Christopher R. Hudson
Papers
11
Total Citations
83
H-Index
6
About
Christopher R. Hudson is a researcher at the forefront of human-robot interaction (HRI), specializing in voice-controlled systems, immersive virtual reality training, and autonomous navigation. His work centers on making robotic platforms more accessible and effective in high-stakes environments, particularly for law enforcement and military applications. Hudson’s most significant contribution is the development of a specialized English speech interface for the Jaguar V4 robot, used directly with the Starkville SWAT team—a project that earned 18 citations and demonstrated real-world impact. He extended this work by integrating head-mounted displays (HMDs) for immersive training, showing how virtual reality can prepare operators for stressful, dynamic scenarios. His research on stress factors in robot control (4 citations) and training tools for non-native English speakers (2 citations) highlights his commitment to inclusive, practical design. Hudson has also advanced autonomous systems through neural network training with automated labeling of simulated sensor data (12 citations) and a centroid-based cell decomposition path planning algorithm (7 citations). With over 80 total citations, Hudson’s work bridges cutting-edge simulation, robotics, and human factors, offering tangible solutions for mission-critical operations.
Research Focus
Key Achievements
Top Papers
- 1Implementing English speech interface to Jaguar robot for SWAT training18 citations · 2017
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- 3Training of Neural Networks with Automated Labeling of Simulated Sensor Data12 citations · 2019
- 4A training tool for speech driven human-robot interaction applications9 citations · 2017
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