People


Faculty

Pratik Chaudhari

Pratik Chaudhari

Assistant Professor, ESE

Department: Electrical and Systems Engineering (ESE), Computer and Information Sciences (CIS)

Pratik is interested in the areas of machine learning, robotics and computer vision. His ambition is to bring the dream of cybernetics closer to reality, towards Embodied Intelligence. The ability to perceive and control the environment is the hallmark of such intelligence and their interplay is the core of my research. In a nutshell, he would like to build embodied autonomous agents that are intelligent not just in the sense of a chess-playing program but also intelligent in the sense of a dog. This research is highly multi-disciplinary: it draws from optimization, statistical physics, partial differential equations and stochastic processes, as also, stochastic control, motion planning and formal verification methods.  It involves both experimental and theoretical work; pushing the envelope of science and achieving broad societal impact requires both. It focuses on applications in home robotics, personal healthcare and autonomous driving.

Research Areas

  • Computer Vision
  • Perception
  • Reinforcement Learning
  • Autonomy
  • Machine Learning
  • Planning

Publications

A Baseline for Few-Shot Image Classification

Publisher IEEE International Conference on Robotics and Automation (ICRA)

A Free-Energy Principle for Representation Learning

Publisher IEEE International Conference on Robotics and Automation (ICRA)

A Geometric Interpretation of Stochastic Gradient Descent Using Diffusion Metrics

Publisher Multidisciplinary Digital Publishing Institute (MDPI)

Meta-Q-Learning

Publisher IEEE International Conference on Robotics and Automation (ICRA)

MIDAS: Multi-agent Interaction-aware Decision-making with Adaptive Strategies for Urban Autonomous Navigation

Publisher IEEE International Conference on Robotics and Automation (ICRA)

Proximal Deterministic Policy Gradient

Publisher IEEE International Conference on Intelligent Robots and Systems (IROS)

Rethinking the Hyperparameters of Fine-tuning

Publisher IEEE International Conference on Robotics and Automation (ICRA)

Students

Harleen Brar

PhD, ESE


Zhangkaiwen Chu

Robotics MSE


Yansong Gao

PhD, AMCS


Andrew Garrett

Robotics MSE - Accelerated Master's


Rahul Maganti

Robotics MSE - Submatric


Jialin Mao

PhD, AMCS


Chetan Parthiban

Robotics MSE - Submatric


Rahul Ramesh

PhD, CIS


Sheil Sarda

Robotics MSE - Submatric


Alumni

Ashish Mehta

Robotics MSE '20 - Qualcomm


Pratik Chaudhari

Research Areas

  • Computer Vision
  • Perception
  • Reinforcement Learning
  • Autonomy
  • Machine Learning
  • Planning