{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T11:14:39Z","timestamp":1772018079260,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T00:00:00Z","timestamp":1639440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002081","name":"Irish Research Council","doi-asserted-by":"publisher","award":["EPSPG\/2016\/151"],"award-info":[{"award-number":["EPSPG\/2016\/151"]}],"id":[{"id":"10.13039\/501100002081","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A robot\u2019s ability to grasp moving objects depends on the availability of real-time sensor data in both the far-field and near-field of the gripper. This research investigates the potential contribution of tactile sensing to a task of grasping an object in motion. It was hypothesised that combining tactile sensor data with a reactive grasping strategy could improve its robustness to prediction errors, leading to a better, more adaptive performance. Using a two-finger gripper, we evaluated the performance of two algorithms to grasp a ball rolling on a horizontal plane at a range of speeds and gripper contact points. The first approach involved an adaptive grasping strategy initiated by tactile sensors in the fingers. The second strategy initiated the grasp based on a prediction of the position of the object relative to the gripper, and provided a proxy to a vision-based object tracking system. It was found that the integration of tactile sensor feedback resulted in a higher observed grasp robustness, especially when the gripper\u2013ball contact point was displaced from the centre of the gripper. These findings demonstrate the performance gains that can be attained by incorporating near-field sensor data into the grasp strategy and motivate further research on how this strategy might be expanded for use in different manipulator designs and in more complex grasp scenarios.<\/jats:p>","DOI":"10.3390\/s21248339","type":"journal-article","created":{"date-parts":[[2021,12,14]],"date-time":"2021-12-14T22:06:10Z","timestamp":1639519570000},"page":"8339","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Adaptive Grasping of Moving Objects through Tactile Sensing"],"prefix":"10.3390","volume":"21","author":[{"given":"Patrick","family":"Lynch","sequence":"first","affiliation":[{"name":"School of Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland"}]},{"given":"Michael F.","family":"Cullinan","sequence":"additional","affiliation":[{"name":"School of Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland"}]},{"given":"Conor","family":"McGinn","sequence":"additional","affiliation":[{"name":"School of Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"B\u00e4uml, B., Birbach, O., Wimb\u00f6ck, T., Frese, U., Dietrich, A., and Hirzinger, G. (2011, January 26\u201328). Catching flying balls with a mobile humanoid: System overview and design considerations. Proceedings of the 2011 11th IEEE-RAS International Conference on Humanoid Robots, Bled, Slovenia.","DOI":"10.1109\/Humanoids.2011.6100837"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1109\/TRO.2014.2316022","article-title":"Catching objects in flight","volume":"30","author":"Kim","year":"2014","journal-title":"IEEE Trans. Robot."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"B\u00e4uml, B., Wimb\u00f6ck, T., and Hirzinger, G. (2010, January 18). Kinematically optimal catching a flying ball with a hand-arm-system. Proceedings of the IEEE\/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010\u2014Conference Proceedings, Taipei, Taiwan.","DOI":"10.1109\/IROS.2010.5651175"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Wei, H., and Wang, L. (2018). A Visual Cortex-Inspired Imaging-Sensor Architecture and Its Application in Real-Time Processing. Sensors, 18.","DOI":"10.3390\/s18072116"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1126\/science.aat8414","article-title":"Trends and challenges in robot manipulation","volume":"364","author":"Billard","year":"2019","journal-title":"Science"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Kober, J., Glisson, M., and Mistry, M. (2012, January 29). Playing catch and juggling with a humanoid robot. Proceedings of the IEEE-RAS International Conference on Humanoid Robots, Osaka, Japan.","DOI":"10.1109\/HUMANOIDS.2012.6651623"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1109\/LRA.2017.2734965","article-title":"Covering a Robot Fingertip With uSkin: A Soft Electronic Skin With Distributed 3-Axis Force Sensitive Elements for Robot Hands","volume":"3","author":"Tomo","year":"2018","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Xu, D., Loeb, G.E., and Fishel, J.A. (2013, January 6\u201310). Tactile identification of objects using Bayesian exploration. Proceedings of the 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany.","DOI":"10.1109\/ICRA.2013.6631001"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Bauza, M., Canal, O., and Rodriguez, A. (2019, January 20\u201324). Tactile Mapping and Localization from High-Resolution Tactile Imprints. Proceedings of the 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada.","DOI":"10.1109\/ICRA.2019.8794298"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1016\/j.robot.2013.11.011","article-title":"Autonomous tactile perception: A combined improved sensing and Bayesian nonparametric approach","volume":"62","author":"Dallaire","year":"2014","journal-title":"Robot. Auton. Syst."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Gao, Y., Hendricks, L.A., Kuchenbecker, K.J., and Darrell, T. (2016, January 16\u201321). Deep learning for tactile understanding from visual and haptic data. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden.","DOI":"10.1109\/ICRA.2016.7487176"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1914","DOI":"10.1007\/s11947-015-1548-2","article-title":"Non-Destructive Assessment of Mango Firmness and Ripeness Using a Robotic Gripper","volume":"8","author":"Blanes","year":"2015","journal-title":"Food Bioprocess Technol."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Khamis, H., Xia, B., and Redmond, S.J. (June, January 30). Real-time Friction Estimation for Grip Force Control. Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi\u2019an, China.","DOI":"10.1109\/ICRA48506.2021.9561640"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Sutanto, G., Ratliff, N., Sundaralingam, B., Chebotar, Y., Su, Z., Handa, A., and Fox, D. (2019, January 20\u201324). Learning Latent Space Dynamics for Tactile Servoing. Proceedings of the 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada.","DOI":"10.1109\/ICRA.2019.8793520"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1156","DOI":"10.1109\/LRA.2017.2662071","article-title":"Exploratory Tactile Servoing With Active Touch","volume":"2","author":"Lepora","year":"2017","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_16","unstructured":"Kumar, V., Hermans, T., Fox, D., Birchfield, S., and Tremblay, J. (2019). Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies. arXiv."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2101","DOI":"10.1109\/LRA.2019.2899192","article-title":"From Pixels to Percepts: Highly Robust Edge Perception and Contour Following Using Deep Learning and an Optical Biomimetic Tactile Sensor","volume":"4","author":"Lepora","year":"2019","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1109\/TRO.2019.2921144","article-title":"Bayesian Tactile Exploration for Compliant Docking With Uncertain Shapes","volume":"35","author":"Hauser","year":"2019","journal-title":"IEEE Trans. Robot."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Funabashi, S., Gang, Y., Geier, A., Schmitz, A., and Sugano, S. (2019, January 20\u201324). Morphology-Specific Convolutional Neural Networks for Tactile Object Recognition with a Multi-Fingered Hand. Proceedings of the International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada.","DOI":"10.1109\/ICRA.2019.8793901"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Cockbum, D., Roberge, J.P., Le, T.H.L., Maslyczyk, A., and Duchaine, V. (June, January 29). Grasp stability assessment through unsupervised feature learning of tactile images. Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore.","DOI":"10.1109\/ICRA.2017.7989257"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Bekiroglu, Y., Damianou, A., Detry, R., Stork, J.A., Kragic, D., and Ek, C.H. (2016, January 16\u201321). Probabilistic consolidation of grasp experience. Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden.","DOI":"10.1109\/ICRA.2016.7487133"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.rcim.2017.03.002","article-title":"In-hand recognition and manipulation of elastic objects using a servo-tactile control strategy","volume":"48","author":"Delgado","year":"2017","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_23","unstructured":"B\u00fchler, M., Koditschek, D.E., and Kindlmann, P.J. (1990). Planning and Control of Robotic Juggling Tasks. The Fifth International Symposium on Robotics Research, MIT Press."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Luo, R.C., and Liao, C. (2017, January 24\u201326). Robotic conveyor tracking with dynamic object fetching for industrial automation. Proceedings of the 2017 IEEE 15th International Conference on Industrial Informatics (INDIN), Emden, Germany.","DOI":"10.1109\/INDIN.2017.8104800"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1109\/TRO.2016.2536749","article-title":"A Dynamical System Approach for Softly Catching a Flying Object: Theory and Experiment","volume":"32","author":"Salehian","year":"2016","journal-title":"IEEE Trans. Robot."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Carneiro, D., Silva, F., and Georgieva, P. (2018, January 25\u201327). The role of early anticipations for human\u2013robot ball catching. Proceedings of the 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Torres Vedras, Portugal.","DOI":"10.1109\/ICARSC.2018.8374153"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Kober, J., M\u00fclling, K., Kr\u00f6mer, O., Lampert, C.H., Sch\u00f6lkopf, B., and Peters, J. (2010, January 3\u20138). Movement templates for learning of hitting and batting. Proceedings of the 2010 IEEE International Conference on Robotics and Automation, Anchorage, Alaska.","DOI":"10.1109\/ROBOT.2010.5509672"},{"key":"ref_28","unstructured":"Senoo, T., Namiki, A., and Ishikawa, M. (2006, January 15\u201319). Ball control in high-speed batting motion using hybrid trajectory generator. Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006, Orlando, FL, USA."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1023\/A:1013223328496","article-title":"Robot catching: Towards engaging human-humanoid interaction","volume":"12","author":"Riley","year":"2002","journal-title":"Auton. Robot."},{"key":"ref_30","unstructured":"Escaida Navarro, S., Weiss, D., Stogl, D., Milev, D., and Hein, B. (2014, January 2\u20133). Tracking and Grasping of Known and Unknown Objects from a Conveyor Belt. Proceedings of the ISR\/Robotik 2014; 41st International Symposium on Robotics, Munchen, Germanny."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Smith, C., and Christensen, H.I. (2007, January 10). Using COTS to Construct a High Performance Robot Arm. Proceedings of the 2007 IEEE International Conference on Robotics and Automation, Roma, Italy.","DOI":"10.1109\/ROBOT.2007.364102"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Cuevas-Velasquez, H., Li, N., Tylecek, R., Saval-Calvo, M., and Fisher, R.B. (2018, January 1\u20135). Hybrid Multi-camera Visual Servoing to Moving Target. Proceedings of the 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain.","DOI":"10.1109\/IROS.2018.8593652"},{"key":"ref_33","unstructured":"Imai, Y., Namiki, A., Hashimoto, K., and Ishikawa, M. (May, January 26). Dynamic active catching using a high-speed multifingered hand and a high-speed vision system. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA\u201904), New Orleans, LA, USA."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1109\/LRA.2019.2891091","article-title":"High-Speed, Small-Deformation Catching of Soft Objects Based on Active Vision and Proximity Sensing","volume":"4","author":"Koyama","year":"2019","journal-title":"IEEE Robot. Autom. Lett."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Lynch, P., and McGinn, C. (2021, January 17\u201320). Using Tactile Sensing to Improve Performance when Grasping Moving Objects. Proceedings of the 2021 SMC Conference, IEEE Systems, Man and Cybernetics, Melbourne, Australia.","DOI":"10.1109\/SMC52423.2021.9658609"},{"key":"ref_36","unstructured":"Joergensen, J.A., Ellekilde, L.P., and Petersen, H.G. (2010, January 7\u20139). RobWorkSim\u2014An Open Simulator for Sensor based Grasping. Proceedings of the ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics), Munich, Germany."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Agboh, W.C., and Dogar, M.R. (2018, January 6\u20139). Real-Time Online Re-Planning for Grasping Under Clutter and Uncertainty. Proceedings of the 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids), Beijing, China.","DOI":"10.1109\/HUMANOIDS.2018.8625041"},{"key":"ref_38","unstructured":"Tremblay, J., To, T., Sundaralingam, B., Xiang, Y., Fox, D., and Birchfield, S. (2018). Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. arXiv."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Ledermann, C., Wirges, S., Oertel, D., Mende, M., and Woern, H. (2013, January 19\u201321). Tactile sensor on a magnetic basis using novel 3D Hall sensor - First prototypes and results. Proceedings of the INES 2013\u2014IEEE 17th International Conference on Intelligent Engineering Systems, San Jose, Costa Rica.","DOI":"10.1109\/INES.2013.6632782"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Jamone, L., Metta, G., Nori, F., and Sandini, G. (2006, January 4\u20136). James: A humanoid robot acting over an unstructured world. Proceedings of the Proceedings of the 2006 6th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS, Genova, Italy.","DOI":"10.1109\/ICHR.2006.321376"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"4226","DOI":"10.1109\/JSEN.2015.2417759","article-title":"Highly sensitive soft tactile sensors for an anthropomorphic robotic hand","volume":"15","author":"Jamone","year":"2015","journal-title":"IEEE Sens. J."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/24\/8339\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:47:22Z","timestamp":1760168842000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/24\/8339"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,14]]},"references-count":41,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["s21248339"],"URL":"https:\/\/doi.org\/10.3390\/s21248339","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,14]]}}}