J. Giesbrecht
Papers
8
Total Citations
127
H-Index
5
About
J. Giesbrecht is a leading researcher in autonomous unmanned ground vehicles (UGVs), with a career focused on advancing military and field robotics through innovative path planning, vision-based control, and human-robot interaction. His most cited work, "Global Path Planning for Unmanned Ground Vehicles" (2004, 51 citations), provides a comprehensive survey of high-level path planning methods for outdoor mobile robotics, covering world representation, graph search, and partial-environment planning—a foundational reference in the field. He has made major contributions to autonomous convoying, developing vision-based follower systems that use pan/tilt/zoom cameras and the SIFT algorithm for real-time leader tracking (2009, 27 citations; 2006, 4 citations). His practical impact is evident in the adaptation of the Pure Pursuit algorithm for path tracking (2005, 14 citations) and the integration of high-degree-of-freedom manipulators on large UGVs like the Multi-Agent Tactical Sentry (2010, 12 citations). Giesbrecht also advanced shared autonomy, creating driving assistance technologies to reduce operator burden in cluttered indoor environments (2017, 4 citations). His work at Defence R&D Canada has shaped the transition from tele-operation to autonomous systems, influencing Canadian Forces capabilities and the broader robotics community.
Research Focus
Key Achievements
Top Papers
- 1Global Path Planning for Unmanned Ground Vehicles51 citations · 2004
- 2A vision-based robotic follower vehicle27 citations · 2009
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- 5Software Systems for Robotics An Applied Research Perspective10 citations · 2006
- 6Development of a Vision-Based Robotic Follower Vehicle5 citations · 2009
- 7Safeguarding autonomy through intelligent shared control4 citations · 2017
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