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Articoli di riviste sul tema "Robot vision"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

BARNES, NICK, and ZHI-QIANG LIU. "VISION GUIDED CIRCUMNAVIGATING AUTONOMOUS ROBOTS." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 06 (2000): 689–714. http://dx.doi.org/10.1142/s0218001400000489.

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We present a system for vision guided autonomous circumnavigation, allowing a mobile robot to navigate safely around objects of arbitrary pose, and avoid obstacles. The system performs model-based object recognition from an intensity image. By enabling robots to recognize and navigate with respect to particular objects, this system empowers robots to perform deterministic actions on specific objects, rather than general exploration and navigation as emphasized in much of the current literature. This paper describes a fully integrated system, and, in particular, introduces canonical-views. Furt

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Zhang, Hongxin, and Suan Lee. "Robot Bionic Vision Technologies: A Review." Applied Sciences 12, no. 16 (2022): 7970. http://dx.doi.org/10.3390/app12167970.

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The visual organ is important for animals to obtain information and understand the outside world; however, robots cannot do so without a visual system. At present, the vision technology of artificial intelligence has achieved automation and relatively simple intelligence; however, bionic vision equipment is not as dexterous and intelligent as the human eye. At present, robots can function as smartly as human beings; however, existing reviews of robot bionic vision are still limited. Robot bionic vision has been explored in view of humans and animals’ visual principles and motion characteristic

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Xing, Guansheng, and Weichuan Meng. "Design of Robot Vision Servo Control System Based on Image." Journal of Physics: Conference Series 2136, no. 1 (2021): 012049. http://dx.doi.org/10.1088/1742-6596/2136/1/012049.

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Abstract Visual servo is a closed-loop control system of robot, which takes the image information obtained by visual sensor as feedback. Generally speaking, visual servo plays an important role in robot control, which is one of the main research directions in the field of robot control and plays a decisive role in the development of intelligent robots. In order to make the robot competent for more complex tasks and work more intelligently, autonomously and reliably, it is necessary not only to improve the control system of the robot, but also to obtain more and better information about the wor

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4

Martinez-Martin, Ester, and Angel del Pobil. "Vision for Robust Robot Manipulation." Sensors 19, no. 7 (2019): 1648. http://dx.doi.org/10.3390/s19071648.

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Advances in Robotics are leading to a new generation of assistant robots working in ordinary, domestic settings. This evolution raises new challenges in the tasks to be accomplished by the robots. This is the case for object manipulation where the detect-approach-grasp loop requires a robust recovery stage, especially when the held object slides. Several proprioceptive sensors have been developed in the last decades, such as tactile sensors or contact switches, that can be used for that purpose; nevertheless, their implementation may considerably restrict the gripper’s flexibility and function

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Umeda, Kazunori. "Special Issue on Robot Vision." Journal of Robotics and Mechatronics 15, no. 3 (2003): 253. http://dx.doi.org/10.20965/jrm.2003.p0253.

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Robot vision is an essential key technology in robotics and mechatronics. The number of studies on robot vision is wide-ranging, and this topic remains a hot vital target. This special issue reviews recent advances in this exciting field, following up two special issues, Vol. 11 No. 2, and Vol. 13 No. 6, which attracted more papers than expected. This indicates the high degree of research activity in this field. I am most pleased to report that this issue presents 12 excellent papers covering robot vision, including basic algorithms based on precise optical models, pattern and gesture recognit

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YACHIDA, Masahiko. "Robot Vision." Journal of the Robotics Society of Japan 10, no. 2 (1992): 140–45. http://dx.doi.org/10.7210/jrsj.10.140.

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Haralick, Robert M. "Robot vision." Computer Vision, Graphics, and Image Processing 34, no. 1 (1986): 118–19. http://dx.doi.org/10.1016/0734-189x(86)90060-5.

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8

Forrest, A. K. "Robot vision." Physics in Technology 17, no. 1 (1986): 5–9. http://dx.doi.org/10.1088/0305-4624/17/1/301.

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Shirai, Y. "Robot vision." Robotics 2, no. 3 (1986): 175–203. http://dx.doi.org/10.1016/0167-8493(86)90028-8.

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Shirai, Y. "Robot vision." Future Generation Computer Systems 1, no. 5 (1985): 325–52. http://dx.doi.org/10.1016/0167-739x(85)90005-6.

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11

C, Abhishek. "Development of Hexapod Robot with Computer Vision." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1796–805. http://dx.doi.org/10.22214/ijraset.2021.37455.

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Abstract: Nowadays many robotic systems are developed with lot of innovation, seeking to get flexibility and efficiency of biological systems. Hexapod Robot is the best example for such robots, it is a six-legged robot whose walking movements try to imitate the movements of the insects, it has two sets of three legs alternatively which is used to walk, this will provide stability, flexibility and mobility to travel on irregular surfaces. With these attributes the hexapod robots can be used to explore irregular surfaces, inhospitable places, or places which are difficult for humans to access. T

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12

Yang, Tianwu, Changjiu Zhou, and Mohan Rajesh. "A Fast Vision System for Soccer Robot." Applied Bionics and Biomechanics 9, no. 4 (2012): 399–407. http://dx.doi.org/10.1155/2012/480718.

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This paper proposes a fast colour-based object recognition and localization for soccer robots. The traditional HSL colour model is modified for better colour segmentation and edge detection in a colour coded environment. The object recognition is based on only the edge pixels to speed up the computation. The edge pixels are detected by intelligently scanning a small part of whole image pixels which is distributed over the image. A fast method for line and circle centre detection is also discussed. For object localization, 26 key points are defined on the soccer field. While two or more key poi

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Laxmikant Mangate. "Long Range Spy Robot With Vision." Journal of Electrical Systems 20, no. 11s (2024): 761–66. https://doi.org/10.52783/jes.7274.

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The main purpose of this work is to re-examine the battlefields and data from enemy-line areas. This robot has a metal screen and night vision camera to detect and view bombs and people in limited areas, as well as link data to object collectors. It allows and saves the presence of heroes and groups of people. An old robot office defense will help people and save our lives. Know enemy data before enemies complete. A key benefit of these state-of-the-art robots is the vision camera and metal detector. The vision camera snaps a picture or a recording and sends the data to the recipient. The meta

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14

Tang, Ran, Jun Lu, Lei Liang, Jiakai Peng, Min Zhao, and Wei Zhang. "A Fast Automatic Charging Method for Robots Based on Optic Position and Navigation." Journal of Physics: Conference Series 2405, no. 1 (2022): 012029. http://dx.doi.org/10.1088/1742-6596/2405/1/012029.

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Abstract Automatic charging is one of the important functions of a robot. Traditional automatic charging is generally based on multiple sensors working with each other. With the development of vision technology, the application of robots’ first vision and third vision is becoming more and more widespread. In this paper, an automatic robot charging system based on optical position and navigation is presented based on third vision. The system design is simplified by positioning the robot and the charging stand based on the optic. After the experimental test, it shows that the robot and the charg

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Yan, Hui, Xue Bo Zhang, Yu Wang, and Wei Jie Han. "Research on the Vision Processing of Space Robot's Tracking Camera." Advanced Materials Research 748 (August 2013): 713–17. http://dx.doi.org/10.4028/www.scientific.net/amr.748.713.

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The tracking camera is very important to the whole test tasks of space robot. Aiming at the vision processing problems of space robots tracking camera, a new method of vision processing LabVIEW+DLL is present in this article. Based on the method, a set of vision processing system of space robots tracking camera is researched and developed. This system can better meet the index requirements of space robots vision processing and precisely measure the position and posture data from the target star relative to space robots body coordinate system in the process of the ground air-float test for the

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Ehrenman, Gayle. "Eyes on the Line." Mechanical Engineering 127, no. 08 (2005): 25–27. http://dx.doi.org/10.1115/1.2005-aug-2.

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This article discusses vision-enabled robots that are helping factories to keep the production lines rolling, even when the parts are out of place. The automotive industry was one of the earliest to adopt industrial robots, and continues to be one of its biggest users, but now industrial robots are turning up in more unusual factory settings, including pharmaceutical production and packaging, consumer electronics assembly, machine tooling, and food packaging. No current market research is available that breaks down vision-enabled versus blind robot usage. However, all the major industrial robo

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Frese, Udo, and Heiko Hirschmüller. "Special issue on robot vision: what is robot vision?" Journal of Real-Time Image Processing 10, no. 4 (2015): 597–98. http://dx.doi.org/10.1007/s11554-015-0541-3.

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18

A. Peiris, Himashi, Rajitha G. Ranasinghe, and Tharindu D. Peiris. "Alternative Platform for Vision based Robot Navigation." International Journal of Engineering & Technology 7, no. 4.40 (2018): 26–30. http://dx.doi.org/10.14419/ijet.v7i4.40.24029.

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Robots are closer than ever to leap from the defined world navigation to the undefined world navigation. For that it is crucial to have flexible and alternative platforms to enhance mobile self-made robots to the next level. In this project a vision based navigation robot is developed using Microsoft Windows based software as an alternative to most common Linux based Robot Operating System (ROS). Currently almost all self-made robots with advanced functionalities use the ROS. But what lacks in Linux based system is flexibility for beginners. Developing a mobile robot based on Windows platform

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19

Baasandorj, Bayanjargal, Aamir Reyaz, Batmunkh Battulga, Deok Jin Lee, and Kil To Chong. "Formation of Multiple-Robots Using Vision Based Approach." Applied Mechanics and Materials 419 (October 2013): 768–73. http://dx.doi.org/10.4028/www.scientific.net/amm.419.768.

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Multi-robots system has grown enormously with a large variety of topics being addressed. It is an important research area within the robotics and artificial intelligence. By using the vision based approach this paper deals with the formation of multiple-robots. Three NXT robots were used in the experiment and all the three robots work together as one virtual mobile robot. In addition to these things we also used TCP/IP socket, ArToolKit, NXT robot, Bluetooth communication device. And for programming C++ was used. Results achieved from the experiment were highly successful.

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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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21

Park, Jaehong, Wonsang Hwang, Hyunil Kwon, Kwangsoo Kim, and Dong-il “Dan” Cho. "A novel line of sight control system for a robot vision tracking system, using vision feedback and motion-disturbance feedforward compensation." Robotica 31, no. 1 (2012): 99–112. http://dx.doi.org/10.1017/s0263574712000124.

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SUMMARYThis paper presents a novel line of sight control system for a robot vision tracking system, which uses a position feedforward controller to preposition a camera, and a vision feedback controller to compensate for the positioning error. Continuous target tracking is an important function for service robots, surveillance robots, and cooperating robot systems. However, it is difficult to track a specific target using only vision information, while a robot is in motion. This is especially true when a robot is moving fast or rotating fast. The proposed system controls the camera line of sig

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Monta, Mitsuji, Naoshi Kondo, Seiichi Arima, and Kazuhiko Namba. "Robotic Vision for Bioproduction Systems." Journal of Robotics and Mechatronics 15, no. 3 (2003): 341–48. http://dx.doi.org/10.20965/jrm.2003.p0341.

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The vision system is one of the most important external sensors for an agricultural robot because the robot has to find its target among various objects in complicated background. Optical and morphological properties, therefore, should be investigated first to recognize the target object properly, when a visual sensor for agricultural robot is developed. A TV camera is widely used as a vision sensor for agricultural robot. Target image can be easily obtained by using color component images from TV camera, when the target color is different from the colors of the other objects and its backgroun

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Lin, Ssu Ting, Jun Hu, Chia Hung Shih, Chiou Jye Huang, and Ping Huan Kuo. "The Development of Supervised Motion Learning and Vision System for Humanoid Robot." Applied Mechanics and Materials 886 (January 2019): 188–93. http://dx.doi.org/10.4028/www.scientific.net/amm.886.188.

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With the development of the concept of Industry 4.0, research relating to robots is being paid more and more attention, among which the humanoid robot is a very important research topic. The humanoid robot is a robot with a bipedal mechanism. Due to the physical mechanism, humanoid robots can maneuver more easily in complex terrains, such as going up and down the stairs. However, humanoid robots often fall from imbalance. Whether or not the robot can stand up on its own after a fall is a key research issue. However, the often used method of hand tuning to allow robots to stand on its own is ve

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Jiménez Moreno, Robinson, Oscar Aviles, and Ruben Darío Hernández Beleño. "Humanoid Robot Cooperative System by Machine Vision." International Journal of Online Engineering (iJOE) 13, no. 12 (2017): 162. http://dx.doi.org/10.3991/ijoe.v13i12.7594.

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This article presents a supervised control position system, based on image processing and oriented to the cooperative work between two humanoid robots that work autonomously. The first robot picks up an object, carry it to the second robot and after that the same second robot places it in an endpoint, this is achieved through doing movements in straight line trajectories and turns of 180 degrees. Using for this the Microsoft Kinect , finding for each robot and the reference object its exact spatial position, through the color space conversion and filtering, derived from the information of the

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25

MASRIL, MUHAMMAD ABRAR, and DEOSA PUTRA CANIAGO. "Optimasi Teknologi Computer Vision pada Robot Industri Sebagai Pemindah Objek Berdasarkan Warna." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 11, no. 1 (2023): 46. http://dx.doi.org/10.26760/elkomika.v11i1.46.

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ABSTRAKComputer vision merupakan teknologi yang dapat mendeteksi objek yang ada disekitarnya pada penelitian ini membahas optimasi teknologi computer vison pada robot sebagai pemindah objek berdasarkan warna. Sistem pada robot terdiri dari pengenalan bola berwarna dan memindahkan bola berwarna sesuai dengan warna yang dideteksi. Teknologi computer vision pada pixy 2 camera dapat mendeteksi objek berwarna menggunakan metode deteksi real-time dengan hasil optimasi yang tinggi yaitu 0,2 detik ketika mendeteksi objek berwarna. Pengujian pengenalan objek berwarna dilakukan sebanyak tiga kali pada s

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Rios-Campos, Carlos, Gonzalo Orozco Vilema, Cinthia Margoth Robles Simbaña, et al. "Robotics and artificial intelligence." South Florida Journal of Development 5, no. 12 (2024): e4889. https://doi.org/10.46932/sfjdv5n12-090.

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The general objective of the research was to determine the advances related to the robotics and artificial intelligence. The specific objectives of the research are to determine the countries and organizations that successfully manufacture robots, identify the characteristics of the most representative robots and the software used in their design and operation. Methodology, in this research, 61 documents have been selected, carried out in the period 2018 - 2024; including: scientific articles, review articles and information from websites of recognized organizations. Results, the software used

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Ravankar, Abhijeet, Ankit Ravankar, Michiko Watanabe, and Yohei Hoshino. "An Efficient Algorithm for Cleaning Robots Using Vision Sensors." Proceedings 42, no. 1 (2019): 45. http://dx.doi.org/10.3390/ecsa-6-06578.

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In recent years, cleaning robots like Roomba have gained popularity. These cleaning robots have limited battery power, and therefore, efficient cleaning is important. Efforts are being undertaken to improve the efficiency of cleaning robots. Most of the previous works have used on-robot cameras, developed dirt detection sensors which are mounted on the cleaning robot, or built a map of the environment to clean periodically. However, a critical limitation of all the previous works is that robots cannot know if the floor is clean or not unless they actually visit that place. Hence, timely inform

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Fujita, Toyomi, Takayuki Tanaka, Satoru Takahashi, Hidenori Takauji, and Shun’ichi Kaneko. "Special Issue on Vision and Motion Control." Journal of Robotics and Mechatronics 27, no. 2 (2015): 121. http://dx.doi.org/10.20965/jrm.2015.p0121.

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Robot vision is an important robotics and mechatronics technology for realizing intelligent robot systems that work in the real world. Recent improvements in computer processing are enabling environment to be recognized and robot to be controlled based on dynamic high-speed, highly accurate image information. In industrial application, target objects are detected much more robustly and reliably through high-speed processing. In intelligent systems applications, security systems that detect human beings have recently been applied positively in computer vision. Another attractive application is

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Bao, Chenxi, Yuanfan Hu, and Zhuoqi Yu. "Current study on multi-robot collaborative vision SLAM." Applied and Computational Engineering 35, no. 1 (2024): 80–88. http://dx.doi.org/10.54254/2755-2721/35/20230367.

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Simultaneous Localization and Mapping (SLAM) stands as a vital technology for automatic control of robots. The significance of vision-based multi-robot collaborative SLAM technology is noteworthy in this domain, because visual SLAM uses cameras as the main sensor, which offers the benefits of easy access to environmental information and convenient installation. And the multi-robot system has the advantages of high efficiency, high fault tolerance, and high precision, so the multi-robot system can work in a complex environment and ensure its mapping efficiency, these may be a challenge for a si

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Wahrini, Retyana. "Development of Color-Based Object Follower Robot Using Pixy 2 Camera and Arduino to Support Robotics Practice Learning." Jurnal Edukasi Elektro 7, no. 2 (2023): 161–68. http://dx.doi.org/10.21831/jee.v7i2.64413.

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The purpose of this study is to find out how robot vision works and the level of media feasibility in the robotic practice course and student responses in the Mechatronics Vocational Education study program. This research is a type of RD research with a 4D development model (Define, Design, Development, and Desiminate). The result of how the vision robot works is where the robot follows objects based on color using the Pixy 2 camera that has been programmed in the PixyMoon application where the way this robot works is to follow the more dominant object. The results of the feasibility level of

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Idesawa, Masanori, Yasushi Mae, and Junji Oaki. "Special Issue on Robot Vision - Vision for Action -." Journal of Robotics and Mechatronics 21, no. 6 (2009): 671. http://dx.doi.org/10.20965/jrm.2009.p0671.

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Robot vision is a key technology in robotics and mechatronics for realizing intelligent robot systems that work in the real world. The fact that robot vision algorithms required much time and effort to apply in real-world applications has delayed their dissemination until new forms made possible by recent rapid improvements in computer speed. Now the day is coming when robot vision may surpass human vision in many applications. This special issue presents 13 papers on the latest robot vision achievements and their applications. The first two propose ways of measuring and modeling 3D objects in

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Wang, Yi, Fengrui Qu, Xijun Wang, et al. "Research on vision control methods based on multi-sensor fusion." Journal of Physics: Conference Series 2708, no. 1 (2024): 012011. http://dx.doi.org/10.1088/1742-6596/2708/1/012011.

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Abstract This paper focuses on the application scenarios of electric power live line working robots, addressing tasks such as live wire stripping and live wire connection/disconnection. It utilizes Mixed Reality (MR) technology for rapid environment modeling and visual signal acquisition. Through the research on robot contact force sensing, real-time force feedback, and obstacle avoidance through the fusion of robot motion paths and environmental data, it establishes a novel electric power live line working robot system centered around dexterous dual arms at the operation end, force feedback t

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HIROTA, Kaoru. "Fuzzy robot vision." Journal of the Robotics Society of Japan 6, no. 6 (1988): 557–62. http://dx.doi.org/10.7210/jrsj.6.6_557.

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ITO, Minoru. "Robot vision modeling." Journal of the Robotics Society of Japan 7, no. 2 (1989): 215–20. http://dx.doi.org/10.7210/jrsj.7.215.

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Suzuki, Mototaka, and Dario Floreano. "Enactive Robot Vision." Adaptive Behavior 16, no. 2-3 (2008): 122–28. http://dx.doi.org/10.1177/1059712308089183.

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Menegatti, Emanuele, and Tomas Pajdla. "Omnidirectional robot vision." Robotics and Autonomous Systems 58, no. 6 (2010): 745–46. http://dx.doi.org/10.1016/j.robot.2010.02.006.

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Albustanji, Rand N., Shorouq Elmanaseer, and Ahmad A. A. Alkhatib. "Robotics: Five Senses plus One—An Overview." Robotics 12, no. 3 (2023): 68. http://dx.doi.org/10.3390/robotics12030068.

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Robots can be equipped with a range of senses to allow them to perceive and interact with the world in a more natural and intuitive way. These senses can include vision, hearing, touch, smell, and taste. Vision allows the robot to see and recognize objects and navigate its environment. Hearing enables the robot to recognize sounds and respond to vocal commands. Touch allows the robot to perceive information about the texture, shape, and temperature of objects through the sense of touch. Smell enables the robot to recognize and classify different odors. Taste enables the robot to identify the c

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Kühnlenz, Kolja, and Martin Buss. "Multi-Focal Vision and Gaze Control Improve Navigation Performance." International Journal of Advanced Robotic Systems 9, no. 1 (2012): 25. http://dx.doi.org/10.5772/50920.

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Multi-focal vision systems comprise cameras with various fields of view and measurement accuracies. This article presents a multi-focal approach to localization and mapping of mobile robots with active vision. An implementation of the novel concept is done considering a humanoid robot navigation scenario where the robot is visually guided through a structured environment with several landmarks. Various embodiments of multi-focal vision systems are investigated and the impact on navigation performance is evaluated in comparison to a conventional mono-focal stereo set-up. The comparative studies

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Kim, Bong Keun, and Yasushi Sumi. "Vision-Based Safety-Related Sensors in Low Visibility by Fog." Sensors 20, no. 10 (2020): 2812. http://dx.doi.org/10.3390/s20102812.

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Mobile service robots are expanding their use to outdoor areas affected by various weather conditions, but the outdoor environment directly affects the functional safety of robots implemented by vision-based safety-related sensors (SRSs). Therefore, this paper aims to set the fog as the environmental condition of the robot and to understand the relationship between the quantified value of the environmental conditions and the functional safety performance of the robot. To this end, the safety functions of the robot built using SRS and the requirements for the outdoor environment affecting them

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Boopalan, S., G. Narendra Prasad, C. Swaraj Paul, Kumar Narayanan, and R. Anandan. "Fire fighting robot with vision camera and gas sensors." International Journal of Engineering & Technology 7, no. 2.21 (2018): 348. http://dx.doi.org/10.14419/ijet.v7i2.21.12404.

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Yearly there are 150+ deaths are occurring due to fire fighting operations. Most of the deaths are due to presence of poisonous gases being present in the fire fighting areas. If we able to inform fire fighter worker about the presence of gases and hazardous situation, we can able to save their lives. In now-a-days robots play a vital part in industry and normal life of human beings , robots are the assemble of different parts or things which are made by human in order to complete any work with more accuracy. “Fire Fighting Robot with gas sensors”. The design is costless and will do lot of wor

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Floreano, Dario, Mototaka Suzuki, and Claudio Mattiussi. "Active Vision and Receptive Field Development in Evolutionary Robots." Evolutionary Computation 13, no. 4 (2005): 527–44. http://dx.doi.org/10.1162/106365605774666912.

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In this paper, we describe the artificial evolution of adaptive neural controllers for an outdoor mobile robot equipped with a mobile camera. The robot can dynamically select the gazing direction by moving the body and/or the camera. The neural control system, which maps visual information to motor commands, is evolved online by means of a genetic algorithm, but the synaptic connections (receptive fields) from visual photoreceptors to internal neurons can also be modified by Hebbian plasticity while the robot moves in the environment. We show that robots evolved in physics-based simulations wi

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Yu, Hui Jun, Cai Biao Chen, Wan Wu, and Zhi Wei Zhou. "Research of Application on Robot Vision with SQI Algorithms Based on Retinex." Applied Mechanics and Materials 675-677 (October 2014): 1358–62. http://dx.doi.org/10.4028/www.scientific.net/amm.675-677.1358.

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Troubleshooting and safety monitoring in the underground mine by manual operation often have the existence of security risks, so the trend of replacing manual operation by robots increases. In robot vision navigation, image enhancement in the automatic target recognition is the most critical stage of the pretreatment when extracting the image feature and matching. As the contour enhancement effect of multiscale Retinex algorithm is very good, which plays a key role in the robot visual scene image. When underground mine mobile robot identify path in machine vision navigation, this paper propose

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Bingol, Mustafa Can, and Omur Aydogmus. "Practical application of a safe human-robot interaction software." Industrial Robot: the international journal of robotics research and application 47, no. 3 (2020): 359–68. http://dx.doi.org/10.1108/ir-09-2019-0180.

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Purpose Because of the increased use of robots in the industry, it has become inevitable for humans and robots to be able to work together. Therefore, human security has become the primary noncompromising factor of joint human and robot operations. For this reason, the purpose of this study was to develop a safe human-robot interaction software based on vision and touch. Design/methodology/approach The software consists of three modules. Firstly, the vision module has two tasks: to determine whether there is a human presence and to measure the distance between the robot and the human within th

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Wang, Yingxu. "On Theoretical Foundations of Human and Robot Vision." Journal of Physics: Conference Series 2278, no. 1 (2022): 012001. http://dx.doi.org/10.1088/1742-6596/2278/1/012001.

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Abstract A set of cognitive, neurological, and mathematical theories for human and robot vision has been recognized that encompasses David Hubel’s hypercolumn vision theory (The Nobel Prize in Physiology or Medicine 1981 [1]) and Dennis Gabor’s wavelet filter theory (The Nobel Prize in Physics 1971 [2]). This keynote lecture presents a theoretical framework of the Cognitive Vision Theory (CVT) [3-6] and its neurological and mathematical foundations. A set of Intelligent Mathematics (IM) [7-13] and formal vision theories developed in my laboratory is introduced encompassing Image Frame Algebra

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Li, Zhaolu, Ning Xu, Xiaoli Zhang, Xiafu Peng, and Yumin Song. "Motion Control Method of Bionic Robot Dog Based on Vision and Navigation Information." Applied Sciences 13, no. 6 (2023): 3664. http://dx.doi.org/10.3390/app13063664.

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With the progress and development of AI technology and industrial automation technology, AI robot dogs are widely used in engineering practice to replace human beings in high-precision and tedious industrial operations. Bionic robots easily produce control errors due to the influence of spatial disturbance factors in the process of pose determination. It is necessary to calibrate robots accurately to improve the positioning control accuracy of bionic robots. Therefore, a robust control algorithm for bionic robots based on binocular vision navigation is proposed. An optical CCD binocular vision

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HASHIMOTO, Manabu. "Robot Vision for Natural Robot Motion." Journal of the Japan Society for Precision Engineering 87, no. 1 (2021): 30–33. http://dx.doi.org/10.2493/jjspe.87.30.

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Rioux, Antoine, Claudia Esteves, Jean-Bernard Hayet, and Wael Suleiman. "Cooperative Vision-Based Object Transportation by Two Humanoid Robots in a Cluttered Environment." International Journal of Humanoid Robotics 14, no. 03 (2017): 1750018. http://dx.doi.org/10.1142/s0219843617500189.

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Although in recent years, there have been quite a few studies aimed at the navigation of robots in cluttered environments, few of these have addressed the problem of robots navigating while moving a large or heavy object. Such a functionality is especially useful when transporting objects of different shapes and weights without having to modify the robot hardware. In this work, we tackle the problem of making two humanoid robots navigate in a cluttered environment while transporting a very large object that simply could not be moved by a single robot. We present a complete navigation scheme, f

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Liu, Zhanming, Mingyuan Xu, and Yuanpei Zhang. "Perspective Of Vision, Motion Planning, And Motion Control for Quadruped Robots." Highlights in Science, Engineering and Technology 38 (March 16, 2023): 902–16. http://dx.doi.org/10.54097/hset.v38i.5976.

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In recent years, robot technology has made great progress, especially quadruped robots. Quadruped robot is a bionic robot that imitates the movement of quadruped animals. For quadruped machines in complex environments, our group first investigate the control of quadruped robots in complex situations. It is found that the current quadruped robots can achieve better motion control under various complex conditions, but there are still limitations. Its structure includes the trunk and four legs located in front and behind the trunk. Each leg has the same structure, including the thigh, calf, and f

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Zeng, Rui, Yuhui Wen, Wang Zhao, and Yong-Jin Liu. "View planning in robot active vision: A survey of systems, algorithms, and applications." Computational Visual Media 6, no. 3 (2020): 225–45. http://dx.doi.org/10.1007/s41095-020-0179-3.

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Abstract Rapid development of artificial intelligence motivates researchers to expand the capabilities of intelligent and autonomous robots. In many robotic applications, robots are required to make planning decisions based on perceptual information to achieve diverse goals in an efficient and effective way. The planning problem has been investigated in active robot vision, in which a robot analyzes its environment and its own state in order to move sensors to obtain more useful information under certain constraints. View planning, which aims to find the best view sequence for a sensor, is one

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Umeda, Takayuki, Kosuke Sekiyama, and Toshio Fukuda. "Vision-Based Object Tracking by Multi-Robots." Journal of Robotics and Mechatronics 24, no. 3 (2012): 531–39. http://dx.doi.org/10.20965/jrm.2012.p0531.

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Abstract (sommario):

This paper proposes a cooperative visual object tracking by a multi-robot system, where robust cognitive sharing is essential between robots. Robots identify the object of interest by using various types of information in the image recognition field. However, the most effective type of information for recognizing an object accurately is the difference between the object and its surrounding environment. Therefore we propose two evaluation criteria, called ambiguity and stationarity, in order to select the best information. Although robots attempt to select the best available feature for recogni

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