| Pointnetgpd: Detecting grasp configurations from point sets H Liang, X Ma, S Li, M Görner, S Tang, B Fang, F Sun, J Zhang 2019 International Conference on Robotics and Automation (ICRA), 3629-3635, 2019 | 333 | 2019 |
| A hybrid deep architecture for robotic grasp detection D Guo, F Sun, H Liu, T Kong, B Fang, N Xi 2017 IEEE International Conference on Robotics and Automation (ICRA), 1609-1614, 2017 | 207 | 2017 |
| Survey of imitation learning for robotic manipulation B Fang, S Jia, D Guo, M Xu, S Wen, F Sun International Journal of Intelligent Robotics and Applications 3, 362-369, 2019 | 145 | 2019 |
| 3D human gesture capturing and recognition by the IMMU-based data glove B Fang, F Sun, H Liu, C Liu Neurocomputing 277, 198-207, 2018 | 117 | 2018 |
| Robotic room-level localization using multiple sets of sonar measurements H Liu, F Sun, B Fang, X Zhang IEEE Transactions on Instrumentation and Measurement 66 (1), 2-13, 2016 | 92 | 2016 |
| Touchless interactive teaching of soft robots through flexible bimodal sensory interfaces W Liu, Y Duo, J Liu, F Yuan, L Li, L Li, G Wang, B Chen, S Wang, H Yang, ... Nature communications 13 (1), 5030, 2022 | 89 | 2022 |
| Vision-based teleoperation of shadow dexterous hand using end-to-end deep neural network S Li, X Ma, H Liang, M Görner, P Ruppel, B Fang, F Sun, J Zhang 2019 International Conference on Robotics and Automation (ICRA), 416-422, 2019 | 86 | 2019 |
| Weakly paired multimodal fusion for object recognition H Liu, Y Wu, F Sun, B Fang, D Guo IEEE Transactions on Automation Science and Engineering 15 (2), 784-795, 2017 | 86 | 2017 |
| Deep reinforcement learning for robotic pushing and picking in cluttered environment Y Deng, X Guo, Y Wei, K Lu, B Fang, D Guo, H Liu, F Sun 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 78 | 2019 |
| An optimal calibration method for a MEMS inertial measurement unit B Fang, W Chou, L Ding International Journal of Advanced Robotic Systems 11 (2), 14, 2014 | 62 | 2014 |
| Cough recognition based on mel-spectrogram and convolutional neural network Q Zhou, J Shan, W Ding, C Wang, S Yuan, F Sun, H Li, B Fang Frontiers in Robotics and AI 8, 580080, 2021 | 61 | 2021 |
| Reinforcement learning from imperfect demonstrations under soft expert guidance M Jing, X Ma, W Huang, F Sun, C Yang, B Fang, H Liu Proceedings of the AAAI conference on artificial intelligence 34 (04), 5109-5116, 2020 | 60 | 2020 |
| Robotic grasping using visual and tactile sensing D Guo, F Sun, B Fang, C Yang, N Xi Information Sciences 417, 274-286, 2017 | 60 | 2017 |
| Multimode grasping soft gripper achieved by layer jamming structure and tendon-driven mechanism B Fang, F Sun, L Wu, F Liu, X Wang, H Huang, W Huang, H Liu, L Wen Soft Robotics 9 (2), 233-249, 2022 | 57 | 2022 |
| A review of smart materials for the boost of soft actuators, soft sensors, and robotics applications Y Hao, S Zhang, B Fang, F Sun, H Liu, H Li Chinese Journal of Mechanical Engineering 35 (1), 37, 2022 | 54 | 2022 |
| A soft gripper with programmable effective length, tactile and curvature sensory feedback Y Hao, Z Liu, J Liu, X Fang, B Fang, S Nie, Y Guan, F Sun, T Wang, L Wen Smart Materials and Structures 29 (3), 035006, 2020 | 53 | 2020 |
| Design and workspace analysis of a parallel ankle rehabilitation robot (PARR) L Zhang, J Li, M Dong, B Fang, Y Cui, S Zuo, K Zhang Journal of healthcare engineering 2019, 2019 | 53 | 2019 |
| Hardware technology of vision-based tactile sensor: A review S Zhang, Z Chen, Y Gao, W Wan, J Shan, H Xue, F Sun, Y Yang, B Fang IEEE Sensors Journal 22 (22), 21410-21427, 2022 | 50 | 2022 |
| Multimodal measurements fusion for surface material categorization H Liu, F Sun, B Fang, S Lu IEEE Transactions on Instrumentation and Measurement 67 (2), 246-256, 2017 | 50 | 2017 |
| Structured output-associated dictionary learning for haptic understanding H Liu, F Sun, D Guo, B Fang, Z Peng IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (7), 1564-1574, 2017 | 49 | 2017 |
Di GUOBeijing University of Posts and TelecommunicationsVerified email at mails.tsinghua.edu.cn
