Papers
18
Total Citations
606
H-Index
11
About
Nicolas Hudson is a robotics researcher whose work spans autonomous manipulation, legged locomotion, and field robotics in challenging environments. He has made significant contributions to the design and control of complex robotic systems, most notably through his work on RoboSimian, a quadrupedal robot capable of both sophisticated manipulation and mobility across difficult terrain, which has garnered 130 citations and represented a landmark achievement in multi-limb robot design. Hudson's research into dexterous manipulation—encompassing tactile sensing, object localization, and model-based autonomy—has helped advance the state of the art in how robots interact with and reason about their environments. His later work expanded into multi-robot field exploration, contributing to Team CSIRO Data61's highly cited approach to the DARPA Subterranean Challenge, which demonstrated how heterogeneous ground and aerial platforms can collaborate autonomously in dangerous underground settings. A comprehensive survey on terrain traversability analysis, now cited 83 times, further reflects his broad impact on autonomous ground vehicle navigation. Across his career, Hudson's research consistently bridges theoretical rigor with real-world deployment, making him a key figure in practical, field-ready autonomous robotics.
Research Focus
Key Achievements
Top Papers
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- 4End-to-end dexterous manipulation with deliberate interactive estimation45 citations · 2012
- 5The next best touch for model-based localization43 citations · 2013
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- 9A Quadratic Programming Approach to Quasi-Static Whole-Body Manipulation21 citations · 2015
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