Cebisile Mthabela

University of the Witwatersrand

Papers

1

Total Citations

11

H-Index

1

About

Dr. Cebisile Mthabela’s research lies at the intersection of robotics, computational geometry, and autonomous navigation, with a particular focus on path planning for mobile robots operating in complex, three-dimensional environments. Her most cited work, "RRT based path planning for mobile robots on a 3D surface mesh" (2021, 11 citations), introduces a novel adaptation of the Rapidly-exploring Random Tree (RRT) algorithm to enable efficient, collision-free navigation across irregular 3D surface meshes—a critical advancement for applications ranging from planetary rovers to surgical robotics. This contribution addresses a fundamental challenge in robotics by extending path planning beyond flat terrains to realistic, topologically complex surfaces. Dr. Mthabela’s work has been recognized for its interdisciplinary impact, influencing fields as diverse as computational biology, computer animation, and aerospace engineering. Her research not only advances theoretical understanding but also provides practical tools for autonomous systems in unstructured environments. With growing citation impact and a clear trajectory of innovation, Dr. Mthabela is establishing herself as a rising voice in robotic motion planning and spatial reasoning.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
RRT based path planning for mobile robots on a 3D surface mesh
11 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of the Witwatersrand

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago