Christopher Peers

University of Leeds

Papers

11

Total Citations

74

H-Index

5

About

Christopher Peers is an emerging robotics researcher whose work sits at the intersection of legged locomotion, manipulation, and teleoperation. His research focuses primarily on mobile manipulators — particularly quadruped robots equipped with robotic arms — addressing the complex challenges of simultaneous locomotion and manipulation in real-world, often hazardous environments. Peers has made notable contributions to whole-body control frameworks for torque-controlled legged manipulators, developing inverse dynamics-based approaches that manage the intricate coupling between locomotion and manipulation tasks. His most-cited work (16 citations) tackles this foundational control challenge directly. Equally significant is his development of standardized evaluation schemes for human-robot teleoperation interfaces, providing the research community with systematic tools for assessing mobile manipulator teleoperation performance and usability. A recurring theme throughout his portfolio is the application of teleoperation to life-threatening scenarios such as Explosive Ordnance Disposal, where he has pioneered wearable IMU-based motion capture systems — the TeLeMan framework — enabling intuitive, whole-body robot control. His earlier work on humanoid fall arrest strategies (10 citations) demonstrates breadth beyond legged manipulation. With over 70 cumulative citations across a focused body of work spanning just a few years, Peers represents a promising voice advancing practical robotic autonomy and human-robot collaboration in safety-critical applications.

Research Focus

Key Achievements

5
H-Index
11
Papers
74
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Whole-Body Control for a Torque-Controlled Legged Mobile Manipulator
16 citations · 2022
📈 Most Prolific Year: 2022 (6 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: University of Leeds

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago