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Journal articles on the topic 'Robotic sensors and control'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Kramer, Kathleen A., and Stephen C. Stubberud. "Control Loop Sensor Calibration Using Neural Networks for Robotic Control." Journal of Robotics 2011 (2011): 1–8. http://dx.doi.org/10.1155/2011/845685.

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Whether sensor model’s inaccuracies are a result of poor initial modeling or from sensor damage or drift, the effects can be just as detrimental. Sensor modeling errors result in poor state estimation. This, in turn, can cause a control system relying upon the sensor’s measurements to become unstable, such as in robotics where the control system is applied to allow autonomous navigation. A technique referred to as a neural extended Kalman filter (NEKF) is developed to provide both state estimation in a control loop and to learn the difference between the true sensor dynamics and the sensor mod

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Kazerooni, H., Mark S. Evans, and J. Jones. "Hydrostatic Force Sensor for Robotic Applications." Journal of Dynamic Systems, Measurement, and Control 119, no. 1 (1997): 115–19. http://dx.doi.org/10.1115/1.2801201.

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This article presents a theoretical and experimental investigation of a new kind of force sensor which detects forces by measuring an induced pressure change in a material of large Poisson’s ratio. In this investigation, we develop mathematical expressions for the sensor’s sensitivity and bandwidth, and show that its sensitivity can be much larger and its bandwidth is usually smaller than those of existing strain-gage-type sensors. This force sensor is well-suited for measuring large but slowly varying forces. It can be installed in a space smaller than that required for existing sensors. This

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Cheng, Teddy M., and Andrey V. Savkin. "Decentralized control for mobile robotic sensor network self-deployment: barrier and sweep coverage problems." Robotica 29, no. 2 (2010): 283–94. http://dx.doi.org/10.1017/s0263574710000147.

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SUMMARYThis paper addresses the problems of barrier coverage and sweep coverage in a corridor environment with a network of self-deployed mobile autonomous robotic sensors. Using the ideas of nearest neighbor rules and information consensus, we propose a decentralized control law for the robotic sensors to solve the coverage problems. Numerical simulations illustrate the effectiveness of the proposed algorithm. The results in this paper demonstrate that such simple motion coordination rules can play a significant role in addressing the issue of coverage in a mobile robotic sensor network.

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Zhu, Lingfeng, Yancheng Wang, Deqing Mei, and Chengpeng Jiang. "Development of Fully Flexible Tactile Pressure Sensor with Bilayer Interlaced Bumps for Robotic Grasping Applications." Micromachines 11, no. 8 (2020): 770. http://dx.doi.org/10.3390/mi11080770.

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Flexible tactile sensors have been utilized in intelligent robotics for human-machine interaction and healthcare monitoring. The relatively low flexibility, unbalanced sensitivity and sensing range of the tactile sensors are hindering the accurate tactile information perception during robotic hand grasping of different objects. This paper developed a fully flexible tactile pressure sensor, using the flexible graphene and silver composites as the sensing element and stretchable electrodes, respectively. As for the structural design of the tactile sensor, the proposed bilayer interlaced bumps ca

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Brüggenwirth, Stefan, and Fernando Rial. "Robotic control for cognitive UWB radar." Encyclopedia with Semantic Computing and Robotic Intelligence 02, no. 01 (2018): 1850009. http://dx.doi.org/10.1142/s2529737618500090.

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In the paper, we describe a trajectory planning problem for a six-DoF robotic manipulator arm that carries an ultra-wideband (UWB) radar sensor with synthetic aperture (SAR). The resolution depends on the trajectory and velocity profile of the sensor head. The constraints can be modeled as an optimization problem to obtain a feasible, collision-free target trajectory of the end-effector of the manipulator arm in Cartesian coordinates that minimizes observation time. For 3D reconstruction, the target is observed in multiple height slices. For through-the-wall radar the sensor can be operated in

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Cheng, Teddy M., and Andrey V. Savkin. "Self-deployment of mobile robotic sensor networks for multilevel barrier coverage." Robotica 30, no. 4 (2011): 661–69. http://dx.doi.org/10.1017/s0263574711000877.

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SUMMARYWe study a problem of K-barrier coverage by employing a network of self-deployed, autonomous mobile robotic sensors. A decentralized coordination algorithm is proposed for the robotic sensors to address the coverage problem. The algorithm is developed based on some simple rules that only rely on local information. By applying the algorithm to the robotic sensors, K layers of sensor barriers are formed to cover the region between two given points. To illustrate the proposed algorithm, numerical simulations are carried out for a number of scenarios.

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Setiawan, Joga Dharma, Mochammad Ariyanto, M. Munadi, Muhammad Mutoha, Adam Glowacz, and Wahyu Caesarendra. "Grasp Posture Control of Wearable Extra Robotic Fingers with Flex Sensors Based on Neural Network." Electronics 9, no. 6 (2020): 905. http://dx.doi.org/10.3390/electronics9060905.

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This study proposes a data-driven control method of extra robotic fingers to assist a user in bimanual object manipulation that requires two hands. The robotic system comprises two main parts, i.e., robotic thumb (RT) and robotic fingers (RF). The RT is attached next to the user’s thumb, while the RF is located next to the user’s little finger. The grasp postures of the RT and RF are driven by bending angle inputs of flex sensors, attached to the thumb and other fingers of the user. A modified glove sensor is developed by attaching three flex sensors to the thumb, index, and middle fingers of

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Noritsugu, Toshiro. "Special Issue on Robotics for Innovative Industry and Society." International Journal of Automation Technology 8, no. 2 (2014): 139. http://dx.doi.org/10.20965/ijat.2014.p0139.

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Robotics has become one of the most important automation technologies for industry and society. Robot components such as actuators and sensors, together with mechanisms and control systems, are being more and more combined with intelligent sensors in innovative industry design and fabrication. Robot technology is being applied in such fields as welfare, education, agriculture, and energy. Robot technology for welfare and nursing is being promoted by the government to increase lifestyle creativity as society ages. This special issue focuses on robotics in fields from manufacturing industries to

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Khort, Dmitriy, Alexey Kutyrev, Rostislav Filippov, and Stepan Semichev. "Development control system robotic platform for horticulture." E3S Web of Conferences 262 (2021): 01024. http://dx.doi.org/10.1051/e3sconf/202126201024.

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The article presents a control system for a robotic platform for horticulture. The electronic control system consists of a running engine control unit, a stepper motor steering unit, an electronic differential control unit, a power plant automatic on / off control unit, and battery charging balancing. The developed control system of the robotic vehicle contains a central computer that collects information from sensors and sensors, processes it and transmits control signals to the drives of the machine movement. The movement of the robotic platform is carried out both by a radio signal with a r

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B Lima, Glaydson Luiz, Osamu Saotome, and Ijar M. Da Fonseca. "Inspection and control system for experiments in space robotics." South Florida Journal of Development 2, no. 3 (2021): 4094–104. http://dx.doi.org/10.46932/sfjdv2n3-023.

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The communication subsystem is one among the various subsystems of a telerobotic space system. It is responsible for coordinating the commands received from the teleoperator control subsystem to the robotic arm, for reading signals from the sensors, and for stating the communication of the telerobot with the ground station. The telerobotic experiment under development by the ITA space robotics research group was developed with the purpose of investigating a robotic space system dynamics and control, including the study of the working and integration of all subsystems involved in the teleoperat

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Rahman, S. M. Mizanoor, and Ryojun Ikeura. "Weight-perception-based fixed and variable admittance control algorithms for unimanual and bimanual lifting of objects with a power assist robotic system." International Journal of Advanced Robotic Systems 15, no. 4 (2018): 172988141667813. http://dx.doi.org/10.1177/1729881416678131.

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Weight-perception-based fixed admittance control algorithm and variable admittance control algorithm are proposed for unimanual and bimanual lifting of objects with a power assist robotic system. To include weight perception in controls, the mass parameter for the inertial force is hypothesized as different from that for the gravitational force in the dynamics model for lifting objects with the system. For the bimanual lift, two alternative approaches of force sensor arrangements are considered: a common force sensor and two separate force sensors between object and human hands. Computational

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Moldovan, Constantin Catalin, and Ionel Staretu. "Analysis of the Accuracy and Robustness of Kinect Sensor Used with the Scope of Robot Manipulation." Applied Mechanics and Materials 555 (June 2014): 170–77. http://dx.doi.org/10.4028/www.scientific.net/amm.555.170.

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This paper describes in details the evaluation procedure developed in this paper for the measurement of the Kinect sensors accuracy and robustness in the detection process of the user hand and recognizing human hand gestures. Furthermore, the results are transferred to a robotic gripper in virtual environment for visualization. The research started with consideration on the current state of the methods and sensors used for the detection of the hand gestures. It was seen that the detection of human hand and gestures recognition represent an important research study in the field of robotics cont

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Goryanina, Ksenia I., Aleksndr D. Lukyanov, and Oleg I. Katin. "Review of robotic manipulators and identification of the main problems." MATEC Web of Conferences 226 (2018): 02015. http://dx.doi.org/10.1051/matecconf/201822602015.

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One of the main elements of automation of industrial enterprises is the use of robotic systems consisting of mechanical manipulators and control systems. In recent years, the market of service robotics has been actively developing. The main part of the market of professional service robots in value terms is occupied by medical devices. Agriculture and logistics are also actively developing areas. The success of the automation systems implementation depends on the solution of complex scientific and technical problems, primarily in the following areas: machine vision; sensor networks; navigation

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Vladareanu, Luige. "Advanced Intelligent Control through Versatile Intelligent Portable Platforms." Sensors 20, no. 13 (2020): 3644. http://dx.doi.org/10.3390/s20133644.

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Deep research and communicating new trends in the design, control and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this research. The innovative multi-sensor fusion techniques, integrated through the Versatile Intelligent Portable (VIP) platforms are developed, combined with computer vision, virtual and augmented reality (VR&AR) and intelligent communication, including remote control, adaptive sensor networks, human-robot (H2R) interaction systems and machine-to-machine (M2M) interfaces

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Karalekas, Georgios, Stavros Vologiannidis, and John Kalomiros. "EUROPA: A Case Study for Teaching Sensors, Data Acquisition and Robotics via a ROS-Based Educational Robot." Sensors 20, no. 9 (2020): 2469. http://dx.doi.org/10.3390/s20092469.

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Robots have become a popular educational tool in secondary education, introducing scientific, technological, engineering and mathematical concepts to students all around the globe. In this paper EUROPA, an extensible, open software and open hardware robotic platform is presented focusing on teaching physics, sensors, data acquisition and robotics. EUROPA’s software infrastructure is based οn Robot Operating System (ROS). It includes easy to use interfaces for robot control and interaction with users and thus can easily be incorporated in Science, Technology, Engineering and Mathematics (STEM)

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Patané, Luca. "Bio-Inspired Robotic Solutions for Landslide Monitoring." Energies 12, no. 7 (2019): 1256. http://dx.doi.org/10.3390/en12071256.

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Bio-inspired solutions are often taken into account to solve problems that nature took millions of years to deal with. In the field of robotics, when we need to design systems able to perform in unstructured environments, bio-inspiration can be a useful instrument both for mechanical design and for the control architecture. In the proposed work the problem of landslide monitoring is addressed proposing a bio-inspired robotic structure developed to deploy a series of smart sensors on target locations with the aim of creating a sensor network capable of acquiring information on the status of the

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Gussu, Tesfaye Wakessa, and Chyi-Yeu Lin. "Geometry Based Approach to Obstacle Avoidance of Triomnidirectional Wheeled Mobile Robotic Platform." Journal of Sensors 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/2849537.

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Mobile robots undergo a collision-free autonomous motion by using the information obtained from a suitable combination of multiple sensors of same or different families. These sensors are often configured around the chassis of the robotic platform. However, little to no information is available as to how these sensors are configured on mobile robotic platforms and how many of these sensors to place on such platforms. Instead, an empirical approach is adopted. That is, the number of sensors of the same family or any type as well as combination of sensors for detecting obstacles is determined by

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18

Friedrich, Werner E. "Robotic handling: sensors increase reliability." Industrial Robot: An International Journal 22, no. 4 (1995): 23–26. http://dx.doi.org/10.1108/01439919510098425.

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Girovský, Peter, and Matúš Kundrát. "Robotic Arm Based Dynamixel Actuators Controlled by the Data Glove." International Journal of Engineering Research in Africa 18 (October 2015): 152–58. http://dx.doi.org/10.4028/www.scientific.net/jera.18.152.

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This contribution deals with the control of a robot arm using a data glove. To construct the data gloves were used bend sensors and sensor of acceleration. Robotic arm was built using the modular actuators Dynamixel. Control program for controlling a robot arm using a data glove was created in Matlab.

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RUSSELL, R. ANDREW, GEOFFREY TAYLOR, LINDSAY KLEEMAN, and ANIES H. PURNAMADJAJA. "MULTI-SENSORY SYNERGIES IN HUMANOID ROBOTICS." International Journal of Humanoid Robotics 01, no. 02 (2004): 289–314. http://dx.doi.org/10.1142/s0219843604000162.

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Sensing is a key element for any intelligent robotic system. This paper describes the current progress of a project in the Intelligent Robotics Research Center at Monash University that has the aim of developing a synergistic set of sensory systems for a humanoid robot. Currently, sensing modes for colour vision, stereo vision, active range, smell and airflow are being developed in a size and form that is compatible with the humanoid appearance. Essential considerations are sensor calibration and the processing of sensor data to give reliable information about properties of the robot's environ

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Bogue, Robert. "Sensors for robotic perception. Part one: human interaction and intentions." Industrial Robot: An International Journal 42, no. 5 (2015): 386–91. http://dx.doi.org/10.1108/ir-05-2015-0098.

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Purpose – The purpose of this two-part paper is to illustrate how sensors impart robots with perceptive capabilities. This first part considers robots that interact with humans and which seek to mimic human intentions. Design/methodology/approach – Following a short introduction, this paper first discusses the sensors used in robotic prosthetics. It then considers sensor applications in recently developed service, companion and assistive robots. The final section concerns the sensors used in collaborative robots, followed by brief concluding comments. Findings – This shows that sensors play a

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Malakar, Nabin K., Daniil Gladkov, and Kevin H. Knuth. "Modeling a Sensor to Improve Its Efficacy." Journal of Sensors 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/481054.

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Robots rely on sensors to provide them with information about their surroundings. However, high-quality sensors can be extremely expensive and cost-prohibitive. Thus many robotic systems must make due with lower-quality sensors. Here we demonstrate via a case study how modeling a sensor can improve its efficacy when employed within a Bayesian inferential framework. As a test bed we employ a robotic arm that is designed to autonomously take its own measurements using an inexpensive LEGO light sensor to estimate the position and radius of a white circle on a black field. The light sensor integra

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MAEDER, ANDREAS, HANNES BISTRY, and JIANWEI ZHANG. "INTELLIGENT VISION SYSTEMS FOR ROBOTIC APPLICATIONS." International Journal of Information Acquisition 05, no. 03 (2008): 259–67. http://dx.doi.org/10.1142/s0219878908001648.

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Vision-based sensors are a key component for robot-systems, where many tasks depend on image data. Realtime control constraints bind a lot of processing power for only a single sensor modality. Dedicated and distributed processing resources are the "natural" solution to overcome this limitation. This paper presents experiments, using embedded processors as well as dedicated hardware, to execute various image (pre)processing tasks. Architectural concepts and requirements for intelligent vision systems have been acquired.

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Boyraz, Pinar, Svenja Tappe, Tobias Ortmaier, and Annika Raatz. "Design of a low-cost tactile robotic sleeve for autonomous endoscopes and catheters." Measurement and Control 53, no. 3-4 (2020): 613–26. http://dx.doi.org/10.1177/0020294019895303.

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Recent developments in medical robotics have been significant, supporting the minimally invasive operation requirements, such as smaller devices and more feedback available to surgeons. Nevertheless, the tactile feedback from a catheter or endoscopic type robotic device has been restricted mostly on the tip of the device and was not aimed to support the autonomous movement of the medical device during operation. In this work, we design a robotic sheath/sleeve with a novel and more comprehensive approach, which can function for whole body or segment-based feedback control as well as diagnostic

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Škultéty, Emil, Elena Pivarčiová, and Ladislav Karrach. "Design of an Inertial Measuring Unit for Control of Robotic Devices." Materials Science Forum 952 (April 2019): 313–22. http://dx.doi.org/10.4028/www.scientific.net/msf.952.313.

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Industrial robots are increasingly used to automate technological processes, such as machining, welding, paint coating, assembly, etc. Automation rationalizes material flows, integrates production facilities and reduces the need for manufacturing inventory, provides cost savings for human maintenance. Technology development and growing competition have an influence on production growth and increase of product quality, and thus the new possibilities in innovation of industrial robot are searched for. One of the possibilities is applying of an inertial navigation system into robot control. This

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Winiarski, Tomasz, and Adam Woźniak. "Indirect force control development procedure." Robotica 31, no. 3 (2012): 465–78. http://dx.doi.org/10.1017/s0263574712000446.

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SUMMARYAddition of extra sensors, especially video cameras and force sensors, under control of appropriate software makes robotic manipulators working in factories suitable for a range of new applications. This paper presents a method of manipulator indirect force control development, in which the force set values are specified in the operational space and the manipulator is equipped with a force sensor in its wrist. Standard control development methods need the estimation of parameters of the detailed model of a manipulator and position servos, which is a complicated and time-consuming task.

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Dai, Yanyan, and Suk Gyu Lee. "Multiple Internet of Robotic Things robots based on LiDAR and camera sensors." International Journal of Advanced Robotic Systems 17, no. 2 (2020): 172988142091376. http://dx.doi.org/10.1177/1729881420913769.

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A combination of Internet of Things and multiple robots with sensors has been an attractive research topic over the past years. This article proposes an Internet of Robotic Things system structure to monitor events, fuse sensor data, use local robots to determine a best action, and then act to control multiple mobile robots. The Internet of Robotic Things system includes two main layers: the host controller layer and the multiple robots layer. The controller layer communicates with the multiple robots layer by Wi-Fi module. The Internet of Robotic Things system helps finish five tasks: localiz

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Tawiah, Thomas Andzi-Quainoo. "A review of algorithms and techniques for image-based recognition and inference in mobile robotic systems." International Journal of Advanced Robotic Systems 17, no. 6 (2020): 172988142097227. http://dx.doi.org/10.1177/1729881420972278.

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Autonomous vehicles include driverless, self-driving and robotic cars, and other platforms capable of sensing and interacting with its environment and navigating without human help. On the other hand, semiautonomous vehicles achieve partial realization of autonomy with human intervention, for example, in driver-assisted vehicles. Autonomous vehicles first interact with their surrounding using mounted sensors. Typically, visual sensors are used to acquire images, and computer vision techniques, signal processing, machine learning, and other techniques are applied to acquire, process, and extrac

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Bogue, Robert. "Tactile sensing for surgical and collaborative robots and robotic grippers." Industrial Robot: the international journal of robotics research and application 46, no. 1 (2019): 1–6. http://dx.doi.org/10.1108/ir-12-2018-0255.

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Purpose This paper aims to illustrate the increasingly important role played by tactile sensing in robotics by considering three specific fields of application. Design/methodology/approach Following a short introduction, this paper first provides details of tactile sensing principles, technologies, products and research. The following sections consider tactile sensing applications in robotic surgery, collaborative robots and robotic grippers. Finally, brief conclusions are drawn. Findings Tactile sensors are the topic of an extensive and technologically diverse research effort, with sensing sk

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Yu, Zhiqiang, Qing Shi, Huaping Wang, Ning Yu, Qiang Huang, and Toshio Fukuda. "How to achieve precise operation of a robotic manipulator on a macro to micro/nano scale." Assembly Automation 37, no. 2 (2017): 186–99. http://dx.doi.org/10.1108/aa-02-2017-017.

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Purpose The purpose of this paper is to present state-of-the-art approaches for precise operation of a robotic manipulator on a macro- to micro/nanoscale. Design/methodology/approach This paper first briefly discussed fundamental issues associated with precise operation of a robotic manipulator on a macro- to micro/nanoscale. Second, this paper described and compared the characteristics of basic components (i.e. mechanical parts, actuators, sensors and control algorithm) of the robotic manipulator. Specifically, commonly used mechanisms of the manipulator were classified and analyzed. In addit

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Oliveira, Luiz F. P., António P. Moreira, and Manuel F. Silva. "Advances in Agriculture Robotics: A State-of-the-Art Review and Challenges Ahead." Robotics 10, no. 2 (2021): 52. http://dx.doi.org/10.3390/robotics10020052.

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The constant advances in agricultural robotics aim to overcome the challenges imposed by population growth, accelerated urbanization, high competitiveness of high-quality products, environmental preservation and a lack of qualified labor. In this sense, this review paper surveys the main existing applications of agricultural robotic systems for the execution of land preparation before planting, sowing, planting, plant treatment, harvesting, yield estimation and phenotyping. In general, all robots were evaluated according to the following criteria: its locomotion system, what is the final appli

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Yousuf, Bilal M., Asim Mehdi, Abdul Saboor Khan, Aqib Noor, and Arslan Ali. "Robust Feedback Control Design of Underactuated Robotic Hands with Selectively Lockable Switches for Amputees." Journal of Robotics 2018 (June 7, 2018): 1–9. http://dx.doi.org/10.1155/2018/6835968.

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In recent years, reproduction of human mechanical hand with upgraded abilities is one of the major concerns. This paper addresses the problems of underactuated robotic hand with low cost design as it avoids electromyogram (EMG) sensors. The main goal is to balance the hand in the way, like grabbing, speed, and power, and provide a more robust and cost effective solution. All fingers have some mechanical consistency for picking up objects in a better way. A Flex sensor is attached to all fingers and it is interfaced with a computer using Arduino UNO microcontroller. The sensor aids the arm in t

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Majeed, Tanveer, Mohd Atif Wahid, and Faizan Ali. "Applications of Robotics in Welding." International Journal of Emerging Research in Management and Technology 7, no. 3 (2018): 30. http://dx.doi.org/10.23956/ijermt.v7i3.9.

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An Industrial robot is reprogrammable, automatically controlled, multifunctional manipulator programmable in three or more axes, which may be either fixed in place or mobile for use in industrial automation applications. Technical innovations in robotic welding has facilitated manual welding processes in sever working conditions with enormous heat and fumes to be replaced with robotic welding. The robotic welding has greater capability to control robot motion, welding parameters and enhanced wrong detection and wrong correction. Major difficulties in robotic welding are joint edge inspection,

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Walker, James, Thomas Zidek, Cory Harbel, et al. "Soft Robotics: A Review of Recent Developments of Pneumatic Soft Actuators." Actuators 9, no. 1 (2020): 3. http://dx.doi.org/10.3390/act9010003.

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This paper focuses on the recent development of soft pneumatic actuators for soft robotics over the past few years, concentrating on the following four categories: control systems, material and construction, modeling, and sensors. This review work seeks to provide an accelerated entrance to new researchers in the field to encourage research and innovation. Advances in methods to accurately model soft robotic actuators have been researched, optimizing and making numerous soft robotic designs applicable to medical, manufacturing, and electronics applications. Multi-material 3D printed and fiber

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Georgopoulou, Antonia, Lukas Egloff, Bram Vanderborght, and Frank Clemens. "A Soft Pneumatic Actuator with Integrated Deformation Sensing Elements Produced Exclusively with Extrusion Based Additive Manufacturing." Engineering Proceedings 6, no. 1 (2021): 11. http://dx.doi.org/10.3390/i3s2021dresden-10097.

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In recent years, soft pneumatic actuators have come into the spotlight because of their simple control and the wide range of complex motions. To monitor the deformation of soft robotic systems, elastomer-based sensors are being used. However, the embedding of sensors into soft actuator modules by polymer casting is time consuming and difficult to upscale. In this study, it is shown how a pneumatic bending actuator with an integrated sensing element can be produced using an extrusion-based additive manufacturing method, e.g., fused deposition modeling (FDM). The advantage of FDM against direct

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Preechayasomboon, Pornthep, and Eric Rombokas. "Sensuator: A Hybrid Sensor–Actuator Approach to Soft Robotic Proprioception Using Recurrent Neural Networks." Actuators 10, no. 2 (2021): 30. http://dx.doi.org/10.3390/act10020030.

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Soft robotic actuators are now being used in practical applications; however, they are often limited to open-loop control that relies on the inherent compliance of the actuator. Achieving human-like manipulation and grasping with soft robotic actuators requires at least some form of sensing, which often comes at the cost of complex fabrication and purposefully built sensor structures. In this paper, we utilize the actuating fluid itself as a sensing medium to achieve high-fidelity proprioception in a soft actuator. As our sensors are somewhat unstructured, their readings are difficult to inter

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Groot, A. W. De. "Effect of sensor size in robotic tactile sensor arrays." Robotica 6, no. 4 (1988): 285–87. http://dx.doi.org/10.1017/s026357470000463x.

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SUMMARYThe degree to which a binary tactile (or visual) image matches the original object is limited by the resolution of the sensor array. Given this fundamental limitation it is still possible to minimize the error in the image formed by the interconnection of the centers of activated sensors along the object's edge. This is achieved by a suitable choice of the physical size of each sensor within the limits of the pixel size. An empirical investigation shows that normally a sensor area of about 50% of the square of the resolution yields an optimal result.

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de Mathelin, Michel, Florent Nageotte, Philippe Zanne, and Birgitta Dresp-Langley. "Sensors for Expert Grip Force Profiling: Towards Benchmarking Manual Control of a Robotic Device for Surgical Tool Movements." Sensors 19, no. 20 (2019): 4575. http://dx.doi.org/10.3390/s19204575.

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STRAS (Single access Transluminal Robotic Assistant for Surgeons) is a new robotic system based on the Anubis® platform of Karl Storz for application to intra-luminal surgical procedures. Pre-clinical testing of STRAS has recently permitted to demonstrate major advantages of the system in comparison with classic procedures. Benchmark methods permitting to establish objective criteria for ‘expertise’ need to be worked out now to effectively train surgeons on this new system in the near future. STRAS consists of three cable-driven sub-systems, one endoscope serving as guide, and two flexible ins

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Nakamoto, Hiroyuki, Futoshi Kobayashi, and Fumio Kojima. "Evaluation of Circle Diameter by Distributed Tactile Information in Active Tracing." Journal of Sensors 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/658749.

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Active touch with voluntary movement on the surface of an object is important for human to obtain the local and detailed features on it. In addition, the active touch is considered to enhance the human spatial resolution. In order to improve dexterity performance of multifinger robotic hands, it is necessary to study an active touch method for robotic hands. In this paper, first, we define four requirements of a tactile sensor for active touch and design a distributed tactile sensor model, which can measure a distribution of compressive deformation. Second, we suggest a measurement process wit

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Ferreira, N. M. Fonseca, André Araujo, M. S. Couceiro, and David Portugal. "Intensive summer course in robotics – Robotcraft." Applied Computing and Informatics 16, no. 1/2 (2018): 155–79. http://dx.doi.org/10.1016/j.aci.2018.04.005.

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This paper describes a two-month summer intensive course designed to introduce participants with a hands-on technical craft on robotics and to acquire experience in the low-level details of embedded systems. Attendants started this course with a brief introduction to robotics; learned to draw, design and create a personalized 3D structure for their mobile robotic platform and developed skills in embedded systems. They were familiarize with the practices used in robotics, learning to connect all sensors and actuator, developing a typical application on differential kinematic using Arduino, expl

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Tanaka, Yoshio, Tetsushi Ueta, Hiroshi Kawakami, and Takashi Sumitomo. "A Robotic Truck Crane with Vibration Sensors." Journal of Robotics and Mechatronics 7, no. 3 (1995): 213–17. http://dx.doi.org/10.20965/jrm.1995.p0213.

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To solve the problems of the shortage and increasing age of skilled operators in Japan, we propose a new concept of “robotic crane system” or “intelligent crane system” and develop the prototype system under laboratory conditions. This paper describes the hardware of the robotic crane system, control design of the flexible rotary crane using vibration sensors, and the first experimental results. In order to simulate the crane’s load swing efficiently and develop a 3-D simulator for cranes with a spherical pendulum such as a rotary crane, an efficient dynamic simulation method is also presented

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Li, Shang Rong, and Wei Ping Zhang. "Implementation of Synchronous Tracking Control with Multiple Hall Switch Sensors Based on PLC." Applied Mechanics and Materials 433-435 (October 2013): 178–82. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.178.

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Positioning control is widely used in many fields of applications, such as CNC machine tools, robotic motion control. This paper presents a novel method for position offset detection with a multi-switch type Hall sensors and a control design of tracking the moving object system based on PLC (programmable logic controller). The experimental results showed that the Hall switch sensor could follow the magnets in the different position without departing from each other when the rotating speed of the magnets is no more than 100 [rpm].

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Bogue, Rob. "New technologies for robotic tactile sensing and navigation." Industrial Robot: the international journal of robotics research and application 48, no. 4 (2021): 478–83. http://dx.doi.org/10.1108/ir-03-2021-0054.

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Purpose This aims to provide details of new sensor technologies and developments with potential applications in robotic tactile sensing and navigation. Design/methodology/approach Following a short introduction, this provides examples of tactile sensing research. This is followed by details of research into inertial sensors and other navigation techniques. Finally, brief conclusions are drawn. Findings This shows that tactile sensing and navigation techniques are the topic of a technologically diverse research effort which has prospects to impart various classes of robots with significantly en

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Li, Xiang, and M. Fikret Ercan. "Decentralized Coordination Control for a Network of Mobile Robotic Sensors." Wireless Personal Communications 102, no. 4 (2018): 2429–42. http://dx.doi.org/10.1007/s11277-018-5263-y.

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Vijay Joseph, Arockia, Akshat Mathur, Jatin Verma, and Ankita Singh. "Gesture based wireless control for a robotic manipulator." International Journal of Engineering & Technology 7, no. 2.31 (2018): 231. http://dx.doi.org/10.14419/ijet.v7i2.31.13449.

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This project plays a very important role to complement the industrial and automation field. Nowadays, robots are used in several fields of engineering and manufacturing and the systems for controlling or actuating them have also enhanced from the past. The use of gestures for controlling them has been the new trend to control the movement of robotic manipulators. The various methodologies for controlling them are motion tracking, image processing and by using Kinect sensors. All these methods can be used as a teach pendant where one can provide the movement of the manipulator as a preset and t

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Weiner, Pascal, Caterina Neef, Yoshihisa Shibata, Yoshihiko Nakamura, and Tamim Asfour. "An Embedded, Multi-Modal Sensor System for Scalable Robotic and Prosthetic Hand Fingers." Sensors 20, no. 1 (2019): 101. http://dx.doi.org/10.3390/s20010101.

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Grasping and manipulation with anthropomorphic robotic and prosthetic hands presents a scientific challenge regarding mechanical design, sensor system, and control. Apart from the mechanical design of such hands, embedding sensors needed for closed-loop control of grasping tasks remains a hard problem due to limited space and required high level of integration of different components. In this paper we present a scalable design model of artificial fingers, which combines mechanical design and embedded electronics with a sophisticated multi-modal sensor system consisting of sensors for sensing n

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Fang, Bin, Hongxiang Xue, Fuchun Sun, Yiyong Yang, and Renxiang Zhu. "A cross-modal tactile sensor design for measuring robotic grasping forces." Industrial Robot: the international journal of robotics research and application 46, no. 3 (2019): 337–44. http://dx.doi.org/10.1108/ir-08-2018-0175.

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PurposeThe purpose of the paper is to present a novel cross-modal sensor whose tactile is computed by the visual information. The proposed sensor can measure the forces of robotic grasping.Design/methodology/approachThe proposed cross-modal tactile sensor consists of a transparent elastomer with markers, a camera, an LED circuit board and supporting structures. The model and performance of the elastomer are analyzed. Then marker recognition method is proposed to determine the movements of the marker on the surface, and the force calculation algorithm is presented to compute the three-dimension

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Lin, Shifeng, and Ning Wang. "Cloud robotic grasping of Gaussian mixture model based on point cloud projection under occlusion." Assembly Automation 41, no. 3 (2021): 312–23. http://dx.doi.org/10.1108/aa-11-2020-0170.

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Purpose In multi-robot cooperation, the cloud can share sensor data, which can help robots better perceive the environment. For cloud robotics, robot grasping is an important ability that must be mastered. Usually, the information source of grasping mainly comes from visual sensors. However, due to the uncertainty of the working environment, the information acquisition of the vision sensor may encounter the situation of being blocked by unknown objects. This paper aims to propose a solution to the problem in robot grasping when the vision sensor information is blocked by sharing the informatio

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Leung, Anderson, and Shahram Payandeh. "Application of adaptive neural network to localization of objects using pressure array transducer." Robotica 14, no. 4 (1996): 407–14. http://dx.doi.org/10.1017/s0263574700019809.

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SUMMARYPattern recognition and object localization, using various sensors such as vision and tactile sensors, are two important areas of research in the application of robotic systems. This paper demonstrates the feasibility of using some relatively inexpensive array of pressure sensors and a neural network approach to achieve object localization and pattern recognition. The sensors that are used are force sensing resistors (FSRs), more specifically, a 16 x 16 array of FSRs. Because of the nonlinearity associated with a FSR, three possible approaches for gathering output from the sensor array

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Ben Abdallah, Ismail, Yassine Bouteraa, and Chokri Rekik. "Kinect-Based Sliding Mode Control for Lynxmotion Robotic Arm." Advances in Human-Computer Interaction 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/7921295.

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Recently, the technological development of manipulator robot increases very quickly and provides a positive impact to human life. The implementation of the manipulator robot technology offers more efficiency and high performance for several human’s tasks. In reality, efforts published in this context are focused on implementing control algorithms with already preprogrammed desired trajectories (passive robots case) or trajectory generation based on feedback sensors (active robots case). However, gesture based control robot can be considered as another channel of system control which is not wid

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