Khizar Abbas
Papers
1
Total Citations
2
H-Index
1
About
Khizar Abbas is a robotics researcher whose work centers on motion planning for robot manipulators, with a particular focus on sampling-based algorithms that enable efficient and reliable autonomous movement. His most cited paper, "Comparison of sampling based motion planning algorithms specialized for robot manipulators" (2012, 2 citations), provides a systematic evaluation of seven different algorithms operating in both configuration (C-space) and Cartesian space, all tested within a unified framework. A key contribution of this work is the implementation of a Cartesian-space planner, which addresses the practical challenges of planning in task-oriented coordinates—a critical capability for industrial and service robotics. While his citation count is modest, Abbas’s comparative analysis offers valuable guidance for researchers and engineers selecting motion planners for real-world manipulator applications, helping to bridge the gap between theoretical algorithm development and practical deployment. His work underscores the importance of benchmarking and standardization in robotics, making it a useful reference for students and practitioners seeking to understand the trade-offs between different planning approaches in complex, high-dimensional spaces.
Research Focus
Key Achievements
Top Papers
- 1