Muhammad Suhail Saleem
Papers
3
Total Citations
16
H-Index
2
About
Muhammad Suhail Saleem is a robotics researcher whose work focuses on advancing robot manipulation in highly cluttered and constrained environments. His primary research areas include motion planning, physics-based simulation, and non-prehensile manipulation, with a particular emphasis on enabling robots to navigate complex, real-world scenes without requiring perfect object rearrangement. Saleem’s major contributions lie in developing algorithms that integrate heuristic search with optimization-based primitives, allowing high-dimensional manipulators—such as a 21-degree-of-freedom snake-like robot—to plan paths through tight spaces like gas turbine interiors for inspection tasks. His work on planning with selective physics-based simulation demonstrates how robots can reason about and execute actions that involve pushing objects aside, rather than meticulously clearing a path, making manipulation more efficient and practical. With his most-cited paper garnering 10 citations, Saleem’s research is gaining traction for its innovative approach to contact-rich interactions. His notable achievement includes the development of adaptive motion primitives that leverage physics to handle movable obstacles, a critical step toward deploying robots in unstructured human environments like cluttered kitchens or industrial sites.
Research Focus
Key Achievements
Top Papers
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