Academic literature on the topic 'Vision-based Force Sensing'
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Journal articles on the topic "Vision-based Force Sensing"
Chawda, Vinay, and Marcia K. O'Malley. "Vision-based force sensing for nanomanipulation." IEEE/ASME Transactions on Mechatronics 16, no. 6 (December 2011): 1177–83. http://dx.doi.org/10.1109/tmech.2010.2093535.
Full textReddy, Annem Narayana, Nandan Maheshwari, Deepak Kumar Sahu, and G. K. Ananthasuresh. "Miniature Compliant Grippers With Vision-Based Force Sensing." IEEE Transactions on Robotics 26, no. 5 (October 2010): 867–77. http://dx.doi.org/10.1109/tro.2010.2056210.
Full textAdam, Georges, and David J. Cappelleri. "Towards a real-time 3D vision-based micro-force sensing probe." Journal of Micro-Bio Robotics 16, no. 1 (January 11, 2020): 23–32. http://dx.doi.org/10.1007/s12213-019-00122-2.
Full textYe, X. W., C. Z. Dong, and T. Liu. "Force monitoring of steel cables using vision-based sensing technology: methodology and experimental verification." Smart Structures and Systems 18, no. 3 (September 25, 2016): 585–99. http://dx.doi.org/10.12989/sss.2016.18.3.585.
Full textHuang, Xiaoqian, Rajkumar Muthusamy, Eman Hassan, Zhenwei Niu, Lakmal Seneviratne, Dongming Gan, and Yahya Zweiri. "Neuromorphic Vision Based Contact-Level Classification in Robotic Grasping Applications." Sensors 20, no. 17 (August 21, 2020): 4724. http://dx.doi.org/10.3390/s20174724.
Full textSun, Huanbo, Katherine J. Kuchenbecker, and Georg Martius. "A soft thumb-sized vision-based sensor with accurate all-round force perception." Nature Machine Intelligence 4, no. 2 (February 2022): 135–45. http://dx.doi.org/10.1038/s42256-021-00439-3.
Full textJO, Kensei, Yasuaki KAKEHI, Kouta MINAMIZAWA, Katsunari SATO, Hideaki NII, Naoki KAWAKAMI, and Susumu Tachi. "1P1-I08 A Basic Study on Vision-Based Force Vector Sensing with Movable Input Surface." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2008 (2008): _1P1—I08_1—_1P1—I08_2. http://dx.doi.org/10.1299/jsmermd.2008._1p1-i08_1.
Full textLiu, Lijun, Xian Yi Li, and Hong Ming Gao. "The Friction Interaction Mechanism of Welding Seam Identifying Based on Force Sensing." Advanced Materials Research 291-294 (July 2011): 995–98. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.995.
Full textMin, Kyung-Won, Seok-Jung Jang, and Junhee Kim. "A Standalone Vision Sensing System for Pseudodynamic Testing of Tuned Liquid Column Dampers." Journal of Sensors 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/8152651.
Full textHuang, Shouren, Bergström Niklas, Yuji Yamakawa, Taku Senoo, and Masatoshi Ishikawa. "Robotic Contour Tracing with High-Speed Vision and Force-Torque Sensing based on Dynamic Compensation Scheme." IFAC-PapersOnLine 50, no. 1 (July 2017): 4616–22. http://dx.doi.org/10.1016/j.ifacol.2017.08.654.
Full textDissertations / Theses on the topic "Vision-based Force Sensing"
Zhang, Zhongkai. "Vision-based calibration, position control and force sensing for soft robots." Thesis, Lille 1, 2019. http://www.theses.fr/2019LIL1I001/document.
Full textThe modeling of soft robots which have, theoretically, infinite degrees of freedom, are extremely difficult especially when the robots have complex configurations. This difficulty of modeling leads to new challenges for the calibration and the control design of the robots, but also new opportunities with possible new force sensing strategies. This dissertation aims to provide new and general solutions using modeling and vision. The thesis at first presents a discrete-time kinematic model for soft robots based on the real-time Finite Element (FE) method. Then, a vision-based simultaneous calibration of sensor-robot system and actuators is investigated. Two closed-loop position controllers are designed. Besides, to deal with the problem of image feature loss, a switched control strategy is proposed by combining both the open-loop controller and the closed-loop controller. Using soft robot itself as a force sensor is available due to the deformable feature of soft structures. Two methods (marker-based and marker-free) of external force sensing for soft robots are proposed based on the fusion of vision-based measurements and FE model. Using both methods, not only the intensities but also the locations of the external forces can be estimated.As a specific application, a cable-driven continuum catheter robot through contacts is modeled based on FE method. Then, the robot is controlled by a decoupled control strategy which allows to control insertion and bending independently. Both the control inputs and the contact forces along the entire catheter can be computed by solving a quadratic programming (QP) problem with a linear complementarity constraint (QPCC)
Li, Jichun. "Tissue diagnosis probe based on stiffness measurement using vision and force sensing modalities." Thesis, King's College London (University of London), 2013. https://kclpure.kcl.ac.uk/portal/en/theses/tissue-diagnosis-probe-based-on-stiffness-measurement-using-vision-and-force-sensing-modalities(2157fcfd-4155-43c8-ab70-2d8fad7ee622).html.
Full textBook chapters on the topic "Vision-based Force Sensing"
Wei, Haibin, Manjia Su, and Yisheng Guan. "Semi-autonomous Robotic Manipulation by Tele-Operation with Master-Slave Robots and Autonomy Based on Vision and Force Sensing." In Intelligent Robotics and Applications, 36–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89095-7_4.
Full textEvangeliou, Nikolaos, Athanasios Tsoukalas, Nikolaos Giakoumidis, Steffen Holter, and Anthony Tzes. "Development of a Versatile Modular Platform for Aerial Manipulators." In Service Robotics. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94027.
Full textConference papers on the topic "Vision-based Force Sensing"
Gupta, Abhishek, Volkan Patoglu, and Marcia K. O'Malley. "Vision Based Force Sensing for Nanorobotic Manipulation." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15111.
Full textGreminger, Michael A., and Bradley J. Nelson. "Vision-based force sensing at nanonewton scales." In Intelligent Systems and Advanced Manufacturing, edited by Bradley J. Nelson and Jean-Marc Breguet. SPIE, 2001. http://dx.doi.org/10.1117/12.444147.
Full textZhang, Tao, Yang Cong, Xiaomao Li, and Yan Peng. "Robot Tactile Sensing: Vision Based Tactile Sensor for Force Perception." In 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2018. http://dx.doi.org/10.1109/cyber.2018.8688163.
Full textAdam, Georges, and David J. Cappelleri. "Design of a 3D Vision-based Micro-Force Sensing Probe." In 2019 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS). IEEE, 2019. http://dx.doi.org/10.1109/marss.2019.8860957.
Full textChang, R. J., and C. C. Shiu. "Vision-based control of SMA-actuated polymer microgripper with force sensing." In 2011 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2011. http://dx.doi.org/10.1109/icma.2011.5986304.
Full textBelharet, Karim, David Folio, and Antoine Ferreira. "Vision-based force sensing of a magnetic microrobot in a viscous flow." In 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2014. http://dx.doi.org/10.1109/icra.2014.6907133.
Full textZhang, Yanxia, and Chaojun Wang. "Research on Robot Manipulator Servo Control Based on Force and Vision Sensing." In 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2013. http://dx.doi.org/10.1109/ihmsc.2013.160.
Full textJichun Li, Hongbin Liu, K. Althoefer, and L. D. Seneviratne. "A stiffness probe based on force and vision sensing for soft tissue diagnosis." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346088.
Full textZhang, Peiyu, Wen Ying, and Seongkook Heo. "Fringer: A Finger-Worn Passive Device Enabling Computer Vision Based Force Sensing Using Moiré Fringes." In UIST '22: The 35th Annual ACM Symposium on User Interface Software and Technology. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3526114.3558706.
Full textAdam, Georges, Mazin Hakim, Luis Solorio, and David J. Cappelleri. "Stiffness Characterization and Micromanipulation for Biomedical Applications using the Vision-based Force-Sensing Magnetic Mobile Microrobot." In 2020 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS). IEEE, 2020. http://dx.doi.org/10.1109/marss49294.2020.9307874.
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