Devesh K. Jha

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 102

Top Venues

Publications

Kei Ota, Devesh K. Jha, Asako Kanezaki
A framework for training larger networks for deep Reinforcement learning. Mach. Learn. 113 (9) (2024)
Guoxiang Zhao, Devesh K. Jha, Yebin Wang, Minghui Zhu
iPolicy: Incremental Policy Algorithms for Feedback Motion Planning. CoRR (2024)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
Robust Pivoting Manipulation Using Contact Implicit Bilevel Optimization. IEEE Trans. Robotics 40 (2024)
Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha
Robust In-Hand Manipulation with Extrinsic Contacts. ICRA (2024)
Xinghao Zhu, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Anoop Cherian
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection. ICRA (2024)
Lingfeng Sun, Devesh K. Jha, Chiori Hori, Siddarth Jain, Radu Corcodel, Xinghao Zhu, Masayoshi Tomizuka, Diego Romeres
Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks. ICRA (2024)
Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha
Robust In-Hand Manipulation with Extrinsic Contacts. CoRR (2024)
Chungwei Lin, Yebin Wang, William T. Vetterling, Devesh K. Jha, Rien Quirynen
Path Generation Based on Electrostatic Equipotential Curves. IEEE Access 12 (2024)
Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres
Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. CoRR (2024)
Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
Simultaneous Trajectory Optimization and Contact Selection for Contact-rich Manipulation with High-Fidelity Geometry. CoRR (2024)
Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. ICRA (2024)
Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. CoRR (2023)
Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez
Simultaneous Tactile Estimation and Control of Extrinsic Contact. ICRA (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
Covariance Steering for Uncertain Contact-rich Systems. CoRR (2023)
Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum
Tactile-Filter: Interactive Tactile Perception for Part Mating. CoRR (2023)
Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum
Tactile-Filter: Interactive Tactile Perception for Part Mating. Robotics: Science and Systems (2023)
Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS (2023)
Lingfeng Sun, Devesh K. Jha, Chiori Hori, Siddarth Jain, Radu Corcodel, Xinghao Zhu, Masayoshi Tomizuka, Diego Romeres
Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks. CoRR (2023)
Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. CoRR (2023)
Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez
Simultaneous Tactile Estimation and Control of Extrinsic Contact. CoRR (2023)
Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos. CoRR (2023)
Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. Robotics: Science and Systems (2023)
Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. ECC (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong
Tactile Tool Manipulation. CoRR (2023)
Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos. INTERSPEECH (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
Covariance Steering for Uncertain Contact-rich Systems. ICRA (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization. CoRR (2023)
Eric Rosen, Devesh K. Jha
A Virtual Reality Teleoperation Interface for Industrial Robot Manipulators. CoRR (2023)
Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
Design of Adaptive Compliance Controllers for Safe Robotic Assembly. ECC (2023)
Wanlin Li, Meng Wang, Jiarui Li, Yao Su, Devesh K. Jha, Xinyuan Qian, Kaspar Althoefer, Hangxin Liu
L$^{3}$ F-TOUCH: A Wireless GelSight With Decoupled Tactile and Three-Axis Force Sensing. IEEE Robotics Autom. Lett. 8 (8) (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Chance-Constrained Optimization in Contact-rich Systems. ACC (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong
Tactile Tool Manipulation. ICRA (2023)
Xinghao Zhu, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Anoop Cherian
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection. CoRR (2023)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. ICRA (2022)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. CoRR (2022)
Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters
Active Exploration for Robotic Manipulation. CoRR (2022)
Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR (2022)
Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
Design of Adaptive Compliance Controllers for Safe Robotic Assembly. CoRR (2022)
Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. CoRR (2022)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. ICRA (2022)
Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. CoRR (2022)
Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters
Active Exploration for Robotic Manipulation. IROS (2022)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. CDC (2022)
Eric Rosen, Sreehari Rammohan, Devesh K. Jha
Learning robot motor skills with mixed reality. CoRR (2022)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. CoRR (2022)
Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
Imitation and Supervised Learning of Compliance for Robotic Assembly. ECC (2022)
Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
Imitation and Supervised Learning of Compliance for Robotic Assembly. CoRR (2021)
Devesh K. Jha
Markov Modeling of Time-Series Data using Symbolic Analysis. CoRR (2021)
Devesh K. Jha
Distributed Task Allocation in Homogeneous Swarms Using Language Measure Theory. CoRR (2021)
Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka
Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. CoRR (2021)
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. 6 (2) (2021)
Ankush Chakrabarty, Devesh K. Jha, Gregery T. Buzzard, Yebin Wang, Kyriakos G. Vamvoudakis
Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Kei Ota, Devesh K. Jha, Asako Kanezaki
Training Larger Networks for Deep Reinforcement Learning. CoRR (2021)
Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. CoRR (2021)
Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. CoRR (2021)
Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. ICRA (2021)
Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka
Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. ICRA (2021)
Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
Deep Reactive Planning in Dynamic Environments. CoRR (2020)
Wenyu Zhang, Skyler Seto, Devesh K. Jha
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. CoRR (2020)
Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
Deep Reactive Planning in Dynamic Environments. CoRL (2020)
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
Towards Human-Level Learning of Complex Physical Puzzles. CoRR (2020)
Keisuke Kojima, Mohammad H. Tahersima, Toshiaki Koike-Akino, Devesh K. Jha, Yingheng Tang, Ye Wang, Kieran Parsons, Fengqiao Sang, Jonathan Klamkin
Deep Neural Networks for Designing Integrated Photonics. OFC (2020)
Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. CoRR (2020)
Yingheng Tang, Keisuke Kojima, Toshiaki Koike-Akino, Ye Wang, Pengxiang Wu, Mohammad H. Tahersima, Devesh K. Jha, Kieran Parsons, Minghao Qi
Generative Deep Learning Model for a Multi-Level Nano-Optic Broadband Power Splitter. OFC (2020)
Wenyu Zhang, Devesh K. Jha, Emil Laftchiev, Daniel Nikovski
Multi-label Prediction in Time Series Data using Deep Neural Networks. CoRR (2020)
Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. CoRR (2020)
Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML (2020)
Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks. CoRR (2020)
Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki
Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. IROS (2020)
Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. IEEE Robotics Autom. Lett. 5 (2) (2020)
Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? CoRR (2020)
Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. ICRA (2020)
Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. CoRR (2020)
Wenyu Zhang, Skyler Seto, Devesh K. Jha
CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. IROS (2020)
Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. ICRA (2019)
Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, Bill Yerazunis, Daniel Nikovski
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. ICRA (2019)
Mohammad H. Tahersima, Keisuke Kojima, Toshiaki Koike-Akino, Devesh K. Jha, Bingnan Wang, Chungwei Lin, Kieran Parsons
Deep Neural Network Inverse Modeling for Integrated Photonics. OFC (2019)
Ankush Chakrabarty, Devesh K. Jha, Yebin Wang
Data-Driven Control Policies for Partially Known Systems via Kernelized Lipschitz Learning. ACC (2019)
Ankush Chakrabarty, Devesh K. Jha, Gregery T. Buzzard, Yebin Wang, Kyriakos G. Vamvoudakis
Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation. CoRR (2019)
Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. CoRR (2019)
Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. CoRR (2019)
Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Quasi-Newton Trust Region Policy Optimization. CoRR (2019)
Diego Romeres, Devesh K. Jha, William Yerazunis, Daniel Nikovski, Hoang Anh Dau
Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. ECC (2019)
Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. ICML (2019)
Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. IROS (2019)
Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
Quasi-Newton Trust Region Policy Optimization. CoRL (2019)
Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. CoRR (2019)
Nurali Virani, Devesh K. Jha, Asok Ray, Shashi Phoha
Sequential hypothesis tests for streaming data via symbolic time-series analysis. Eng. Appl. Artif. Intell. 81 (2019)
Devesh K. Jha, Nurali Virani, Jan Reimann, Abhishek Srivastav, Asok Ray
Symbolic analysis-based reduced order Markov modeling of time series data. Signal Process. 149 (2018)
Yue Li, Devesh K. Jha, Asok Ray, Thomas A. Wettergren
Information-Theoretic Performance Analysis of Sensor Networks via Markov Modeling of Time Series Data. IEEE Trans. Cybern. 48 (6) (2018)
Devesh K. Jha
Algorithms for Task Allocation in Homogeneous Swarm of Robots. IROS (2018)
Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, William Yerazunis, Daniel Nikovski
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. CoRR (2018)
Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. CoRR (2018)
Yue Li, Devesh K. Jha, Asok Ray, Thomas A. Wettergren
Information Fusion of Passive Sensors for Detection of Moving Targets in Dynamic Environments. IEEE Trans. Cybern. 47 (1) (2017)
Devesh K. Jha, Daniel Nikovski, William Yerazunis, Amir-massoud Farahmand
Learning to regulate rolling ball motion. SSCI (2017)
Yebin Wang, Devesh K. Jha, Yukiyasu Akemi
A two-stage RRT path planner for automated parking. CASE (2017)
Kin Gwn Lore, Soumik Sarkar, Devesh K. Jha
Topology control in mobile sensor networks using information space feedback. ACC (2016)
Yue Li, Devesh K. Jha, Asok Ray, Thomas A. Wettergren
Sensor selection for passive sensor networks in dynamic environment: A dynamic data-driven approach. ACC (2016)
Soumalya Sarkar, Devesh K. Jha, Kin Gwn Lore, Soumik Sarkar, Asok Ray
Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities. ACC (2016)
Devesh K. Jha, Minghui Zhu, Yebin Wang, Asok Ray
Data-driven anytime algorithms for motion planning with safety guarantees. ACC (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Devesh K. Jha