Jing Cheng

About

Jing Cheng is a leading researcher in the dynamics and control of space robotic systems, with a particular focus on dual-arm space robots and their application to on-orbit servicing. Their work addresses the critical challenge of capturing and manipulating non-cooperative targets, such as spin spacecraft, in the microgravity environment. Cheng’s major contributions include developing fuzzy neural network control schemes with H∞ tracking characteristics for stabilizing a space robot after capturing a spinning target, and designing coordinated robust controllers based on extended state observers for closed-chain systems during target transfer. These innovations are essential for ensuring the safe and precise handling of space debris or defunct satellites. With their most cited papers garnering 13 and 11 citations respectively, Cheng’s research is foundational for advancing autonomous robotic operations in space. Their work not only tackles complex nonlinear dynamics and impact effects but also provides practical control solutions that enhance the stability and reliability of future space missions.

Research Focus

Key Achievements

Top Papers

1. 1
   The fuzzy neural network control scheme with H tracking characteristic of space robot system with dual-arm after capturing a spin spacecraft

   13 citations · 2018
2. 2
   Coordinated robust control based on extended state observer of dual-arm space robot with closed chain for transferring a target

   11 citations · 2017

Key Collaborators

Contact & Links