Jianle Xu — accepted AI-conference papers

2025

D3-ARM: High-Dynamic, Dexterous and Fully Decoupled Cable-Driven Robotic Arm

Hong Luo, Jianle Xu, Shoujie Li, Huayue Liang, Yanbo Chen, Chongkun Xia +1

ICRA 2025

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 cable routing that can reduce arm's control precision and performance. In this paper, we present a novel motion decoupl

Cited by 5 Source ↗Scholar ↗

2025

MuxHand: A Cost-Effective and Compact Dexterous Robotic Hand Using Time-Division Multiplexing Mechanism

Jianle Xu, Shoujie Li, Hong Luo, Houde Liu, Xueqian Wang, Wenbo Ding +1

IROS 2025

The number of motors directly influences the dexterity, size, and cost of a robotic hand. In this paper, we present MuxHand, a robotic hand that utilizes a time-division multiplexing motor (TDMM) mechanism. This system enables independent control of 9 cables with just 4 motors, significantly reducin

Cited by 1 Source ↗Scholar ↗