Froduald Kabanza

Université de Sherbrooke

Papers

11

Total Citations

121

H-Index

6

About

Froduald Kabanza is a robotics and artificial intelligence researcher whose work spans autonomous robot planning, motion planning, and intelligent training systems. He is perhaps best known for his significant contributions to space robotics, particularly his development of path-planning systems for the Space Station Remote Manipulator System (SSRMS) aboard the International Space Station. His 2005 paper on autonomous training for robot manipulators in space, which has garnered 35 citations, demonstrates how intelligent planning algorithms can be integrated into simulation-based training tools to help operators manage the complexity of controlling robotic arms in environments with limited visibility. Beyond space applications, Kabanza has made notable contributions to omnidirectional mobile robot motion planning, reactive planning in behavioral architectures, and model-checking approaches for reasoning about robot actions. His iterative design philosophy for advanced mobile robots reflects a systems-level thinking that integrates hardware, software, and decision-making components to tackle real-world challenges. With additional work on automated camera planning and conference-attending robot scenarios, Kabanza consistently bridges theoretical AI planning with practical robotic applications. His body of work, collectively accumulating over 100 citations, makes him a valuable contributor to the intersection of AI and autonomous robotics.

Research Focus

Key Achievements

6
H-Index
11
Papers
121
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Path-planning for autonomous training on robot manipulators in space
35 citations · 2005
📈 Most Prolific Year: 2005 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Université de Sherbrooke

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago