James Leadbetter

BAE Systems (United Kingdom)

Papers

2

Total Citations

4

H-Index

2

About

James Leadbetter is a pioneering researcher in human-robot collaboration (HRC), with a focus on multi-user and triadic interaction paradigms. His work centers on developing autonomous robotic systems capable of managing complex, non-dyadic collaborations—where robots work alongside multiple human partners simultaneously. Leadbetter’s major contributions include the design of the TriHRCBot architecture, a novel robotic framework for triadic human-robot collaboration that enables mediated object alignment between two human workers and a robot. This work addresses a critical gap in HRC, as most existing systems are limited to one-on-one interactions. His research also explores the impact of robot responsiveness on workload and trust in multi-user settings, demonstrating that thoughtful robot behavior can enhance team performance and acceptance. With over 2 citations each for his recent 2024 and 2025 papers, Leadbetter’s work is gaining traction in the robotics community. His achievements include advancing the theoretical and practical foundations of collaborative robotics, paving the way for safer, more efficient manufacturing environments where humans and robots work in close proximity. For students and researchers, Leadbetter’s research offers a compelling vision of the future of human-robot teamwork.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Good Things Come in Threes: The Impact of Robot Responsiveness on Workload and Trust in Multi-User Human-Robot Collaboration
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: BAE Systems (United Kingdom)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago