Devesh 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 New robotics benchmark system Date: November 16, 2020
MERL Contacts: Devesh Jha; Daniel Nikovski; Diego Romeres; Alan Sullivan; Jeroen van Baar
Research Areas: Artificial Intelligence, Machine Learning, RoboticsBrief- MERL researchers, in collaboration with researchers from MELCO and the Department of Brain and Cognitive Science at MIT, have released simulation software Circular Maze Environment (CME). This system could be used as a new benchmark for evaluating different control and robot learning algorithms. The control objective in this system is to tip and the tilt the maze so as to drive one (or multiple) marble(s) to the innermost ring of the circular maze. Although the system is very intuitive for humans to control, it is very challenging for artificial intelligence agents to learn efficiently. It poses several challenges for both model-based as well as model-free methods, due to its non-smooth dynamics, long planning horizon, and non-linear dynamics. The released Python package provides the simulation environment for the circular maze, where movement of multiple marbles could be simulated simultaneously. The package also provides a trajectory optimization algorithm to design a model-based controller in simulation.
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NEWS Devesh Jha appointed as an Associate Editor for IEEE Robotics and Automation Letters (RA-L). Date: October 29, 2020
MERL Contact: Devesh Jha
Research Areas: Artificial Intelligence, Machine Learning, Optimization, RoboticsBrief- MERL Researcher Devesh Jha has been appointed to the editorial board of the IEEE Robotics and Automation Letters (RA-L) as an Associate Editor. IEEE RA-L publishes peer-reviewed articles in the areas of robotics and automation which can also be presented at the annual flagship conferences of RAS like ICRA, IROS and CASE.
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 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
- "Deep Neural Networks for Inverse Design of Nanophotonic Devices", IEEE Journal of Lightwave Technology, January 2021.BibTeX TR2021-001 PDF
- @article{Kojima2021jan,
- author = {Kojima, Keisuke and TaherSima, Mohammad and Koike-Akino, Toshiaki and Jha, Devesh and Tang, Yingheng and Wang, Ye and Parsons, Kieran},
- title = {Deep Neural Networks for Inverse Design of Nanophotonic Devices},
- journal = {IEEE Journal of Lightwave Technology},
- year = 2021,
- month = jan,
- url = {https://www.merl.com/publications/TR2021-001}
- }
, - "Sampling-based Algorithms for Feedback Motion Planning", IEEE/CAA Journal of Automatica Sinica, December 2020.BibTeX
- @article{Jha2020dec,
- author = {Jha, Devesh and Wang, Yebin and Zhu, Minghui},
- title = {Sampling-based Algorithms for Feedback Motion Planning},
- journal = {IEEE/CAA Journal of Automatica Sinica},
- year = 2020,
- month = dec
- }
, - "Towards Human-Level Learning of Complex Physical Puzzles", arXiv, December 2020.BibTeX
- @article{Ota2020dec,
- author = {Ota, Kei and Jha, Devesh and Romeres, Diego and van Baar, Jeroen and Smith, Kevin and Semistsu, Takayuki and Oiki, Tomoaki and Sullivan, Alan and Nikovski, Daniel N. and Tenanbaum, Joshua},
- title = {Towards Human-Level Learning of Complex Physical Puzzles},
- journal = {arXiv},
- year = 2020,
- month = dec
- }
, - "Deep Reactive Planning in Dynamic Environments", Conference on Robot Learning (CoRL), November 2020.BibTeX TR2020-144 PDF
- @inproceedings{Ota2020nov2,
- author = {Ota, Kei and Jha, Devesh and Onishi, Tadashi and Kanezaki, Asako and Yoshiyasu, Yusuke and Mariyama, Toshisada and Nikovski, Daniel N.},
- title = {Deep Reactive Planning in Dynamic Environments},
- booktitle = {Conference on Robot Learning (CoRL)},
- year = 2020,
- month = nov,
- url = {https://www.merl.com/publications/TR2020-144}
- }
, - "Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry", arXiv, November 2020.BibTeX
- @article{Dong2020nov,
- author = {Dong, Siyuan and Jha, Devesh and Romeres, Diego and Kim, Sangwoon and Nikovski, Daniel N. and Rodriguez, Alberto},
- title = {Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry},
- journal = {arXiv},
- year = 2020,
- month = nov
- }
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- "Deep Neural Networks for Inverse Design of Nanophotonic Devices", IEEE Journal of Lightwave Technology, January 2021.
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Software Downloads
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Videos
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MERL Issued Patents
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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: "Compact Photonic Devices"
Inventors: Kojima, Keisuke; Tahersima, Mohammad; Koike-Akino, Toshiaki; Jha, Devesh; Wang, Bingnan; Lin, Chungwei; Parsons, Kieran
Patent No.: 10,859,769
Issue Date: Dec 8, 2020 -
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 Method for Control Constrained Operation of Machine with Partially Unmodeled Dynamics"