Troy Henderson
Papers
8
Total Citations
101
H-Index
4
About
Troy Henderson is a leading researcher in the field of robotics, specializing in inverse kinematics, trajectory generation, and the application of artificial intelligence to robotic manipulators. His work focuses on solving complex control problems for high-degree-of-freedom systems, particularly through the innovative use of the Product of Exponentials (PoE) formulation and screw theory. Henderson’s most impactful contribution is his deep reinforcement-learning approach for inverse kinematics, which has garnered 62 citations and addresses the computational challenges of traditional methods. He has also advanced multi-objective trajectory generation using swarm intelligence, as seen in his 2021 paper with 16 citations, and has explored the integration of neural networks and machine learning for constant screw axis trajectories. Beyond terrestrial robotics, Henderson has contributed to space applications, including the development of an on-orbit maintenance robotic arm test-bed and RGB-D pose estimation for servicing arms. His work at the Embry-Riddle Aeronautical University multispectral sensor and data fusion laboratory further demonstrates his commitment to distributed research and education. With a growing citation record and a focus on both theoretical foundations and practical implementations, Henderson is shaping the future of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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- 6Modeling of an On-Orbit Maintenance Robotic Arm Test-Bed2 citations · 2022
- 7Using Products of Exponentials to Define (Draw) Orbits and More2 citations · 2022
- 8RGB-D Robotic Pose Estimation For a Servicing Robotic Arm2 citations · 2022