Current
Fall 2024 - Instructor for Reinforcement Learning at Tufts University
2020 - Current - Fifth year PhD Student in Computer Science advised by Prof. Jivko Sinapov.
Previous
Summer 2024 - Research Intern, Autodesk Research, with the Robotics Research Team
Spring 2024 - Instructor for Reinforcement Learning at Tufts University
Oct 2023 - Apr 2024 - Research Intern, Mitsubishi Electric Research Labs, hosted by Siddarth Jain
Fall 2023 - Instructor for Reinforcement Learning at Tufts University
Summer 2022 - Research Internship, Georgia Tech Research Institute, hosted by Robert Wright
2018 - 2020 - Masters in Robotics Engineering at Worcester Polytechnic Institute
Summer 2019 - Internship at Computer Vision Group, MathWorks
2014-2018 - Bachelors in Mechanical Engineering, BITS Pilani
Spring 2018 - Internship at Centre for AI and Robotics, Bangalore
Research Interests
My research interests can broadly be categorized as follows:
Robot Manipulation: - 6 DOF Grasp pose generation using Diffusion Modeling, Imitation Learning, Foundation Models for Robot Manipulation
2D and 3D Generative AI: Reconstructing the neural structure and generating 3D models from using different types of data.
Foundational Models (LLMs / VLMs): Leveraging LLMs / VLMs to improve sample efficiency of RL agents and embodied robotic agents.
Neurosymbolic AI: Using temporal logical specifications and planning domains to improve learning progress of RL agents.
Curriculum Learning for RL: Coming up with efficient representations to break down complex RL task into simpler sequenatial and graphical task representations that improve the learning progress of RL agents.
CV and Robotics: Understanding and analyzing human intent using CV (Images, Videos, Depth) and natural language for efficient human-robot collaboration.
Sim2Real Transfer: Transferring RL policies from Simulated environments to Physical robotic settings
Most applications of my work are directed toward Robotics and Robot Learning.
Please visit my Publications page for up-to-date information on my ongoing research.
News
[June 2024] Our papers on Autonomous Robotic Assembly and Goal-Conditioned Continual Learning for Open-World tasks accepted at IROS 2024!
[June 2024] Our paper on Agent-Centric Human Demonstrations for World Models accepted at RLC 2024!
[Feb 2024] Our paper on Logical Specifications-guided Dynamic Task Sampling for RL agents accepted at ICAPS 2024!
[Dec 2023] Our paper on LLM-guided Dynamic Task Sampling for RL agents accepted at AAMAS 2024!
Contact
Feel free to reach out to me at: yash DOT shukla AT tufts DOT edu