activity
20062026
most citedTube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics

42 citations · 338 across the 135 of their papers we have counts for

collaborators
Showing 2025Show all

15 papers · 1 filter

eess.SY2025

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…

cs.RO2025

A Robust Task-Level Control Architecture for Learned Dynamical Systems

Eshika Pathak, Ahmed Aboudonia, Sandeep Banik +1

Dynamical system (DS)-based learning from demonstration (LfD) is a powerful tool for generating motion plans in the operation ('task') space of robotic systems. However, realizing…

cs.CV2025

Do Satellite Tasks Need Special Pretraining?

Ani Vanyan, Alvard Barseghyan, Hakob Tamazyan +4

Foundation models have advanced machine learning across various modalities, including images. Recently multiple teams trained foundation models specialized for remote sensing appli…

cs.RO2025

A Simulation Evaluation Suite for Robust Adaptive Quadcopter Control

Dingqi Zhang, Ran Tao, Sheng Cheng +2

Robust adaptive control methods are essential for maintaining quadcopter performance under external disturbances and model uncertainties. However, fragmented evaluations across tas…

math.OC2025

Networked Control and Mean Field Problems Under Diagonal Dominance: Decentralized and Social Optimality

Vivek Khatana, Duo Wang, Petros Voulgaris +2

In this article, we employ an input-output approach to expand the study of cooperative multi-agent control and optimization problems characterized by mean-field interactions that a…

cs.HC2025

Flip Co-op: Cooperative Takeovers in Shared Autonomy

Sandeep Banik, Naira Hovakimyan

Shared autonomy requires principled mechanisms for allocating and transferring control between a human and an autonomous agent. Existing approaches often rely on blending control i…