Richard Camden

About

Richard Camden is a leading researcher in autonomous unmanned ground vehicle (UGV) systems, with a primary focus on perception, detection, and tactical behavior planning for military robotics. His work centers on enabling UGVs to safely navigate dynamic, unstructured environments by developing algorithms for real-time pedestrian detection and tracking using LADAR and video sensors. Camden’s most influential contribution is his 2009 study on performance metrics for evaluating static and dynamic human detection and tracking systems, which has garnered 9 citations and serves as a benchmark for the field. He also pioneered methods for detecting, tracking, and avoiding moving humans from a moving autonomous vehicle (6 citations), directly supporting the U.S. Army’s future unmanned systems requirements. As a key contributor to the Army Research Laboratory’s Robotics Collaborative Technology Alliance (RCTA), Camden advanced two-level planning technologies and assessed tactical behaviors that integrate perception, intelligent control, and soldier-machine interfaces. His work on global/local route planning and shared map data has enabled true autonomous navigation in complex terrains. With a career dedicated to bridging perception and planning, Camden’s research remains foundational for developing robust, real-world autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Performance measurements for evaluating static and dynamic multiple human detection and tracking systems in unstructured environments

   9 citations · 2009
2. 2
   Detection, tracking, and avoidance of moving objects from a moving autonomous vehicle

   6 citations · 2007
3. 3
   Unmanned Ground Vehicle Two-Level Planning Technology Assessment

   3 citations · 2010
4. 4
   Assessing unmanned ground vehicle tactical behaviors performance

   2 citations · 2010
5. 5
   Detecting and tracking moving humans from a moving vehicle

   2 citations · 2008

Key Collaborators

Contact & Links