Muhammad Sarmad Khan

National University of Sciences and Technology

Papers

Total Citations

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About

Dr. Muhammad Sarmad Khan is a robotics researcher specializing in motion planning and autonomous navigation for legged systems, with a particular focus on hexapod robots. His most cited work, "Safe-radius based motion planning of hexapod using RRT-connect" (2015), introduces a novel adaptation of the Rapidly-exploring Random Tree (RRT) algorithm—a cornerstone of sampling-based path planning. By integrating a "safe-radius" constraint into the RRT-Connect variant, Dr. Khan’s method ensures that generated paths not only connect start and goal configurations efficiently but also maintain a collision-free buffer zone, significantly enhancing the safety and reliability of hexapod locomotion in cluttered environments. This contribution addresses a critical challenge in field robotics, where robust navigation is paramount. While his citation count is modest, the work demonstrates foundational thinking in merging algorithmic efficiency with practical safety constraints. Dr. Khan’s research is particularly relevant for students and engineers developing autonomous ground robots for search-and-rescue, exploration, or industrial inspection, offering a clear example of how theoretical path planning can be adapted for real-world, multi-legged platforms.