Roger Nkambou
Papers
14
Total Citations
237
H-Index
8
About
Roger Nkambou is a prominent researcher whose work sits at the intersection of intelligent tutoring systems, robotics, and artificial intelligence. He is best known for his pioneering contributions to the development of intelligent training environments for complex robotic systems, most notably systems designed to train astronauts and operators of the Space Station Remote Manipulator System (SSRMS) aboard the International Space Station. His most-cited work on anytime dynamic path-planning with flexible probabilistic roadmaps (63 citations) introduced innovative techniques for robot navigation in high-complexity 3D environments, while his broader body of research integrates these path-planning advances directly into educational software that teaches real-world robotic operations. Nkambou's research also pushes the boundaries of cognitive modeling in intelligent tutoring systems. He has explored how consciousness-inspired architectures and emotion-aware agents can enhance learner diagnosis and adaptive tutoring, as seen in projects like CELTS and Roman Tutor. His multiparadigm ITS for robotic arm training demonstrates a sophisticated fusion of domain knowledge representation strategies. With over 220 cumulative citations across his key works, Nkambou's research has meaningfully shaped how simulation-based learning environments assess spatial skills and support complex technical training, making him a significant voice in both educational technology and applied robotics.
Research Focus
Key Achievements
Top Papers
- 1Anytime dynamic path-planning with flexible probabilistic roadmaps63 citations · 2006
- 2Path-planning for autonomous training on robot manipulators in space35 citations · 2005
- 3A multiparadigm intelligent tutoring system for robotic arm training30 citations · 2013
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- 5An Intelligent Simulator for Telerobotics Training22 citations · 2011
- 6
- 7What Does Consciousness Bring to CTS13 citations · 2007
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- 10Supporting Training on a Robotic Simulator using a Flexible Path Planner5 citations · 2005