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Ashwin Menon

2 accepted papers

2025

Homotopy-Aware Efficiently Adaptive State Lattices for Mobile Robot Motion Planning in Cluttered Environments

RA-L 2025

Mobile robot navigation architectures that employ a planning algorithm to provide a single optimal path to follow are flawed in the presence of unstructured, rapidly changing environments. As the environment updates, optimal plans often oscillate around discrete obstacles, which is problematic for p

Cited by 4SourceScholar
2021

Discrete Optimization of Adaptive State Lattices for Iterative Motion Planning on Unmanned Ground Vehicles

IROS 2021poster

Robust motion planners for unmanned ground vehicles must minimize risk while obeying vehicle mobility constraints. Algorithms such as the State Lattice (SL) utilize offline computation to generate expressive control sets which form recombinant search spaces, enabling the use of heuristic search to e…

Cited by 12SourceScholar