Devesh K. Jha
- Phone: 617-621-7513
- Email:
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Position:
Research / Technical Staff
Principal Research Scientist -
Education:
Ph.D., Pennsylvania State University, 2016 -
Research Areas:
External Links:
Devesh's Quick Links
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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.
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Recent News & Events
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NEWS MERL Researchers Presented Six Papers at the 2022 IEEE Conference on Decision and Control (CDC’22) Date: December 6, 2022 - December 9, 2022
Where: Cancún, Mexico
MERL Contacts: Mouhacine Benosman; Karl Berntorp; Ankush Chakrabarty; Marcus Greiff; Devesh K. Jha; Arvind Raghunathan; Diego Romeres; Yebin Wang
Research Areas: Control, OptimizationBrief- MERL researchers presented six papers at the Conference on Decision and Control that was held in Cancún, Mexico from December 6-9, 2022. The papers covered a broad range of topics in the areas of decision making and control, including Bayesian optimization, quadratic programming, solution of differential equations, distributed Kalman filtering, thermal monitoring of batteries, and closed-loop control optimization.
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NEWS Invited talk at The Penn State Seminar Series on Systems, Control, and Robotics. Date: October 20, 2022
Where: University Park, PA
MERL Contact: Devesh K. Jha
Research Areas: Artificial Intelligence, Control, RoboticsBrief- Devesh Jha, a Principal Research Scientist in the Data Analytics Group at MERL, delivered an invited talk at The Penn State Seminar Series on Systems, Control and Robotics. This talk presented some of the recent work done at MERL in the areas of optimization and control for robotic manipulation in unstructured environment.
See All News & Events for Devesh -
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Awards
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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, RoboticsBrief- 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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MERL Publications
- , "Tactile-Filter: Interactive Tactile Perception for Part Mating", arXiv, March 2023.
- , "Tactile Tool Manipulation", arXiv, January 2023.
- , "Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/CDC51059.2022.9992979, December 2022, pp. 7571-7578.BibTeX TR2022-157 PDF
- @inproceedings{Raghunathan2022dec,
- author = {Raghunathan, Arvind and Jha, Devesh K. and Romeres, Diego},
- title = {Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs},
- booktitle = {IEEE 61st Conference on Decision and Control (CDC), Cancun, Mexico},
- year = 2022,
- pages = {7571--7578},
- month = dec,
- doi = {10.1109/CDC51059.2022.9992979},
- url = {https://www.merl.com/publications/TR2022-157}
- }
- , "Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control", arXiv, December 2022.BibTeX arXiv
- @article{Jha2022dec,
- author = {Jha, Devesh K. and Jain, Siddarth and Romeres, Diego and Yerazunis, William S. and Nikovski, Daniel},
- title = {Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control},
- journal = {arXiv},
- year = 2022,
- month = dec,
- url = {https://arxiv.org/abs/2212.01434}
- }
- , "Active Exploration for Robotic Manipulation", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2022.BibTeX TR2022-139 PDF
- @inproceedings{Schneider2022oct,
- author = {Schneider, Tim and Belousov, Boris and Chalvatzaki, Georgia and Romeres, Diego and Jha, Devesh K. and Peters, Jan},
- title = {Active Exploration for Robotic Manipulation},
- booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
- year = 2022,
- month = oct,
- url = {https://www.merl.com/publications/TR2022-139}
- }
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Software Downloads
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Videos
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Simultaneous Tactile Estimation and Control of Extrinsic Contact
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Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization
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Tactile-Filter: Interactive Tactile Perception for Part Mating
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Tactile tool manipulation
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Application of Deep Learning for Nanophotonic Device Design (Invited)
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Towards Human-Level Learning of Complex Physical Puzzles
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Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry
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Deep Reactive Planning in Dynamic Environments
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MERL Issued Patents
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Title: "System and Design of Derivative-free Model Learning for Robotic Systems"
Inventors: Romeres, Diego; Dalla Libera, Alberto; Jha, Devesh; Nikovski, Daniel N.
Patent No.: 11,389,957
Issue Date: Jul 19, 2022 -
Title: "System and Method for Automatic Error Recovery in Robotic Assembly"
Inventors: Nikovski, Daniel N.; 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"
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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Title: "System and Design of Derivative-free Model Learning for Robotic Systems"
