Devesh K. Jha

  • Biography

    Devesh's PhD Thesis was on decision & control of autonomous systems. He also got a Master's degree in Mathematics from Penn State. His research interests are in the areas of Machine Learning, Time Series Analytics and Robotics. He was a recipient of the best student paper award at the 1st ACM SIGKDD workshop on Machine Learning for Prognostics and Health Management at KDD 2016, San Francisco.

  • Recent News & Events

    •  TALK    [MERL Seminar Series 2023] Prof. Zac Manchester presents talk titled Composable Optimization for Robotic Simulation, Planning, and Control
      Date & Time: Wednesday, September 27, 2023; 1:00 PM
      Speaker: Zac Manchester, Carnegie Mellon University
      MERL Host: Devesh K. Jha
      Research Areas: Optimization, Robotics
      Abstract
      • Contact interactions are pervasive in key real-world robotic tasks like manipulation and walking. However, the non-smooth dynamics associated with impacts and friction remain challenging to model, and motion planning and control algorithms that can fluently and efficiently reason about contact remain elusive. In this talk, I will share recent work from my research group that takes an “optimization-first” approach to these challenges: collision detection, physics, motion planning, and control are all posed as constrained optimization problems. We then build a set of algorithmic and numerical tools that allow us to flexibly compose these optimization sub-problems to solve complex robotics problems involving discontinuous, unplanned, and uncertain contact mechanics.
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    •  NEWS    MERL researchers present 3 papers on Dexterous Manipulation at RSS 23.
      Date: July 11, 2023
      Where: Daegu, Korea
      MERL Contacts: Siddarth Jain; Devesh K. Jha; Arvind Raghunathan
      Research Areas: Artificial Intelligence, Machine Learning, Robotics
      Brief
      • MERL researchers presented 3 papers at the 19th edition of Robotics:Science and Systems Conference in Daegu, Korea. RSS is the flagship conference of the RSS foundation and is run as a single track conference presenting a limited number of high-quality papers. This year the main conference had a total of 112 papers presented. MERL researchers presented 2 papers in the main conference on planning and perception for dexterous manipulation. Another paper was presented in a workshop of learning for dexterous manipulation. More details can be found here https://roboticsconference.org.
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  • Awards

    •  AWARD    MERL Researchers Win Best Workshop Poster Award at the 2023 IEEE International Conference on Robotics and Automation (ICRA)
      Date: June 2, 2023
      Awarded to: Yuki Shirai, Devesh Jha, Arvind Raghunathan and Dennis Hong
      MERL Contacts: Devesh K. Jha; Arvind Raghunathan
      Research Areas: Artificial Intelligence, Optimization, Robotics
      Brief
      • MERL's paper titled: "Closed-Loop Tactile Controller for Tool Manipulation" Won the Best Poster Award in the workshop on "Embracing contacts : Making robots physically interact with our world". First author and MERL intern, Yuki Shirai, was presented with the award at a ceremony held at ICRA in London. MERL researchers Devesh Jha, Principal Research Scientist, and Arvind Raghunathan, Senior Principal Research Scientist and Senior Team Leader as well as Prof. Dennis Hong of University of California, Los Angeles are also coauthors.

        The paper presents a technique to manipulate an object using a tool in a closed-loop fashion using vision-based tactile sensors. More information about the workshop and the various speakers can be found here https://sites.google.com/view/icra2023embracingcontacts/home.
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    •  AWARD    MERL Researcher Devesh Jha Wins the Rudolf Kalman Best Paper Award 2019
      Date: October 10, 2019
      Awarded to: Devesh Jha, Nurali Virani, Zhenyuan Yuan, Ishana Shekhawat and Asok Ray
      MERL Contact: Devesh K. Jha
      Research Areas: Artificial Intelligence, Control, Data Analytics, Machine Learning, Robotics
      Brief
      • MERL researcher Devesh Jha has won the Rudolf Kalman Best Paper Award 2019 for the paper entitled "Imitation of Demonstrations Using Bayesian Filtering With Nonparametric Data-Driven Models". This paper, published in a Special Commemorative Issue for Rudolf E. Kalman in the ASME JDSMC in March 2018, uses Bayesian filtering for imitation learning in Hidden Mode Hybrid Systems. This award is given annually by the Dynamic Systems and Control Division of ASME to the authors of the best paper published in the ASME Journal of Dynamic Systems Measurement and Control during the preceding year.
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  • Internships with Devesh

    • OR2115: Hierarchical Reinforcement Learning for Robotic Manipulation

      MERL is looking for a highly motivated individual to work on long-horizon planning and decision making for robotic manipulation using large language models (LLMs) and Hierarchical RL. The research will develop novel algorithms for long-horizon task planning and execution using Hierarchical Reinforcement learning and LLMs. The ideal candidate should have experience in either one or multiple of the following topics: (Deep) Reinforcement learning, Hierarchical RL, LLMs, policy optimization and Markov Decision Processes (MDPs). Senior PhD students in machine learning and engineering with a focus on Reinforcement Learning and robotics are encouraged to apply. Prior experience working with physics engines like Mujoco, Isaac Gym, etc. is required. Prior experience working with Python and ROS is required. A successful internship will result in submission of results to peer-reviewed conference and journals. Good coding skills in Python and state-of-the-art RL environments (e.g., RL Bench) is required. The expected duration of internship is 3-4 months with flexible start dates. This internship is preferred to be onsite at MERL.

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  • MERL Publications

    •  Shaw, S., Jha, D.K., Raghunathan, A., Corcodel, R., Romeres, D., Konidaris, G., Nikovski, D., "Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2023.
      BibTeX TR2023-121 PDF Video
      • @inproceedings{Shaw2023sep,
      • author = {Shaw, Seiji and Jha, Devesh K. and Raghunathan, Arvind and Corcodel, Radu and Romeres, Diego and Konidaris, George and Nikovski, Daniel},
      • title = {Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments},
      • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      • year = 2023,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2023-121}
      • }
    •  Shirai, Y., Jha, D.K., Raghunathan, A., "Contact-Aware Covariance Control of Stochastic Contact-Rich Systems", IROS 2023 Workshop on Leveraging Models for Contact-Rich Manipulation, September 2023.
      BibTeX TR2023-120 PDF
      • @inproceedings{Shirai2023sep,
      • author = {Shirai, Yuki and Jha, Devesh K. and Raghunathan, Arvind},
      • title = {Contact-Aware Covariance Control of Stochastic Contact-Rich Systems},
      • booktitle = {IROS 2023 Workshop on Leveraging Models for Contact-Rich Manipulation},
      • year = 2023,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2023-120}
      • }
    •  Ota, K., Jha, D.K., Jatavallabhula, K.M., Kanezaki, A., Tenenbaum, J.B., "Tactile Estimation of Extrinsic Contact Patch for Stable Placement", arXiv, September 2023.
      BibTeX arXiv
      • @article{Ota2023sep,
      • author = {Ota, Kei and Jha, Devesh K. and Jatavallabhula, Krishna Murthy and Kanezaki, Asako and Tenenbaum, Joshua B.},
      • title = {Tactile Estimation of Extrinsic Contact Patch for Stable Placement},
      • journal = {arXiv},
      • year = 2023,
      • month = sep,
      • url = {https://arxiv.org/abs/2309.14552}
      • }
    •  Hori, C., Peng, P., Harwath, D., Liu, X., Ota, K., Jain, S., Corcodel, R., Jha, D.K., Romeres, D., Le Roux, J., "Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos", Interspeech, DOI: 10.21437/​Interspeech.2023-1983, August 2023, pp. 4663-4667.
      BibTeX TR2023-104 PDF
      • @inproceedings{Hori2023aug,
      • author = {Hori, Chiori and Peng, Puyuang and Harwath, David and Liu, Xinyu and Ota, Kei and Jain, Siddarth and Corcodel, Radu and Jha, Devesh K. and Romeres, Diego and Le Roux, Jonathan},
      • title = {Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos},
      • booktitle = {Interspeech},
      • year = 2023,
      • pages = {4663--4667},
      • month = aug,
      • doi = {10.21437/Interspeech.2023-1983},
      • url = {https://www.merl.com/publications/TR2023-104}
      • }
    •  Ota, K., Jain, S., Zhang, M., Jha, D.K., "Tactile Pose Feedback for Closed-loop Manipulation Tasks", RSS 23 Workshop on Learning Dexterous Manipulation, July 2023.
      BibTeX TR2023-082 PDF
      • @inproceedings{Ota2023jul,
      • author = {Ota, Kei and Jain, Siddarth and Zhang, Mengchao and Jha, Devesh K.},
      • title = {Tactile Pose Feedback for Closed-loop Manipulation Tasks},
      • booktitle = {RSS 23 Workshop on Learning Dexterous Manipulation},
      • year = 2023,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2023-082}
      • }
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  • Software & Data Downloads

  • Videos

  • MERL Issued Patents

    • Title: "System and Method for Robotic Assembly Based on Adaptive Compliance"
      Inventors: Nikovski, Daniel N.; Romeres, Diego; Jha, Devesh; Yerazunis, William S.
      Patent No.: 11,673,264
      Issue Date: Jun 13, 2023
    • Title: "System and Method for Policy Optimization using Quasi-Newton Trust Region Method"
      Inventors: Jha, Devesh; Raghunathan, Arvind U; Romeres, Diego
      Patent No.: 11,650,551
      Issue Date: May 16, 2023
    • Title: "System and Design of Derivative-free Model Learning for Robotic Systems"
      Inventors: Romeres, Diego; Libera, Alberto Dalla; Jha, Devesh; Nikovski, Daniel Nikolaev
      Patent No.: 11,389,957
      Issue Date: Jul 19, 2022
    • Title: "System and Method for Automatic Error Recovery in Robotic Assembly"
      Inventors: Nikovski, Daniel Nikolaev; Jha, Devesh; Romeres, Diego
      Patent No.: 11,161,244
      Issue Date: Nov 2, 2021
    • Title: "Predictive Classification of Future Operations"
      Inventors: Jha, Devesh; Zhang, Wenyu; Laftchiev, Emil; Nikovski, Daniel N.
      Patent No.: 10,996,664
      Issue Date: May 4, 2021
    • Title: "System and Method for Control Constrained Operation of Machine with Partially Unmodeled Dynamics Using Lipschitz Constant"
      Inventors: Chakrabarty, Ankush; Jha, Devesh; Wang, Yebin
      Patent No.: 10,895,854
      Issue Date: Jan 19, 2021
    • Title: "Vehicle Automated Parking System and Method"
      Inventors: Wang, Yebin; Jha, Devesh
      Patent No.: 9,969,386
      Issue Date: May 15, 2018
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