7 citations · 11 across the 10 of their papers we have counts for
13 papers
Distributionally Robust Planning with Adaptive Control
Astghik Hakobyan, Amaras Nazarians, Aditya Gahlawat +2
Safe operation of autonomous systems requires robustness to both model uncertainty and uncertainty in the environment. We propose DRP-AC, a hierarchical framework fo…
Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable Autonomy
Aditya Gahlawat, Ahmed Aboudonia, Sandeep Banik +5
Imitation learning (IL) enables autonomous behavior by learning from expert demonstrations. While more sample-efficient than comparative alternatives like reinforcement learning, I…
-DRAC: Distributionally Robust Adaptive Control
Aditya Gahlawat, Sambhu H. Karumanchi, Naira Hovakimyan
Data-driven machine learning methodologies have attracted considerable attention for the control and estimation of dynamical systems. However, such implementations suffer from a la…
Wasserstein Distributionally Robust Adaptive Covariance Steering
Aditya Gahlawat, Vivek Khatana, Duo Wang +3
We present a methodology for predictable and safe covariance steering control of uncertain nonlinear stochastic processes. The systems under consideration are subject to general un…
Safe Sampling-Based Air-Ground Rendezvous Algorithm for Complex Urban Environments
Gabriel Barsi Haberfeld, Aditya Gahlawat, Naira Hovakimyan
Demand for fast and economical parcel deliveries in urban environments has risen considerably in recent years. A framework envisions efficient last-mile delivery in urban environme…
Distributed Algorithms for Linearly-Solvable Optimal Control in Networked Multi-Agent Systems
Neng Wan, Aditya Gahlawat, Naira Hovakimyan +2
Distributed algorithms for both discrete-time and continuous-time linearly solvable optimal control (LSOC) problems of networked multi-agent systems (MASs) are investigated in this…