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20192025
most citedA Survey on the Integration of Machine Learning with Sampling-based Motion Planning

16 citations · 22 across the 11 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.RO2023★ 2 cited

: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space

Ewerton R. Vieira, Aravind Sivaramakrishnan, Sumanth Tangirala +3

Estimating the region of attraction () for a robot controller is essential for safe application and controller composition. Many existing methods require a closed-form e…

cs.RO2023

Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under Dynamics

Aravind Sivaramakrishnan, Sumanth Tangirala, Edgar Granados +2

This paper aims to improve the computational efficiency of motion planning for mobile robots with non-trivial dynamics through the use of learned controllers. Offline, a system-spe…