| CARVIEW |
Hi! I am Utkarsh Mishra. I started my 4th year of PhD in Robotics at Georgia Tech with Dr. Yongxin Chen and Dr. Danfei Xu. My research lies at the intersection of generative methods, physical reasoning, and long-horizon planning for robotics. I focus on compositional diffusion-based approaches that generate long-horizon plans directly at inference from short-horizon data [GSC, GFC]. Recently, I've integrated search with compositional diffusion to scale inference, ensuring coherent long-horizon plans while maintaining short-horizon feasibility[CDGS]. My work has applications in robotic planning, panorama generation, and video diffusion models, and I'm particularly interested in exploring controllable video generation informed by physical reasoning and long-horizon planning.
I have completed internships with Large Behavior Model (LBM) team at TRI and Sony R&D US Labs. Before joining GaTech, I have worked with Prof. Matthew E. Taylor at the Inverse Reinforcement Learning lab, University of Alberta and Prof. Shishir Kolathaya at the Stochastic Robotics lab, Indian Institute of Science. Previously, I have collaborated with Prof. Auke Ijspeert and Dr. Dimitar Stanev at the Biorobotics Laboratory, EPFL. I have also worked on Cable Driven Robots with Dr. Stéphane Caro at CNRS-LS2N France.
Updates:
- Generative Factor Chaining is accepted as CoRL24 poster. More details can be found here.
- Generative Factor Chaining will be presented as a SPOTLIGHT talk in Back to the Future ICRA 2024 workshop!
- Excited to spend my 2024 Summer at Toyota Research Institute as a ML/Robotics Research Intern.
- Generative Factor Chaining won best paper award in Back to the Future ICRA 2024 workshop! Thanks to the organizers.
- Generative Factor Chaining will be presented as a SPOTLIGHT talk in Back to the Future ICRA 2024 workshop!
- ReorientDiff is accepted at ICRA 2024. See you in Yokohama! More details here.
- Generative Skill Chaining is out on arxiv after 5 months "on hold": Arxiv: 2401.03360.
- Attending CoRL'23. Gave a (SPOTLIGHT) talk at the LEAP workshop. Also presented posters at LEAP and TGR workshop.
- Generative Skill Chaining is accepted as CoRL23 poster. More details can be found here.
- I am reviewing for NeurIPS 2023 and CoRL 2023, will continue with ICLR 2024.
- I started as an AI/ML intern at Sony R&D US Labs with the Core AI Research Group.
- "ReorientDiff: Diffusion Model based Reorientation for Object Manipulation" is out on Arxiv: 2303.12700.
- I am reviewing for ICML 2023.
- I started collaborating with Dr. Danfei Xu on solving long horizon TAMP problems.
- "Learning Representations for Control over Pixels: What Matters and Why." accepted by TMLR.
- I am reviewing for NeurIPS 2022.
- I am attending RLDM 2022 at Brown University, Providence and will be presenting an accepted poster.
- I am attending ICRA 2022 in Philadelphia and will be presenting one of my two accepted publications.
- I have joined the Ph.D. Robotics program with Dr. Yongxin Chen at Gerogia Tech.
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| PhD, Robotics Georgia Tech 2022 - Present |
ML/Robotics Research Intern Toyota Research Institute Summer 2024 |
AI/ML Research Intern Sony R&D US Labs Summer 2023 |
BTech, ME IIT Roorkee 2017 - 2021 |
Selected Articles
Website    Paper    Code    Video
Oral: ICRA 2024 Workshop — Back to the Future: Robot Learning Going Probabilistic
Oral: ICRA 2024 Workshop: A Future Roadmap for Sensorimotor Skill Learning for Robot Manipulation
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Oral: CoRL 2023 Learning Effective Abstractions for Planning (LEAP) Workshop
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Poster: RSS 2023 Learning for Task and Motion Planning Workshop
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Poster: Reinforcement Learning and Decision Making 2022.
Poster: Ecological RL workshop at NeurIPS 2021.
Website    Paper    Code    Video
Poster: 2nd Offline RL workshop at NeurIPS 2021.
Poster: Deep RL Workshop at NeurIPS 2021.
Website    Paper    Code    Video
Website    Paper    Code    Video
Website    Paper    Code    Video
Website    Paper    Code    Video
Special Issue: IDETC/CIE 2021 M&R Conference.
Website    Paper    Code    Video
Website    Paper    Code    Video