Devesh K. Jha
Devesh K. Jha
Principal Research Scientist, MERL
Verified email at - Homepage
Cited by
Cited by
Deep neural network inverse design of integrated photonic power splitters
MH Tahersima, K Kojima, T Koike-Akino, D Jha, B Wang, C Lin, ...
Scientific reports 9 (1), 1368, 2019
Tactile-rl for insertion: Generalization to objects of unknown geometry
S Dong, DK Jha, D Romeres, S Kim, D Nikovski, A Rodriguez
2021 IEEE International Conference on Robotics and Automation (ICRA), 6437-6443, 2021
Information fusion of passive sensors for detection of moving targets in dynamic environments
Y Li, DK Jha, A Ray, TA Wettergren
IEEE transactions on cybernetics 47 (1), 93-104, 2016
Sim-to-real transfer learning using robustified controllers in robotic tasks involving complex dynamics
J Van Baar, A Sullivan, R Cordorel, D Jha, D Romeres, D Nikovski
2019 International Conference on Robotics and Automation (ICRA), 6001-6007, 2019
Generative deep learning model for inverse design of integrated nanophotonic devices
Y Tang, K Kojima, T Koike‐Akino, Y Wang, P Wu, Y Xie, MH Tahersima, ...
Laser & Photonics Reviews 14 (12), 2000287, 2020
Can increasing input dimensionality improve deep reinforcement learning?
K Ota, T Oiki, D Jha, T Mariyama, D Nikovski
International conference on machine learning, 7424-7433, 2020
Training larger networks for deep reinforcement learning
K Ota, DK Jha, A Kanezaki
arXiv preprint arXiv:2102.07920, 2021
Trajectory optimization for unknown constrained systems using reinforcement learning
K Ota, DK Jha, T Oiki, M Miura, T Nammoto, D Nikovski, T Mariyama
2019 IEEE/RSJ international conference on intelligent robots and systems …, 2019
Semiparametrical gaussian processes learning of forward dynamical models for navigating in a circular maze
D Romeres, DK Jha, A DallaLibera, B Yerazunis, D Nikovski
2019 International Conference on Robotics and Automation (ICRA), 3195-3202, 2019
Deep neural networks for inverse design of nanophotonic devices
K Kojima, MH Tahersima, T Koike-Akino, DK Jha, Y Tang, Y Wang, ...
Journal of Lightwave Technology 39 (4), 1010-1019, 2021
A two-stage RRT path planner for automated parking
Y Wang, DK Jha, Y Akemi
2017 13th IEEE conference on automation science and engineering (CASE), 496-502, 2017
Efficient exploration in constrained environments with goal-oriented reference path
K Ota, Y Sasaki, DK Jha, Y Yoshiyasu, A Kanezaki
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Symbolic analysis-based reduced order Markov modeling of time series data
DK Jha, N Virani, J Reimann, A Srivastav, A Ray
Signal Processing 149, 68-81, 2018
Trajectory optimization for manipulation of deformable objects: Assembly of belt drive units
S Jin, D Romeres, A Ragunathan, DK Jha, M Tomizuka
2021 IEEE International Conference on Robotics and Automation (ICRA), 10002 …, 2021
Vehicle automated parking system and method
Y Wang, D Jha
US Patent 9,969,386, 2018
Safe approximate dynamic programming via kernelized lipschitz estimation
A Chakrabarty, DK Jha, GT Buzzard, Y Wang, KG Vamvoudakis
IEEE transactions on neural networks and learning systems 32 (1), 405-419, 2020
Generative deep learning model for a multi-level nano-optic broadband power splitter
Y Tang, K Kojima, T Koike-Akino, Y Wang, P Wu, M Tahersima, D Jha, ...
Optical Fiber Communication Conference, Th1A. 1, 2020
Path planning in GPS-denied environments via collective intelligence of distributed sensor networks
DK Jha, P Chattopadhyay, S Sarkar, A Ray
International Journal of Control 89 (5), 984-999, 2016
Data-efficient learning for complex and real-time physical problem solving using augmented simulation
K Ota, DK Jha, D Romeres, J van Baar, KA Smith, T Semitsu, T Oiki, ...
IEEE Robotics and Automation Letters 6 (2), 4241-4248, 2021
Feature level sensor fusion for target detection in dynamic environments
Y Li, DK Jha, A Ray, TA Wettergren
2015 American Control Conference (ACC), 2433-2438, 2015
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