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Miao Li
Miao Li
Associate Professor, Wuhan University
Bestätigte E-Mail-Adresse bei whu.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Learning of grasp adaptation through experience and tactile sensing
M Li, Y Bekiroglu, D Kragic, A Billard
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
1512014
Dexterous grasping under shape uncertainty
M Li, K Hang, D Kragic, A Billard
Robotics and Autonomous Systems, 2016
1342016
Learning Object-level Impedance Control for Robust Grasping and Dexterous Manipulation
M Li, H Yin, K Tahara, A Billard
Robotics and Automation (ICRA), 2014 IEEE International Conference on, 2014
1292014
Hierarchical Fingertip Space: A Unified Framework for Grasp Planning and In-Hand Grasp Adaptation
K Hang, M Li, JA Stork, Y Bekiroglu, FT Pokorny, A Billard, D Kragic
IEEE Transactions on Robotics 32 (4), 960-972, 2016
1252016
Haptics electromyography perception and learning enhanced intelligence for teleoperated robot
C Yang, J Luo, C Liu, M Li, SL Dai
IEEE Transactions on Automation Science and Engineering 16 (4), 1512-1521, 2018
1232018
Bimanual compliant tactile exploration for grasping unknown objects
N Sommer, M Li, A Billard
2014 IEEE International Conference on Robotics and Automation (ICRA), 6400-6407, 2014
642014
A Dual Quaternion-Based Approach for Coordinate Calibration of Dual Robots in Collaborative Motion
Z Fu, J Pan, E Spyrakos-Papastavridis, X Chen, M Li
IEEE Robotics and Automation Letters 5 (3), 4086-4093, 2020
612020
Robot Cooking With Stir-Fry: Bimanual Non-Prehensile Manipulation of Semi-Fluid Objects
J Liu, Y Chen, Z Dong, S Wang, S Calinon, M Li, F Chen
IEEE Robotics and Automation Letters 7 (2), 5159-5166, 2022
572022
Learning a real time grasping strategy
B Huang, S El-Khoury, M Li, JJ Bryson, A Billard
Robotics and Automation (ICRA), 2013 IEEE International Conference on, 593-600, 2013
542013
Learning Force‐Relevant Skills from Human Demonstration
X Gao, J Ling, X Xiao, M Li
Complexity 2019 (1), 5262859, 2019
502019
Robotic grasp detection based on image processing and random forest
J Zhang, M Li, Y Feng, C Yang
Multimedia Tools and Applications 79, 2427-2446, 2020
462020
4d iriom: 4d imaging radar inertial odometry and mapping
Y Zhuang, B Wang, J Huai, M Li
IEEE Robotics and Automation Letters 8 (6), 3246-3253, 2023
442023
A modular approach to learning manipulation strategies from human demonstration
H Bidan, L Miao, LDS Ravin, JB Joanna, B Aude
Autonomous Robots 40 (5), 903-927, 2016
352016
Bridging the gap: One shot grasp synthesis approach
S El Khoury, M Li, A Billard
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012
342012
Collaborative robots in the workplace [from the guest editors]
AM Zanchettin, E Croft, H Ding, M Li
IEEE Robotics & Automation Magazine 25 (2), 16-17, 2018
332018
CURER: A lightweight cable-driven compliant upper limb rehabilitation exoskeleton robot
W Qian, J Liao, L Lu, L Ai, M Li, X Xiao, Z Guo
IEEE/ASME Transactions on Mechatronics 28 (3), 1730-1741, 2022
302022
On the generation of a variety of grasps
S El-Khoury, M Li, A Billard
Robotics and Autonomous Systems 61 (12), 1335-1349, 2013
292013
Motion Mappings for Continuous Bilateral Teleoperation
X Gao, J Silvério, E Pignat, S Calinon, M Li, X Xiao
IEEE Robotics and Automation Letters, 2021
282021
Learning robotic ultrasound scanning skills via human demonstrations and guided explorations
X Deng, Y Chen, F Chen, M Li
2021 IEEE International Conference on Robotics and Biomimetics (ROBIO), 372-378, 2021
252021
Robot learning system based on dynamic movement primitives and neural network
Y Zhang, M Li, C Yang
Neurocomputing 451, 205-214, 2021
242021
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