Chong He — accepted AI-conference papers

2021

A Multi-Contact-Aided Continuum Manipulator With Anisotropic Shapes

Xiaojie Ai, Anzhu Gao, Zecai Lin, Chong He, Weidong Chen

RA-L 2021

Cable-driven continuum manipulators have shown excellent benefits to work for endoluminal intervention. Demand of small diameter for confined anatomy limits the usage of multiple actuations, leading to limited DOFs and bending shapes. To address this problem, this letter proposes a multi-contact-aid

Cited by 19 Source ↗Scholar ↗

2018

Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis

Yi Zhou, Zimo Li, Shuangjiu Xiao, Chong He, Zeng Huang, Hao Li

ICLR 2018poster

We present a real-time method for synthesizing highly complex human motions using a novel training regime we call the auto-conditioned Recurrent Neural Network (acRNN). Recently, researchers have attempted to synthesize new motion by using autoregressive techniques, but existing methods tend to free…

Cited by 264 Source ↗PDF ↗Scholar ↗