Papers
16
Total Citations
433
H-Index
10
About
David Powell is a prominent researcher specializing in dependable and safe human-robot interaction (pHRI), with particular expertise in risk analysis, safety monitoring, and fault tolerance for autonomous robotic systems. His work addresses one of robotics' most pressing challenges: ensuring that robots operating in everyday human environments remain reliably safe and trustworthy. Powell's most influential contribution, a 2006 survey on safe and dependable physical human-robot interaction (234 citations), helped define the foundational challenges of introducing robots into anthropic domains, shaping subsequent research directions across the field. Building on this, he developed innovative model-based risk assessment methodologies — notably UML-based scenario analysis and deviation-driven risk identification — providing practical tools for engineers designing safety-critical robotic systems. His work on fault-tolerant planning, safety trigger conditions, and online safety monitoring further demonstrates a comprehensive approach to robustness throughout a robot's operational lifecycle. Powell has also applied his frameworks to real-world medical robotics, including rehabilitation systems like the MIRAS walking assistance robot, confronting the difficult intersection of regulatory standards and cutting-edge autonomous systems. His long-standing contributions through institutions such as LAAS-CNRS, including the SESAME fault injection tool, reflect a career dedicated to bridging theoretical dependability research with tangible engineering practice — making his work essential reading for anyone working on safety-critical autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Experience with Model-Based User-Centered Risk Assessment for Service Robots34 citations · 2010
- 3A UML-based method for risk analysis of human-robot interactions30 citations · 2010
- 4Fault Tolerant Planning for Critical Robots20 citations · 2007
- 5
- 6Safety Trigger Conditions for Critical Autonomous Systems14 citations · 2012
- 7
- 8The SESAME Experience: from Assembly Languages to Declarative Models14 citations · 2006
- 9Online Safety Monitoring Using Safety Modes12 citations · 2008
- 10