P. Rajendran
Papers
8
Total Citations
148
H-Index
7
About
P. Rajendran is a leading researcher in robotic motion planning and manipulation, with a focus on advancing the autonomy of mobile manipulators in complex manufacturing environments. Their work addresses critical challenges in non-holonomic motion planning, task assignment, and trajectory execution for industrial robots. Rajendran’s most cited paper (29 citations) introduces accelerated bi-directional sampling-based search methods for mobile manipulators in congested spaces, while their research on teleoperated semi-autonomous systems (25 citations) and multi-agent task assignment (22 citations) has significantly improved the efficiency of machine tending and bi-manual manipulation. A key contribution is their development of context-dependent compensation schemes to reduce trajectory execution errors (18 citations), enabling high-accuracy manufacturing without manual refinement. Rajendran has also pioneered strategies for generating configuration space trajectories over semi-constrained Cartesian paths (20 citations) and speeding up path planning in cluttered environments (15 citations). With over 148 total citations across their most influential works, Rajendran’s research bridges the gap between theoretical motion planning and practical industrial applications, making robotic automation more reliable, efficient, and accessible for small-volume production and complex assembly tasks.
Research Focus
Key Achievements
Top Papers
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- 6Task Assignment and Motion Planning for Bi-Manual Mobile Manipulation16 citations · 2019
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