Papers
9
Total Citations
62
H-Index
4
About
Troy Harden is a robotics researcher whose work spans motion planning, obstacle avoidance, and human-robot interaction, with a particular focus on deploying autonomous systems in hazardous environments. His most cited paper, "Augmented Reality for Interactive Robot Control" (2019, 22 citations), demonstrates his commitment to making robot control more intuitive and accessible. Harden’s foundational contributions include a software architecture for multi-criteria decision-making in redundant manipulator control (2002, 11 citations) and the use of geometric influence coefficients for obstacle avoidance in cluttered spaces (2005, 8 citations). He has also advanced motion planning in dynamic environments through the development of the Goal Tree algorithm, which improves upon the asymptotically optimal RRT* by reusing trees when unexpected obstacles appear (2014, 4 citations; 2018, 4 citations). Notably, Harden has applied his expertise to nuclear materials processing at Los Alamos National Laboratory, addressing challenges like confined spaces and radiation hazards (2009, 3 citations). His work on limited-range spatial load balancing for multi-robot teams (2017, 2 citations) further highlights his versatility in solving real-world robotic coordination problems. With a career bridging theoretical algorithms and practical deployment, Harden’s research continues to impact both academic robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Augmented Reality for Interactive Robot Control22 citations · 2019
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- 4Experimental Evaluation of a Criteria-Based Obstacle Avoidance Scheme6 citations · 1999
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- 7Robotics in Nuclear Materials Processing at LANL: Capabilities and Needs3 citations · 2009
- 8Limited range spatial load balancing for multiple robots2 citations · 2017
- 9Robotics for Nuclear Material Handling at LANL:Capabilities and Needs2 citations · 2009