3 citations · 4 across the 6 of their papers we have counts for
6 papers
D3-ARM: High-Dynamic, Dexterous and Fully Decoupled Cable-driven Robotic Arm
Hong Luo, Jianle Xu, Shoujie Li +4
Cable transmission enables motors of robotic arm to operate lightweight and low-inertia joints remotely in various environments, but it also creates issues with motion coupling and…
MuxHand: A Cable-driven Dexterous Robotic Hand Using Time-division Multiplexing Motors
Jianle Xu, Shoujie Li, Hong Luo +4
The robotic dexterous hand is responsible for both grasping and dexterous manipulation. The number of motors directly influences both the dexterity and the cost of such systems. In…
ViIK: Flow-based Vision Inverse Kinematics Solver with Fusing Collision Checking
Qinglong Meng, Chongkun Xia, Xueqian Wang
Inverse Kinematics (IK) is to find the robot's configurations that satisfy the target pose of the end effector. In motion planning, diverse configurations were required in case a f…
PaddingFlow: Improving Normalizing Flows with Padding-Dimensional Noise
Qinglong Meng, Chongkun Xia, Xueqian Wang
Normalizing flow is a generative modeling approach with efficient sampling. However, Flow-based models suffer two issues: 1) If the target distribution is manifold, due to the unma…
Geometric Structure and Polynomial-time Algorithm of Game Equilibria
Hongbo Sun, Chongkun Xia, Junbo Tan +3
Whether a PTAS (polynomial-time approximation scheme) exists for game equilibria has been an open question, and its absence has indications and consequences in three fields: the pr…
Replay-enhanced Continual Reinforcement Learning
Tiantian Zhang, Kevin Zehua Shen, Zichuan Lin +4
Replaying past experiences has proven to be a highly effective approach for averting catastrophic forgetting in supervised continual learning. However, some crucial factors are sti…