13 citations · 16 across the 2 of their papers we have counts for
3 papers
cs.RO2021
Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach
Astghik Hakobyan, Insoon Yang
This paper proposes a novel safety specification tool, called the distributionally robust risk map (DR-risk map), for a mobile robot operating in a learning-enabled environment. Gi…
cs.RO2020★ 3 cited
Learning-based distributionally robust motion control with Gaussian processes
Astghik Hakobyan, Insoon Yang
Safety is a critical issue in learning-based robotic and autonomous systems as learned information about their environments is often unreliable and inaccurate. In this paper, we pr…
cs.RO2020★ 13 cited
Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk
Astghik Hakobyan, Insoon Yang
In this paper, a risk-aware motion control scheme is considered for mobile robots to avoid randomly moving obstacles when the true probability distribution of uncertainty is unknow…