81 citations · 84 across the 8 of their papers we have counts for
8 papers · 1 filter
Mixline: A Hybrid Reinforcement Learning Framework for Long-horizon Bimanual Coffee Stirring Task
Zheng Sun, Zhiqi Wang, Junjia Liu +2
Bimanual activities like coffee stirring, which require coordination of dual arms, are common in daily life and intractable to learn by robots. Adopting reinforcement learning to l…
Robot Cooking with Stir-fry: Bimanual Non-prehensile Manipulation of Semi-fluid Objects
Junjia Liu, Yiting Chen, Zhipeng Dong +4
This letter describes an approach to achieve well-known Chinese cooking art stir-fry on a bimanual robot system. Stir-fry requires a sequence of highly dynamic coordinated movement…
Learning Friction Model for Magnet-actuated Tethered Capsule Robot
Yi Wang, Yuyang Tu, Yuchen He +4
The potential diagnostic applications of magnet-actuated capsules have been greatly increased in recent years. For most of these potential applications, accurate position control o…
Learning Based Adaptive Force Control of Robotic Manipulation Based on Real-Time Object Stiffness Detection
Zhaoxing Deng, Xutian Deng, Miao Li
Force control is essential for medical robots when touching and contacting the patient's body. To increase the stability and efficiency in force control, an Adaption Module could b…
Learning Friction Model for Tethered Capsule Robot
Yi Wang, Yuchen He, Xutian Deng +3
With the potential applications of capsule robots in medical endoscopy, accurate dynamic control of the capsule robot is becoming more and more important. In the scale of a capsule…
Learning Dynamical System for Grasping Motion
Xiao Gao, Miao Li, Xiaohui Xiao
Dynamical System has been widely used for encoding trajectories from human demonstration, which has the inherent adaptability to dynamically changing environments and robustness to…