James Obuhuma
Papers
1
Total Citations
2
H-Index
1
About
James Obuhuma is a researcher at the forefront of autonomous mobile robotics, with a primary focus on co-simulation frameworks and path planning for nonholonomic systems. His most-cited work, "A Co-simulation framework using MATLAB and CoppeliaSim for path planning of nonholonomic mobile robots" (2025), introduces a modular, scalable integration that bridges algorithmic development and realistic simulation environments. This framework addresses critical constraints in real-world experimentation—such as cost, safety, and logistics—enabling robust testing of navigation algorithms before deployment. With 2 citations in its first year, the paper signals growing recognition in the robotics community. Obuhuma’s contributions are particularly notable for their practical impact: by streamlining the transition from simulation to physical implementation, his work accelerates innovation in autonomous navigation. His research holds promise for applications in warehouse logistics, search-and-rescue, and industrial automation. As a rising voice in robotics, Obuhuma continues to push the boundaries of how mobile robots perceive, plan, and move in complex environments.
Research Focus
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Top Papers
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