Bill Triggs

About

Bill Triggs is a pioneering researcher in robotics and computer vision, whose work has fundamentally advanced the integration of sensing, planning, and control in autonomous systems. His key research areas include robot vision, sensor placement, and dextrous manipulation. Triggs made major contributions to automating robot perception, most notably through his work on automatic camera placement for robot vision tasks (56 citations), which addressed the complex challenge of optimizing viewing positions under constraints of occlusion and task requirements. He also developed model-based sonar localization for mobile robots (40 citations), enabling more accurate navigation in uncertain environments. His research on achieving dextrous grasping by integrating planning and vision-based sensing (30 citations) demonstrated how stereo vision and multifingered hands could work together to automate complex manipulation tasks. Additionally, Triggs contributed foundational surveys on motion planning for nonholonomic vehicles (14 citations) and developed the Oxford Robot World Model (6 citations), a framework for representing spatial knowledge in robotics. His work has been instrumental in bridging the gap between theoretical planning algorithms and practical robotic systems, influencing subsequent generations of researchers in autonomous robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Automatic camera placement for robot vision tasks

   56 citations · 2002
2. 2
   Model-based sonar localisation for mobile robots

   40 citations · 1994
3. 3
   Achieving Dextrous Grasping by Integrating Planning and Vision-Based Sensing

   30 citations · 1995
4. 4
   Motion Planning for Nonholonomic Vehicles: An Introduction

   14 citations · 1993
5. 5
   The Oxford Robot World Model

   6 citations · 1991
6. 6
   Automatic Task Planning for Robot Vision

   4 citations · 1996

Key Collaborators

Contact & Links