Our research vision is to build the Algorithmic Foundations for Generalizable Autonomy, that enables robots to acquire skills, at both cognitive & dexterous levels, and to seamlessly interact & collaborate with humans in novel environments. We focus on understanding structured inductive biases and causality on a quest for general-purpose embodied intelligence that learns from imprecise information and achieves flexibility & efficiency of human reasoning.
Research: Our current research focuses on machine learning algorithms for perception and control in robotics. The principal focus of this research is to understand representations and algorithms to enable the efficiency and generality of learning for interaction in autonomous agents. We work on challenging open problems at the intersection of computer vision, machine learning, and robotics. We develop algorithms and systems that unify reinforcement learning, control theoretic modeling, causality, and 2D/3D visual scene understanding to teach robots to perceive and to interact with the physical world. Read more
Research Interests: Robotics, Reinforcement Learning, Causality, Perception
Current Applications: Mobile-Manipulation in Retail/Warehouse, Personal/Sevice, and Surgical/Medical robotics.
We are accepting new students at all levels!
Please see openings for details.
|Mar 2, 2022||MAC, NSM and X-Pool accepted at CVPR 22.|
|Feb 28, 2022||New papers on planning(PlaTe) at ICRA 22 and RL (LFIW) at L4DC 22.|
|Jan 21, 2022||VaGram, SHAC and PBRL accepted at ICLR 22.|
|Dec 1, 2021||Convergence in Policy Gradients accepted at AAAI 22.|
|Nov 16, 2021||Organizing Neurips workshop on Deep Learning & Differential Equations|
|Nov 15, 2021||Organizing Neurips workshop on Deployable Decision Making (DDM)|
|Sep 30, 2021||Organizing IROS workshop on Safe Real World Autonomy|
|Sep 28, 2021||3 papers: Drop-DTW, Neural Automata, Exploration in RL accepted at Neurips.|
|Sep 13, 2021||Three papers: Seeing Glass, HLSM, and S4RL accepted at CoRL.|
|Jul 15, 2021||DiSeCT won the Best Student Paper Award at RSS.|