| Parameter identification for industrial robots with a fast and robust trajectory design approach J Jin, N Gans Robotics and Computer-Integrated Manufacturing 31, 21-29, 2015 | 169 | 2015 |
| Decentralized cooperative mean approach to collision avoidance for nonholonomic mobile robots J Jin, YG Kim, SG Wee, N Gans 2015 IEEE International Conference on Robotics and Automation (ICRA), 35-41, 2015 | 33 | 2015 |
| Collision-free formation and heading consensus of nonholonomic robots as a pose regulation problem J Jin, N Gans Robotics and Autonomous Systems 95, 25-36, 2017 | 28 | 2017 |
| A stable switched-system approach to obstacle avoidance for mobile robots in SE (2) J Jin, A Green, N Gans 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 25 | 2014 |
| A switched-system approach to formation control and heading consensus for multi-robot systems J Jin, JP Ramirez, SG Wee, DH Lee, YG Kim, N Gans Intelligent Service Robotics 11, 207-224, 2018 | 23 | 2018 |
| A stable switched-system approach to collision-free wheeled mobile robot navigation J Jin, YG Kim, SG Wee, DH Lee, N Gans Journal of Intelligent & Robotic Systems 86, 599-616, 2017 | 23 | 2017 |
| A Multi-view camera-projector system for object detection and robot-human feedback Shen, Jinglin and Jin, Jingfu and Gans, Nicholas Robotics and Automation (ICRA), 2013 IEEE International Conference on, 3382 …, 2013 | 19* | 2013 |
| Minimal grasper: A practical robotic grasper with robust performance for pick-and-place tasks Jin, Jingfu and Yuen, Shang Li and Lee, Young Hoon and Jun, ChangHyun and ... Industrial Electronics, IEEE Transactions on 60 (9), 3796--3805, 2013 | 19* | 2013 |
| Consensus based attractive vector approach for formation control of nonholonomic mobile robots J Jin, YG Kim, SG Wee, N Gans 2015 IEEE international conference on advanced intelligent mechatronics (AIM …, 2015 | 18 | 2015 |
| Camera relative pose estimation for visual servoing using quaternions K Fathian, J Jin, SG Wee, DH Lee, YG Kim, NR Gans Robotics and Autonomous Systems 107, 45-62, 2018 | 14 | 2018 |
| Methods and systems to compensate for vehicle calibration errors J Jin, S Al-Stouhi, H Hekmatian US Patent 10,867,409, 2020 | 12 | 2020 |
| Outdoor localization with optical navigation sensor, IMU and GPS Yun, Youngmok and Jin, Jingfu and Kim, Namhoon and Yoon, Jeongyeon and Kim ... Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012 IEEE …, 2012 | 12* | 2012 |
| Conf-net: Toward high-confidence dense 3D point-cloud with error-map prediction H Hekmatian, J Jin, S Al-Stouhi arXiv preprint arXiv:1907.10148, 2019 | 9 | 2019 |
| Development of minimal grasper: Preliminary result of a simple and flexible enveloping grasper Lee, Young Hoon and Jin, Jingfu and Nam, Changjoo and Kim, Jinhyun and Doh ... Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International …, 2009 | 9* | 2009 |
| Historical improvement optimal motion planning with model predictive trajectory optimization for on-road autonomous vehicle D Le, Z Liu, J Jin, K Zhang, B Zhang IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019 | 6 | 2019 |
| Conf-net: Predicting depth completion error-map forhigh-confidence dense 3d point-cloud H Hekmatian, S Al-Stouhi, J Jin arXiv preprint, 2019 | 5 | 2019 |
| A switched-system approach to shared robust control and obstacle avoidance for mobile robots J Jin, N Gans, YG Kim, SG Wee Dynamic Systems and Control Conference 46209, V003T48A003, 2014 | 5 | 2014 |
| A system framework for evaluating Minimal Grasper in Cartesian Grasping System Yuen, Shang Li and Jin, Jingfu and Doh, Nakju ICEIC: International Conference on Electronics, Informations and …, 2010 | 3* | 2010 |
| Method and apparatus for predicting depth completion error-map for high-confidence dense point-cloud H Hekmatian, S Al-Stouhi, J Jin US Patent 10,929,995, 2021 | 2 | 2021 |
| Methods and Systems for Measuring and Mapping Traffic Signals M Zhu, J Jin, V Djapic US Patent App. 16/872,564, 2021 | 1 | 2021 |
Nicholas GansUniversity of Texas at Arlingtonuta.edu의 이메일 확인됨
Nicholas GansUniversity of Texas at Arlingtonuta.edu의 이메일 확인됨