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Journal articles on the topic 'Robot sensing'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Hayashi, Akiyoshi, Liz Katherine Rincon-Ardila, and Gentiane Venture. "Improving HRI with Force Sensing." Machines 10, no. 1 (2021): 15. http://dx.doi.org/10.3390/machines10010015.

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In the future, in a society where robots and humans live together, HRI is an important field of research. While most human–robot-interaction (HRI) studies focus on appearance and dialogue, touch-communication has not been the focus of many studies despite the importance of its role in human–human communication. This paper investigates how and where humans touch an inorganic non-zoomorphic robot arm. Based on these results, we install touch sensors on the robot arm and conduct experiments to collect data of users’ impressions towards the robot when touching it. Our results suggest two main thin

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Zou, Rui, Yubin Liu, Ying Li, Guoqing Chu, Jie Zhao, and Hegao Cai. "A Novel Human Intention Prediction Approach Based on Fuzzy Rules through Wearable Sensing in Human–Robot Handover." Biomimetics 8, no. 4 (2023): 358. http://dx.doi.org/10.3390/biomimetics8040358.

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With the use of collaborative robots in intelligent manufacturing, human–robot interaction has become more important in human–robot collaborations. Human–robot handover has a huge impact on human–robot interaction. For current research on human–robot handover, special attention is paid to robot path planning and motion control during the handover process; seldom is research focused on human handover intentions. However, enabling robots to predict human handover intentions is important for improving the efficiency of object handover. To enable robots to predict human handover intentions, a nove

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Yu, Xinbo, Shuang Zhang, Yu Liu, Bin Li, Yinsong Ma, and Gaochen Min. "Co-carrying an object by robot in cooperation with humans using visual and force sensing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, no. 2207 (2021): 20200373. http://dx.doi.org/10.1098/rsta.2020.0373.

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Human–robot collaboration poses many challenges where humans and robots work inside a shared workspace. Robots collaborating with humans indirectly bring difficulties for accomplishing co-carrying tasks. In our work, we focus on co-carrying an object by robots in cooperation with humans using visual and force sensing. A framework using visual and force sensing is proposed for human–robot co-carrying tasks, enabling robots to actively cooperate with humans and reduce human efforts. Visual sensing for perceiving human motion is involved in admittance-based force control, and a hybrid controller

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Lapusan, Ciprian, Olimpiu Hancu, and Ciprian Rad. "Shape Sensing of Hyper-Redundant Robots Using an AHRS IMU Sensor Network." Sensors 22, no. 1 (2022): 373. http://dx.doi.org/10.3390/s22010373.

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The paper proposes a novel approach for shape sensing of hyper-redundant robots based on an AHRS IMU sensor network embedded into the structure of the robot. The proposed approach uses the data from the sensor network to directly calculate the kinematic parameters of the robot in modules operational space reducing thus the computational time and facilitating implementation of advanced real-time feedback system for shape sensing. In the paper the method is applied for shape sensing and pose estimation of an articulated joint-based hyper-redundant robot with identical 2-DoF modules serially conn

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Verner, Igor M., Dan Cuperman, and Michael Reitman. "Exploring Robot Connectivity and Collaborative Sensing in a High-School Enrichment Program." Robotics 10, no. 1 (2021): 13. http://dx.doi.org/10.3390/robotics10010013.

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Education is facing challenges to keep pace with the widespread introduction of robots and digital technologies in industry and everyday life. These challenges necessitate new approaches to impart students at all levels of education with the knowledge of smart connected robot systems. This paper presents the high-school enrichment program Intelligent Robotics and Smart Transportation, which implements an approach to teaching the concepts and skills of robot connectivity, collaborative sensing, and artificial intelligence, through practice with multi-robot systems. The students used a simple co

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Verner, Igor M., Dan Cuperman, and Michael Reitman. "Exploring Robot Connectivity and Collaborative Sensing in a High-School Enrichment Program." Robotics 10, no. 1 (2021): 13. http://dx.doi.org/10.3390/robotics10010013.

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Education is facing challenges to keep pace with the widespread introduction of robots and digital technologies in industry and everyday life. These challenges necessitate new approaches to impart students at all levels of education with the knowledge of smart connected robot systems. This paper presents the high-school enrichment program Intelligent Robotics and Smart Transportation, which implements an approach to teaching the concepts and skills of robot connectivity, collaborative sensing, and artificial intelligence, through practice with multi-robot systems. The students used a simple co

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Bogue, Robert. "Detecting humans in the robot workspace." Industrial Robot: An International Journal 44, no. 6 (2017): 689–94. http://dx.doi.org/10.1108/ir-07-2017-0132.

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Purpose This paper aims to provide a technical insight into a selection of robotic people detection technologies and applications. Design/methodology/approach Following an introduction, this paper first discusses people-sensing technologies which seek to extend the capabilities of human-robot collaboration by allowing humans to operate alongside conventional, industrial robots. It then provides examples of developments in people detection and tracking in unstructured, dynamic environments. Developments in people sensing and monitoring by assistive robots are then considered and finally, brief

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Giunchiglia, Fausto, Enrico Bignotti, and Mattia Zeni. "Human-Like Context Sensing for Robot Surveillance." International Journal of Semantic Computing 12, no. 01 (2018): 129–48. http://dx.doi.org/10.1142/s1793351x1840007x.

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Robot surveillance requires robots to make sense of what is happening around them, which is what humans do with contexts. This is critical when the robots have to interact with people. Thus, the main issue is how to model human-like context to be mapped to robots, so that they can mirror human understanding. We propose a context model, organized according to the different dimensions of the environment. We then introduce the notions of endurants and perdurants to account for how space and time, respectively, aggregate context for humans. To map real-world data, i.e. sensory inputs, to our conte

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Rogelio Guadarrama Olvera, J., Emmanuel Dean Leon, Florian Bergner, and Gordon Cheng. "Plantar Tactile Feedback for Biped Balance and Locomotion on Unknown Terrain." International Journal of Humanoid Robotics 17, no. 01 (2020): 1950036. http://dx.doi.org/10.1142/s0219843619500361.

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This work introduces a new sensing system for biped robots based on plantar robot skin, which provides not only the resultant forces applied on the ankles but a precise shape of the pressure distribution in the sole together with other extra sensing modalities (temperature, pre-touch and acceleration). The information provided by the plantar robot skin can be used to compute the center of pressure and the ground reaction forces. This information also enables the online construction of the supporting polygon and its preemptive shape before foot landing using the proximity sensors in the robot s

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Pearson, Martin J., Ben Mitchinson, J. Charles Sullivan, Anthony G. Pipe, and Tony J. Prescott. "Biomimetic vibrissal sensing for robots." Philosophical Transactions of the Royal Society B: Biological Sciences 366, no. 1581 (2011): 3085–96. http://dx.doi.org/10.1098/rstb.2011.0164.

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Active vibrissal touch can be used to replace or to supplement sensory systems such as computer vision and, therefore, improve the sensory capacity of mobile robots. This paper describes how arrays of whisker-like touch sensors have been incorporated onto mobile robot platforms taking inspiration from biology for their morphology and control. There were two motivations for this work: first, to build a physical platform on which to model, and therefore test, recent neuroethological hypotheses about vibrissal touch; second, to exploit the control strategies and morphology observed in the biologi

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Kim, Jonghoek. "Constructing 3D Underwater Sensor Networks without Sensing Holes Utilizing Heterogeneous Underwater Robots." Applied Sciences 11, no. 9 (2021): 4293. http://dx.doi.org/10.3390/app11094293.

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This article handles building underwater sensor networks autonomously using multiple surface ships. For building underwater sensor networks in 3D workspace with many obstacles, this article considers surface ships dropping underwater robots into the underwater workspace. We assume that every robot is heterogeneous, such that each robot can have a distinct sensing range while moving with a distinct speed. The proposed strategy works by moving a single robot at a time to spread out the underwater networks until the 3D cluttered workspace is fully covered by sensors of the robots, such that no se

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Mrva, Jakub, Martin Stejskal, and Jan Faigl. "ON TRAVERSABILITY COST EVALUATION FROM PROPRIOCEPTIVE SENSING FOR A CRAWLING ROBOT." Acta Polytechnica CTU Proceedings 2, no. 2 (2015): 34–39. http://dx.doi.org/10.14311/app.2015.1.0034.

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Traversability characteristics of the robot working environment are crucial in planning an efficient path for a robot operating in rough unstructured areas. In the literature, approaches to wheeled or tracked robots can be found, but a relatively little attention is given to walking multi-legged robots. Moreover, the existing approaches for terrain traversability assessment seem to be focused on gathering key features from a terrain model acquired from range data or camera image and only occasionally supplemented with proprioceptive sensing that expresses the interaction of the robot with the

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Serebrenny, Vladimir. "Use of U-sensor for motion safety of a collaborative manipulative robot." Robotics and Technical Cybernetics 11, no. 4 (2023): 267–73. http://dx.doi.org/10.31776/rtcj.11403.

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One approach to increasing the operational efficiency of robotics is to utilize the capabilities of modern collabora-tive applications of robots. Within the framework of the paper, issues related to the possibility of utilizing the availa-ble sensor base, namely ultrasonic sensors for the sensing of robots for further collaborative use are discussed. A model of a sensing robot is presented and elements of a control algorithm for a collaborative robot are proposed.

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Guo, Fu Qin, and Yuan Qing Wang. "Study of Remote Sensing and Remote Sensing Robot Technology." Applied Mechanics and Materials 214 (November 2012): 914–18. http://dx.doi.org/10.4028/www.scientific.net/amm.214.914.

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Remote sensing robot technology is an emerging research area, which attains a development in recent years. In this paper, the definitions of remote sensing and robot remote sensing will be discussed, and then the remote mines detection technology of RAT-1 eight-wheeled robot, the application of IR-optical sensor in mobile robot for detection and source location of gas leakage, the monitoring of environment intelligent robot on environment and the positioning of mobile robot on targets and other focuses are emphatically introduced, and finally the important problems in each application as well

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Pang, Gaoyang, Jia Deng, Fangjinhua Wang, Junhui Zhang, Zhibo Pang, and Geng Yang. "Development of Flexible Robot Skin for Safe and Natural Human–Robot Collaboration." Micromachines 9, no. 11 (2018): 576. http://dx.doi.org/10.3390/mi9110576.

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For industrial manufacturing, industrial robots are required to work together with human counterparts on certain special occasions, where human workers share their skills with robots. Intuitive human–robot interaction brings increasing safety challenges, which can be properly addressed by using sensor-based active control technology. In this article, we designed and fabricated a three-dimensional flexible robot skin made by the piezoresistive nanocomposite based on the need for enhancement of the security performance of the collaborative robot. The robot skin endowed the YuMi robot with a tact

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Ercolani, Chiara, Wanting Jin, and Alcherio Martinoli. "3D Gas Sensing with Multiple Nano Aerial Vehicles: Interference Analysis, Algorithms and Experimental Validation." Sensors 23, no. 20 (2023): 8512. http://dx.doi.org/10.3390/s23208512.

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Within the scope of the ongoing efforts to fight climate change, the application of multi-robot systems to environmental mapping and monitoring missions is a prominent approach aimed at increasing exploration efficiency. However, the application of such systems to gas sensing missions has yet to be extensively explored and presents some unique challenges, mainly due to the hard-to-sense and expensive-to-model nature of gas dispersion. For this paper, we explored the application of a multi-robot system composed of rotary-winged nano aerial vehicles to a gas sensing mission. We qualitatively and

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Alam, Tauhidul, and Leonardo Bobadilla. "Multi-Robot Coverage and Persistent Monitoring in Sensing-Constrained Environments." Robotics 9, no. 2 (2020): 47. http://dx.doi.org/10.3390/robotics9020047.

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This article examines the problems of multi-robot coverage and persistent monitoring of regions of interest with limited sensing robots. A group of robots, each equipped with only contact sensors and a clock, execute a simple trajectory by repeatedly moving straight and then bouncing at perimeter boundaries by rotating in place. We introduce an approach by finding a joint trajectory for multiple robots to cover a given environment and generating cycles for the robots to persistently monitor the target regions in the environment. From a given initial configuration, our approach iteratively find

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Endo, Takahiro, Ryuma Maeda, and Fumitoshi Matsuno. "Stability Analysis of Swarm Heterogeneous Robots with Limited Field of View." Informatics and Automation 19, no. 5 (2020): 942–66. http://dx.doi.org/10.15622/ia.2020.19.5.2.

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This paper presents a stability analysis of swarm robots, a group of multiple robots. In particular, we focus on robot swarms with heterogeneous abilities, in which each robot has a different sensing range and physical limitations, including maximum velocity and acceleration. In addition, each robot has a unique sensing region with a limited angle field of view. We previously proposed a decentralized navigation method for such heterogeneous swarm robots consisting of one leader and multiple followers. With the decentralized navigation method, a single leader can navigate for followers while ma

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Kawasaki, Haruhisa. "Special Issue on Recent Advances in Robot Control." Journal of Robotics and Mechatronics 13, no. 5 (2001): 449. http://dx.doi.org/10.20965/jrm.2001.p0449.

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This special issue contains outstanding papers on robot control presented at international meetings in Japan in 2000. Featured topics include face robots, polishing robots, control for multifingered robotic hands, re configurable brachiating space robots, DD parallel robots, and robot control technologies such as a distributed robust motion controller, image-based visual servoing, fault adaptive kinematic control, and optimum control for a robot manipulator. We also will have a variety of topics such as shaft insert tasks in the robot task field, fingerprint image sensing in sensing technologi

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KALLUR, DR SUDHAKAR, SAMHITHA GOPU, V. SAI SRITHA, and P. SHRIZA REDDY. "ENHANCED HUMANROBOT COLLABORATION VIA IOT ROBOT SKIN IN FUTURE TELEHEALTHCARE." Journal of Nonlinear Analysis and Optimization 15, no. 02 (2024): 159–64. https://doi.org/10.36893/jnao.2024.v15i12.045.

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With the fourth revolution of healthcare, i.e., Healthcare 4.0, collaborative robotics is spilling out from traditional manufacturing and will blend into human living or working environments to deliver care services, especially tele healthcare. Because of the frequent and seamless interaction between robots and care recipients, it poses several challenges that require careful consideration: 1) the ability of the human to collaborate with the robots in a natural manner; and 2) the safety of the human collaborating with the robot. In this regard, we have proposed a proximity sensing solution bas

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21

Blay, A. G. "Robot Tactile Sensing." Computing & Control Engineering Journal 2, no. 5 (1991): 238. http://dx.doi.org/10.1049/cce:19910063.

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Scheutz, Clara, Theresa Law, and Matthias Scheutz. "EnviRobots: How Human–Robot Interaction Can Facilitate Sustainable Behavior." Sustainability 13, no. 21 (2021): 12283. http://dx.doi.org/10.3390/su132112283.

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Environmental psychology aims to study human behavior with regard to the environment and how psychological techniques can be used to motivate behavior change. We argue that these concepts can be applied to interactive robots designed for other tasks, which then enables them to encourage sustainability behaviors in humans. We first present a literature review on the current state of social robots that are used to encourage sustainable behaviors. We next present eight hypothetical scenarios which are informed by the progress that has already been made in social robots in sustainability, as well

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Zhao, Shun, Xuewei Lu, Kunyang Wang, et al. "A TEC Cooling Soft Robot Driven by Twisted String Actuators." Biomimetics 8, no. 2 (2023): 221. http://dx.doi.org/10.3390/biomimetics8020221.

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Similar to biological muscles in nature, artificial muscles have unique advantages for driving bionic robots. However, there is still a large gap between the performance of existing artificial muscles and biological muscles. Twisted polymer actuators (TPAs) convert rotary motion from torsional to linear motion. TPAs are known for their high energy efficiency and large linear strain and stress outputs. A simple, lightweight, low-cost, self-sensing robot powered using a TPA and cooled using a thermoelectric cooler (TEC) was proposed in this study. Because TPA burns easily at high temperatures, t

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Ferreira, Fausto, Igor Kvasić, Đula Nađ, et al. "Diver‐Robot Communication Using Wearable Sensing: Remote Pool Experiments." Marine Technology Society Journal 56, no. 5 (2022): 26–35. http://dx.doi.org/10.4031/mtsj.56.5.5.

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Abstract Diver‐robot interaction is an exciting and recent field of study. There are different ways a diver and robot can interact, such as using tablets or detecting divers with cameras or sonars. A novel approach presented in this paper uses direct diver‐robot communication. To facilitate communication for humans, we use typical diver gestures, which are transmitted to a robot using a wearable glove and acoustic communications. Following previous work by the University of Zagreb and the University of Auckland, a collaboration to control an autonomous underwater vehicle based on a wearable di

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Wang, Ting Jun. "General Technologies of Music Playing Robots." Applied Mechanics and Materials 184-185 (June 2012): 1570–73. http://dx.doi.org/10.4028/www.scientific.net/amm.184-185.1570.

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Main common technologies of music playing robots are presented based on a xylophone playing robot design and implementation. The research on the common technologies for music playing robots discussed overall arrangement, mechanism structure, transmission mode, control system, music program environmental sensing, behavior, behavior and strategy. Some factors of effecting on music playing robots are discussed. A xylophone-playing robot is analysed and its common technologies are introduced. The xylophone-playing robot realized unmanned playing music via the expectant music control program.

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Singh, A., A. Krause, C. Guestrin, and W. J. Kaiser. "Efficient Informative Sensing using Multiple Robots." Journal of Artificial Intelligence Research 34 (April 27, 2009): 707–55. http://dx.doi.org/10.1613/jair.2674.

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The need for efficient monitoring of spatio-temporal dynamics in large environmental applications, such as the water quality monitoring in rivers and lakes, motivates the use of robotic sensors in order to achieve sufficient spatial coverage. Typically, these robots have bounded resources, such as limited battery or limited amounts of time to obtain measurements. Thus, careful coordination of their paths is required in order to maximize the amount of information collected, while respecting the resource constraints. In this paper, we present an efficient approach for near-optimally solving the

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Liu, Zhe, Diansheng Chen, Junlin Ma, et al. "A warm hug from a robot: A dual-mode e-skin with programming compliance." Review of Scientific Instruments 93, no. 11 (2022): 115007. http://dx.doi.org/10.1063/5.0112754.

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Recent achievements in the field of electronic skin (e-skin) have provided promising technology for service robots. However, the development of a bionic perception system that exhibits superior performance in terms of safety and interaction quality remains a challenge. Here, we demonstrate a biomimetic soft e-skin that is composed of an array of capacitors and air pouches. It is a single platform that shows dual-mode sensing capabilities of tactile sensing and proximity perception. We optimized the shape and area of the electrode via simulation of the approach of a robot to an object. Moreover

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Fredy, H. Martínez S., Martínez S. Fernando, and Montiel A. Holman. "Bacterial quorum sensing applied to the coordination of autonomous robot swarms." Bulletin of Electrical Engineering and Informatics 9, no. 1 (2020): 67–74. https://doi.org/10.11591/eei.v9i1.1538.

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This paper proposes a strategy for the coordination of a swarm of robots in an unknown environment. The basic idea is to achieve the autonomous movement of the group from an initial region to a target region avoiding obstacles. We use a behavior model similar to bacterial Quorum Sensing (QS) as a technique for the coordination of robots. This behavior has been described as a key element in the interaction between bacteria, and we use it as a basic tool for local interaction, both between the robot and between the robot and the environment. The movement of the swarm of robots, or multi-agent ro

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S, Smys, and Ranganathan G. "ROBOT ASSISTED SENSING, CONTROL AND MANUFACTURE IN AUTOMOBILE INDUSTRY." Journal of ISMAC 01, no. 03 (2019): 180–87. http://dx.doi.org/10.36548/jismac.2019.3.005.

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Robots are used in a wide extent in automobile manufacturing industry. This system adds to the safety and flexibility of the stages of production. These robots protects the employees from dangerous, difficult and dirty tasks, improve quality, relieve bottlenecks, and improve capacity. In this paper, we propose a novel pick and place robot for sensing, control and manufacture in automobile industry. The payload and mean error rate are analysed and the performance of the robot is analysed and optimized. This technology is more affordable and can be installed for speeding up the manufacturing pro

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Xiao, Qi, Yunchuan Qin, Cheng Xu, and Kenli Li. "Secure Key Establishment Mechanism for Smart Sensing System Based Robots Network." Sensors 20, no. 7 (2020): 1970. http://dx.doi.org/10.3390/s20071970.

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The smart robot is playing an increasingly important role in the social economy, and multi-robot systems will be an important development in robotics. With smart sensing systems, the communications between sensors, actuators, and edge computing systems and robots are prone to be attacked due to the highly dynamic and distributed environment. Since smart robots are often distributed in open environments, as well as due to their limited hardware resources and security protection capabilities, the security requirements of their keys cannot be met with traditional key distribution algorithms. In t

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Kurita, Eisuke, Yuichi Kobayashi, and Manabu Gouko. "Motion Generation by Integration of Multiple Observation Spaces for Robots with Limited Range of Observation." Advanced Materials Research 403-408 (November 2011): 4681–88. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4681.

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Sensors of robots that act in unstructured environment sometimes do not provide complete observation, due to occlusion or limitation of sensing range. This paper presents a motion generation method for robot with multiple sensors with limited sensing ranges. The proposed method introduce extension of the action- observation mapping to outside of the sensing range of a sensor, based on the diffusion-based learning of Jacobian matrices between control input and observation variable. Multiple observation spaces can be integrated by finding correspondence between the virtual observation spaces. Wh

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Lin, Keng-Yu, Arturo Gamboa-Gonzalez, and Michael Wehner. "Soft Robotic Sensing, Proprioception via Cable and Microfluidic Transmission." Electronics 10, no. 24 (2021): 3166. http://dx.doi.org/10.3390/electronics10243166.

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Current challenges in soft robotics include sensing and state awareness. Modern soft robotic systems require many more sensors than traditional robots to estimate pose and contact forces. Existing soft sensors include resistive, conductive, optical, and capacitive sensing, with each sensor requiring electronic circuitry and connection to a dedicated line to a data acquisition system, creating a rapidly increasing burden as the number of sensors increases. We demonstrate a network of fiber-based displacement sensors to measure robot state (bend, twist, elongation) and two microfluidic pressure

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Eu, Kok Seng, Kian Meng Yap, and Tiam Hee Tee. "An Airflow Analysis Study of Quadrotor Based Flying Sniffer Robot." Applied Mechanics and Materials 627 (September 2014): 246–50. http://dx.doi.org/10.4028/www.scientific.net/amm.627.246.

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Wheeled based sniffer robots have been using in current research trend of odor plume tracking, but they have a serious pitfall because they only perform2D odor plume tracking which is ineffective. The main reason of being ineffective is because wheeled sniffer robots ignore the fact that the majority of odor plumes are released into 3D space instead of 2D space. Therefore, a flying sniffer robot is needed to overcome 3D odor plume tracking problem. In this paper, we propose to use a quadrotor as the locomotion of a flying sniffer robot. In order to make sure the quadrotor based flying sniffer

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Liu, Guangjun, Sajan Abdul, and Andrew A. Goldenberg. "Distributed control of modular and reconfigurable robot with torque sensing." Robotica 26, no. 1 (2008): 75–84. http://dx.doi.org/10.1017/s0263574707003608.

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SUMMARYA major technical challenge in controlling modular and reconfigurable robots is associated with the kinematics and dynamic model uncertainties caused by reconfiguration. In parallel, conventional model uncertainties such as uncompensated joint friction still persist. This paper presents a modular distributed control technique for modular and reconfigurable robots that can instantly adapt to robot reconfigurations. Under the proposed control method that is based on joint torque sensing, a modular and reconfigurable robot is stabilized joint by joint, and modules can be added or removed w

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Okina, Shinnosuke, Kuniaki Kawabata, Teruo Fujii, Yasuharu Kunii, Hajime Asama, and Isao Endo. "Self-diagnosis System of an Autonomous Mobile Robot Using Sensory Information." Journal of Robotics and Mechatronics 12, no. 2 (2000): 72–77. http://dx.doi.org/10.20965/jrm.2000.p0072.

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In this paper, we describe a basic sensing system for self-diagnosing an autonomous mobile robot. In recent years, many researches on intelligent robots and systems have been done. But, when such robots and systems work in the real environment, it is important for those robots and systems to have the ability to recognize their own conditions for detecting faults. On the point of view, we should consider pay more attention to diagnose in such intelligent systems. Therefore we try to construct an internal sensing system as a self-diagnosis system on a real robot. Especially, in this paper, we di

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Oyelami, Adekunle Taofeek, Joshua Ayomide Oyadokun, Olusola A. Akintunlaji, and George C. Ihenacho. "Low-cost multi-sensing fire-fighting robot with obstacle avoidance mechanism." IAES International Journal of Robotics and Automation (IJRA) 13, no. 4 (2024): 373. http://dx.doi.org/10.11591/ijra.v13i4.pp373-379.

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Robots are mostly optimized for tasks that require strength exceeding that of humans or for operations in hazardous environments. The fire-fighting robot developed has multiple sensing capabilities with obstacle avoidance mechanisms and is divided into two units: the robot and the static unit. The robot is equipped with three flame sensors to detect flames (infrared radiation) in three directions, an ultrasonic sensor to avoid obstacles, a wireless receiver to receive data from the static unit, a magnetometer giving the robot a sense of direction, and a unit of Arduino Mega microcontroller ser

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Oyelami, Adekunle Taofeek, Joshua Ayomide Oyadokun, Olusola A. Akintunlaji, and George C. Ihenacho. "Low-cost multi-sensing fire-fighting robot with obstacle avoidance mechanism." IAES International Journal of Robotics and Automation 13, no. 4 (2024): 373–79. https://doi.org/10.11591/ijra.v13i4.pp373-379.

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Robots are mostly optimized for tasks that require strength exceeding that of humans or for operations in hazardous environments. The fire-fighting robot developed has multiple sensing capabilities with obstacle avoidance mechanisms and is divided into two units: the robot and the static unit. The robot is equipped with three flame sensors to detect flames (infrared radiation) in three directions, an ultrasonic sensor to avoid obstacles, a wireless receiver to receive data from the static unit, a magnetometer giving the robot a sense of direction, and a unit of Arduino Mega microcontroller ser

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Lekshmi, A. S., Babu Leya, S. Malavika, B. L. Maneesha, and Akhila Vijay Prof. "Night Vision Security Robot for Women." Research and Reviews: Advancement in Robotics 8, no. 1 (2024): 1–11. https://doi.org/10.5281/zenodo.13766481.

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<em>Technology can address pressing issues like women's safety, especially during night-time when vulnerabilities increase. Traditional surveillance methods, such as CCTV cameras, are expensive and limited in range. To address these limitations, mobile robots are being developed. A security patrolling robot using Raspberry Pi is proposed to survey night patrolling areas. This night vision security patrolling robot with sound sensing capabilities is designed to enhance security measures in various environments, particularly during night-time or low-light conditions. Equipped with night vision c

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Wang, Yaodong, Meng Hong, Hui Chai, et al. "Research on Foot Contact State Detection Technology of Wheel-Legged Robot." Sensors 24, no. 12 (2024): 3956. http://dx.doi.org/10.3390/s24123956.

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The accurate perception of external environment information through the robot foot is crucial for the mobile robot to evaluate its ability to traverse terrain. Adequate foot-end contact signals can provide robust support for robot motion control and decision-making processes. The shape and uncertain rotation of the wheel-legged robot foot end represent a significant challenge to sensing the robot foot-end contact state, which current foot-end sensing schemes cannot solve. This paper presents a sensing method for the tire stress field of wheel-legged robots. A finite element analysis was conduc

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Zabalza, Jaime, Zixiang Fei, Cuebong Wong, et al. "Smart Sensing and Adaptive Reasoning for Enabling Industrial Robots with Interactive Human-Robot Capabilities in Dynamic Environments—A Case Study." Sensors 19, no. 6 (2019): 1354. http://dx.doi.org/10.3390/s19061354.

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Traditional industry is seeing an increasing demand for more autonomous and flexible manufacturing in unstructured settings, a shift away from the fixed, isolated workspaces where robots perform predefined actions repetitively. This work presents a case study in which a robotic manipulator, namely a KUKA KR90 R3100, is provided with smart sensing capabilities such as vision and adaptive reasoning for real-time collision avoidance and online path planning in dynamically-changing environments. A machine vision module based on low-cost cameras and color detection in the hue, saturation, value (HS

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Cheng, Xiao, Fan Zhang, and Wentao Dong. "Soft Conductive Hydrogel-Based Electronic Skin for Robot Finger Grasping Manipulation." Polymers 14, no. 19 (2022): 3930. http://dx.doi.org/10.3390/polym14193930.

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Electronic skin with human-like sensory capabilities has been widely applied to artificial intelligence, biomedical engineering, and the prosthetic hand for expanding the sensing ability of robots. Robotic electronic skin (RES) based on conductive hydrogel is developed to collect strain and pressure data for improving the grasping capability of the robot finger. RES is fabricated and assembled by the soft functional materials through a sol–gel process for guaranteeing the overall softness. The strain sensor based on piezoresistive hydrogel (gauge factor ~9.98) is integrated onto the back surfa

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Khawaja, Fahad Iqbal, Akira Kanazawa, Jun Kinugawa, and Kazuhiro Kosuge. "A Human-Following Motion Planning and Control Scheme for Collaborative Robots Based on Human Motion Prediction." Sensors 21, no. 24 (2021): 8229. http://dx.doi.org/10.3390/s21248229.

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Human–Robot Interaction (HRI) for collaborative robots has become an active research topic recently. Collaborative robots assist human workers in their tasks and improve their efficiency. However, the worker should also feel safe and comfortable while interacting with the robot. In this paper, we propose a human-following motion planning and control scheme for a collaborative robot which supplies the necessary parts and tools to a worker in an assembly process in a factory. In our proposed scheme, a 3-D sensing system is employed to measure the skeletal data of the worker. At each sampling tim

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Onose, Ryo, and Hideyuki Sawada. "Development of Tendon-Driven Continuum Robot with Visual Posture Sensing for Object Grasping." Actuators 14, no. 3 (2025): 140. https://doi.org/10.3390/act14030140.

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Inspired by the characteristics of living organisms with soft bodies and flexibility, continuum robots, which bend their robotic bodies and adapt to different shapes, have been widely introduced. Such robots can be used as manipulators to handle objects by wrapping themselves around them, and they are expected to have high grasping performance. However, their infinite degrees of freedom and soft structure make modeling and controlling difficult. In this study, we develop a tendon-driven continuum robot system with color-based posture sensing. The robot is driven by dividing the continuum body

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Aghazadeh, Fereydoun, Robert Hirschfeld, and Robert Chapleski. "Industrial Robot Use: Survey Results and Hazard Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 14 (1993): 994–98. http://dx.doi.org/10.1177/154193129303701413.

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Robotic workcells have proliferated in recent years but safety guidance in the area of safety sensing devices has not kept pace. Research investigating current robot use was conducted through safety survey questionnaires returned from 29 robot using corporations across the nation. The research goal was to identify the hazards which workers are exposed to while working near robots. Only 5% of robots were found to have redundant sensing and 40% could not be physically enclosed in barrier perimeters. In addition, personnel were found to enter a robot's work area for 38% of an 8 hour day. Based up

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Chefchaouni Moussaoui, Sélim, Rafael Cisneros-Limón, Hiroshi Kaminaga, et al. "Spatial Calibration of Humanoid Robot Flexible Tactile Skin for Human–Robot Interaction." Sensors 23, no. 9 (2023): 4569. http://dx.doi.org/10.3390/s23094569.

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Recent developments in robotics have enabled humanoid robots to be used in tasks where they have to physically interact with humans, including robot-supported caregiving. This interaction—referred to as physical human–robot interaction (pHRI)—requires physical contact between the robot and the human body; one way to improve this is to use efficient sensing methods for the physical contact. In this paper, we use a flexible tactile sensing array and integrate it as a tactile skin for the humanoid robot HRP-4C. As the sensor can take any shape due to its flexible property, a particular focus is g

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Masuda, Ryosuke. "Sensing System of Robot." Journal of Robotics and Mechatronics 1, no. 3 (1989): 161–67. http://dx.doi.org/10.20965/jrm.1989.p0161.

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Kaneko, Makoto. "Robot Hands and Sensing." Journal of Robotics and Mechatronics 5, no. 1 (1993): 1. http://dx.doi.org/10.20965/jrm.1993.p0001.

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It is not an overstatement that the history of robot hands is equal to that of 40-year-old manipulators. Initial hands were based on the simple ON/OFF switching system, with pneumatic or hydraulic power used as a source. The hands could realize their primary purpose of firmly grasping an object, however, it was impossible to achieve the dexterous manipulating motion which was another important function. Since the latter half of 1970's, the dexterous functions have been in demand for robot hands such as the functions of an inspection robot for the power plant. This caused research institutes in

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Masuda, Ryosuke. "Sensing System for Robot." IEEJ Transactions on Electronics, Information and Systems 107, no. 5 (1987): 430–35. http://dx.doi.org/10.1541/ieejeiss1987.107.5_430.

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Bhattacherjee, Saptak, Sananda Chatterjee, and Subhasis Bhaumik. "Carbon nanotube/glycerol embedded low cost flexible sensor for large deflection sensing of continuum manipulators." Measurement Science and Technology 33, no. 4 (2022): 045107. http://dx.doi.org/10.1088/1361-6501/ac46f0.

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Abstract Large deflection sensing is highly crucial for proper positioning and control of continuum robots during robot assisted minimally invasive surgery (MIS). Existing techniques suffer from eletromagnetic noise susceptibility, harmful radiation exposure, limited range, bio-incompatibility and necessity of expensive instruments. In the present study, we propose a multi-walled carbon nanotubes/polyglycerol based low cost, flexible and biocompatible sensor which could allow safer, faster and accurate angular deflection measurement of continuum robots for biomedical applications. Experimental

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Lary, David J., David Schaefer, John Waczak, et al. "Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning." Sensors 21, no. 6 (2021): 2240. http://dx.doi.org/10.3390/s21062240.

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This paper describes and demonstrates an autonomous robotic team that can rapidly learn the characteristics of environments that it has never seen before. The flexible paradigm is easily scalable to multi-robot, multi-sensor autonomous teams, and it is relevant to satellite calibration/validation and the creation of new remote sensing data products. A case study is described for the rapid characterisation of the aquatic environment, over a period of just a few minutes we acquired thousands of training data points. This training data allowed for our machine learning algorithms to rapidly learn

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