Papers
6
Total Citations
69
H-Index
5
About
Jing-Zhe Xu is an emerging researcher specializing in teleoperation systems, networked robotic systems, and human-robot interaction. His work focuses on designing advanced control architectures that enable reliable, real-time coordination between human operators and multi-robot systems across challenging communication environments, including space applications. Xu's most significant contribution is his development of hierarchical control frameworks for teleoperation of networked robotic systems (NRS). His 2021 paper introducing a force-reflecting hierarchical approach with event-triggered local communication has garnered 35 citations, establishing him as a notable voice in this specialized field. This work addressed critical challenges in reducing communication bandwidth while preserving haptic feedback fidelity — a longstanding bottleneck in practical teleoperation. Beyond this foundational work, Xu has expanded his research into self-triggered Model Predictive Control (MPC), finite-time cooperative control for mobile manipulators, and cloud-supported space teleoperation frameworks. His 2024 contributions on mode-switched control architectures demonstrate a growing interest in adaptive, human-in-the-loop systems capable of flexibly transitioning between autonomous and human-guided operation. With a cumulative citation record approaching 70 across his publications, Xu represents a productive early-career researcher pushing the boundaries of intelligent, networked robotic control — work with significant implications for space exploration, disaster response, and remote surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6