Devesh K. Jha - RankMe

132 papers A* 18A 10C 13Misc 4Journal 74Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Non-Prehensile Manipulation With Force and Vision Feedback Using Optimization-Based Demonstrations. IEEE Robotics Autom. Lett. Yuki Shirai, Kei Ota, Devesh K. Jha, Diego Romeres
2026	J	`jnl`	PPGuide: Steering Diffusion Policies with Performance Predictive Guidance. CoRR Zixing Wang, Devesh K. Jha, Ahmed H. Qureshi, Diego Romeres
2026	J	`jnl`	Simultaneous Extrinsic Contact and In-Hand Pose Estimation via Distributed Tactile Sensing. IEEE Robotics Autom. Lett. Mark Van der Merwe, Kei Ota, Dmitry Berenson, Nima Fazeli, Devesh K. Jha
2025	A	`conf`	Analytic Conditions for Differentiable Collision Detection in Trajectory Optimization. IROS Akshay Jaitly, Devesh K. Jha, Kei Ota, Yuki Shirai
2025	J	`jnl`	Analytic Conditions for Differentiable Collision Detection in Trajectory Optimization. CoRR Akshay Jaitly, Devesh K. Jha, Kei Ota, Yuki Shirai
2025	A*	`conf`	FDPP: Fine-Tune Diffusion Policy with Human Preference. ICRA Yuxin Chen, Devesh K. Jha, Masayoshi Tomizuka, Diego Romeres
2025	J	`jnl`	FDPP: Fine-tune Diffusion Policy with Human Preference. CoRR Yuxin Chen, Devesh K. Jha, Masayoshi Tomizuka, Diego Romeres
2025	J	`jnl`	Find the Fruit: Designing a Zero-Shot Sim2Real Deep RL Planner for Occlusion Aware Plant Manipulation. CoRR Nitesh Subedi, Hsin-Jung Yang, Devesh K. Jha, Soumik Sarkar
2025	A*	`conf`	Hierarchical Contact-Rich Trajectory Optimization for Multi-Modal Manipulation Using Tight Convex Relaxations. ICRA Yuki Shirai, Arvind U. Raghunathan, Devesh K. Jha
2025	J	`jnl`	Hierarchical Contact-Rich Trajectory Optimization for Multi-Modal Manipulation using Tight Convex Relaxations. CoRR Yuki Shirai, Arvind U. Raghunathan, Devesh K. Jha
2025	J	`jnl`	In-Context Iterative Policy Improvement for Dynamic Manipulation. CoRR Mark Van der Merwe, Devesh K. Jha
2025	Misc	`conf`	Interactive Robot Action Replanning using Multimodal LLM Trained from Human Demonstration Videos. ICASSP Chiori Hori, Motonari Kambara, Komei Sugiura, Kei Ota, Sameer Khurana, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2025	J	`jnl`	Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations. CoRR Yuki Shirai, Kei Ota, Devesh K. Jha, Diego Romeres
2025	Misc	`conf`	Modality Selection and Skill Segmentation via Cross-Modality Attention. MVA Jiawei Jiang, Kei Ota, Devesh K. Jha, Asako Kanezaki
2025	J	`jnl`	Modality Selection and Skill Segmentation via Cross-Modality Attention. CoRR Jiawei Jiang, Kei Ota, Devesh K. Jha, Asako Kanezaki
2025	J	`jnl`	PyRoboCOP: Python-Based Robotic Control and Optimization Package for Manipulation and Collision Avoidance. IEEE Trans Autom. Sci. Eng. Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2025	A	`conf`	RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation. IROS Shivam Vats, Devesh K. Jha, Maxim Likhachev, Oliver Kroemer, Diego Romeres
2025	C	`conf`	Robot Confirmation Generation and Action Planning Using Long-context Q-Former Integrated with Multimodal LLM. ASRU Chiori Hori, Yoshiki Masuyama, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2025	J	`jnl`	Robot Confirmation Generation and Action Planning Using Long-context Q-Former Integrated with Multimodal LLM. CoRR Chiori Hori, Yoshiki Masuyama, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2025	J	`jnl`	Simultaneous Extrinsic Contact and In-Hand Pose Estimation via Distributed Tactile Sensing. CoRR Mark Van der Merwe, Kei Ota, Dmitry Berenson, Nima Fazeli, Devesh K. Jha
2025	J	`jnl`	Simultaneous Trajectory Optimization and Contact Selection for Contact-Rich Manipulation With High-Fidelity Geometry. IEEE Trans. Robotics Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
2024	J	`jnl`	A framework for training larger networks for deep Reinforcement learning. Mach. Learn. Kei Ota, Devesh K. Jha, Asako Kanezaki
2024	A	`conf`	Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. IROS Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres
2024	J	`jnl`	Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. CoRR Kei Ota, Devesh K. Jha, Siddarth Jain, Bill Yerazunis, Radu Corcodel, Yash Shukla, Antonia Bronars, Diego Romeres
2024	A*	`conf`	Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks. ICRA Lingfeng Sun, Devesh K. Jha, Chiori Hori, Siddarth Jain, Radu Corcodel, Xinghao Zhu, Masayoshi Tomizuka, Diego Romeres
2024	A*	`conf`	Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection. ICRA Xinghao Zhu, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Anoop Cherian
2024	J	`jnl`	Path Generation Based on Electrostatic Equipotential Curves. IEEE Access Chungwei Lin, Yebin Wang, William T. Vetterling, Devesh K. Jha, Rien Quirynen
2024	J	`jnl`	RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation. CoRR Shivam Vats, Devesh K. Jha, Maxim Likhachev, Oliver Kroemer, Diego Romeres
2024	A*	`conf`	Robust In-Hand Manipulation with Extrinsic Contacts. ICRA Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha
2024	J	`jnl`	Robust In-Hand Manipulation with Extrinsic Contacts. CoRR Boyuan Liang, Kei Ota, Masayoshi Tomizuka, Devesh K. Jha
2024	J	`jnl`	Robust Pivoting Manipulation Using Contact Implicit Bilevel Optimization. IEEE Trans. Robotics Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
2024	J	`jnl`	Simultaneous Trajectory Optimization and Contact Selection for Contact-rich Manipulation with High-Fidelity Geometry. CoRR Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
2024	A*	`conf`	Tactile Estimation of Extrinsic Contact Patch for Stable Placement. ICRA Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum
2024	J	`jnl`	iPolicy: Incremental Policy Algorithms for Feedback Motion Planning. CoRR Guoxiang Zhao, Devesh K. Jha, Yebin Wang, Minghui Zhu
2023	J	`jnl`	A Virtual Reality Teleoperation Interface for Industrial Robot Manipulators. CoRR Eric Rosen, Devesh K. Jha
2023	C	`conf`	Chance-Constrained Optimization in Contact-rich Systems. ACC Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2023	A	`conf`	Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
2023	A*	`conf`	Covariance Steering for Uncertain Contact-rich Systems. ICRA Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
2023	J	`jnl`	Covariance Steering for Uncertain Contact-rich Systems. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
2023	—	`conf`	Design of Adaptive Compliance Controllers for Safe Robotic Assembly. ECC Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
2023	—	`conf`	Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. ECC Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
2023	J	`jnl`	Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks. CoRR Lingfeng Sun, Devesh K. Jha, Chiori Hori, Siddarth Jain, Radu Corcodel, Xinghao Zhu, Masayoshi Tomizuka, Diego Romeres
2023	J	`jnl`	L$^{3}$ F-TOUCH: A Wireless GelSight With Decoupled Tactile and Three-Axis Force Sensing. IEEE Robotics Autom. Lett. Wanlin Li, Meng Wang, Jiarui Li, Yao Su, Devesh K. Jha, Xinyuan Qian, Kaspar Althoefer, Hangxin Liu
2023	J	`jnl`	Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection. CoRR Xinghao Zhu, Devesh K. Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Anoop Cherian
2023	J	`jnl`	Robust Pivoting Manipulation using Contact Implicit Bilevel Optimization. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan
2023	A*	`conf`	Simultaneous Tactile Estimation and Control of Extrinsic Contact. ICRA Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez
2023	J	`jnl`	Simultaneous Tactile Estimation and Control of Extrinsic Contact. CoRR Sangwoon Kim, Devesh K. Jha, Diego Romeres, Parag Patre, Alberto Rodriguez
2023	—	`conf`	Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. Robotics: Science and Systems Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
2023	J	`jnl`	Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. CoRR Mengchao Zhang, Devesh K. Jha, Arvind U. Raghunathan, Kris Hauser
2023	J	`jnl`	Style-transfer based Speech and Audio-visual Scene Understanding for Robot Action Sequence Acquisition from Videos. CoRR Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2023	A	`conf`	Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos. INTERSPEECH Chiori Hori, Puyuan Peng, David Harwath, Xinyu Liu, Kei Ota, Siddarth Jain, Radu Corcodel, Devesh K. Jha, Diego Romeres, Jonathan Le Roux
2023	J	`jnl`	Tactile Estimation of Extrinsic Contact Patch for Stable Placement. CoRR Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum
2023	A*	`conf`	Tactile Tool Manipulation. ICRA Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong
2023	J	`jnl`	Tactile Tool Manipulation. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Dennis W. Hong
2023	—	`conf`	Tactile-Filter: Interactive Tactile Perception for Part Mating. Robotics: Science and Systems Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum
2023	J	`jnl`	Tactile-Filter: Interactive Tactile Perception for Part Mating. CoRR Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum
2022	A	`conf`	Active Exploration for Robotic Manipulation. IROS Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters
2022	J	`jnl`	Active Exploration for Robotic Manipulation. CoRR Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters
2022	J	`jnl`	Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2022	J	`jnl`	Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
2022	J	`jnl`	Design of Adaptive Compliance Controllers for Safe Robotic Assembly. CoRR Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
2022	J	`jnl`	Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. CoRR Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
2022	—	`conf`	Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. CDC Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2022	—	`conf`	Imitation and Supervised Learning of Compliance for Robotic Assembly. ECC Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
2022	J	`jnl`	Learning robot motor skills with mixed reality. CoRR Eric Rosen, Sreehari Rammohan, Devesh K. Jha
2022	J	`jnl`	PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. CoRR Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2022	A*	`conf`	PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. ICRA Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2022	A*	`conf`	Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. ICRA Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2022	J	`jnl`	Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. CoRR Yuki Shirai, Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2021	J	`jnl`	Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2021	J	`jnl`	Distributed Task Allocation in Homogeneous Swarms Using Language Measure Theory. CoRR Devesh K. Jha
2021	J	`jnl`	Imitation and Supervised Learning of Compliance for Robotic Assembly. CoRR Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
2021	J	`jnl`	Markov Modeling of Time-Series Data using Symbolic Analysis. CoRR Devesh K. Jha
2021	J	`jnl`	PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. CoRR Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres
2021	J	`jnl`	Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation. IEEE Trans. Neural Networks Learn. Syst. Ankush Chakrabarty, Devesh K. Jha, Gregery T. Buzzard, Yebin Wang, Kyriakos G. Vamvoudakis
2021	A*	`conf`	Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. ICRA Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
2021	J	`jnl`	Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. CoRR Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
2021	J	`jnl`	Training Larger Networks for Deep Reinforcement Learning. CoRR Kei Ota, Devesh K. Jha, Asako Kanezaki
2021	A*	`conf`	Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. ICRA Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka
2021	J	`jnl`	Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. CoRR Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka
2020	A	`conf`	CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. IROS Wenyu Zhang, Skyler Seto, Devesh K. Jha
2020	J	`jnl`	CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. CoRR Wenyu Zhang, Skyler Seto, Devesh K. Jha
2020	A*	`conf`	Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
2020	J	`jnl`	Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? CoRR Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
2020	—	`conf`	Deep Neural Networks for Designing Integrated Photonics. OFC Keisuke Kojima, Mohammad H. Tahersima, Toshiaki Koike-Akino, Devesh K. Jha, Yingheng Tang, Ye Wang, Kieran Parsons, Fengqiao Sang, Jonathan Klamkin
2020	Misc	`conf`	Deep Reactive Planning in Dynamic Environments. CoRL Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
2020	J	`jnl`	Deep Reactive Planning in Dynamic Environments. CoRR Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
2020	A	`conf`	Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. IROS Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki
2020	J	`jnl`	Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. CoRR Kei Ota, Yoko Sasaki, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki
2020	—	`conf`	Generative Deep Learning Model for a Multi-Level Nano-Optic Broadband Power Splitter. OFC Yingheng Tang, Keisuke Kojima, Toshiaki Koike-Akino, Ye Wang, Pengxiang Wu, Mohammad H. Tahersima, Devesh K. Jha, Kieran Parsons, Minghao Qi
2020	A*	`conf`	Local Policy Optimization for Trajectory-Centric Reinforcement Learning. ICRA Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
2020	J	`jnl`	Local Policy Optimization for Trajectory-Centric Reinforcement Learning. CoRR Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
2020	J	`jnl`	Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. CoRR Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
2020	J	`jnl`	Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. IEEE Robotics Autom. Lett. Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
2020	J	`jnl`	Multi-label Prediction in Time Series Data using Deep Neural Networks. CoRR Wenyu Zhang, Devesh K. Jha, Emil Laftchiev, Daniel Nikovski
2020	J	`jnl`	Towards Human-Level Learning of Complex Physical Puzzles. CoRR Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2020	J	`jnl`	Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks. CoRR Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski
2019	—	`conf`	Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. ECC Diego Romeres, Devesh K. Jha, William Yerazunis, Daniel Nikovski, Hoang Anh Dau
2019	C	`conf`	Data-Driven Control Policies for Partially Known Systems via Kernelized Lipschitz Learning. ACC Ankush Chakrabarty, Devesh K. Jha, Yebin Wang
2019	—	`conf`	Deep Neural Network Inverse Modeling for Integrated Photonics. OFC Mohammad H. Tahersima, Keisuke Kojima, Toshiaki Koike-Akino, Devesh K. Jha, Bingnan Wang, Chungwei Lin, Kieran Parsons
2019	A*	`conf`	Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. ICML Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha
2019	J	`jnl`	Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. CoRR Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha
2019	J	`jnl`	Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. CoRR Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex
2019	Misc	`conf`	Quasi-Newton Trust Region Policy Optimization. CoRL Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2019	J	`jnl`	Quasi-Newton Trust Region Policy Optimization. CoRR Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres
2019	J	`jnl`	Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation. CoRR Ankush Chakrabarty, Devesh K. Jha, Gregery T. Buzzard, Yebin Wang, Kyriakos G. Vamvoudakis
2019	A*	`conf`	Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. ICRA Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, Bill Yerazunis, Daniel Nikovski
2019	J	`jnl`	Sequential hypothesis tests for streaming data via symbolic time-series analysis. Eng. Appl. Artif. Intell. Nurali Virani, Devesh K. Jha, Asok Ray, Shashi Phoha
2019	A*	`conf`	Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. ICRA Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
2019	A	`conf`	Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. IROS Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
2019	J	`jnl`	Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. CoRR Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
2018	A	`conf`	Algorithms for Task Allocation in Homogeneous Swarm of Robots. IROS Devesh K. Jha
2018	J	`jnl`	Information-Theoretic Performance Analysis of Sensor Networks via Markov Modeling of Time Series Data. IEEE Trans. Cybern. Yue Li, Devesh K. Jha, Asok Ray, Thomas A. Wettergren
2018	—	`ch.`	Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities. Handbook of Dynamic Data Driven Applications Systems Devesh K. Jha, Nurali Virani, Asok Ray
2018	J	`jnl`	Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. CoRR Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, William Yerazunis, Daniel Nikovski
2018	J	`jnl`	Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. CoRR Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
2018	J	`jnl`	Symbolic analysis-based reduced order Markov modeling of time series data. Signal Process. Devesh K. Jha, Nurali Virani, Jan Reimann, Abhishek Srivastav, Asok Ray
2017	—	`conf`	A two-stage RRT path planner for automated parking. CASE Yebin Wang, Devesh K. Jha, Yukiyasu Akemi
2017	J	`jnl`	Information Fusion of Passive Sensors for Detection of Moving Targets in Dynamic Environments. IEEE Trans. Cybern. Yue Li, Devesh K. Jha, Asok Ray, Thomas A. Wettergren
2017	—	`conf`	Learning to regulate rolling ball motion. SSCI Devesh K. Jha, Daniel Nikovski, William Yerazunis, Amir-massoud Farahmand
2016	C	`conf`	Data-driven anytime algorithms for motion planning with safety guarantees. ACC Devesh K. Jha, Minghui Zhu, Yebin Wang, Asok Ray
2016	C	`conf`	Data-driven robot gait modeling via symbolic time series analysis. ACC Yusuke Seto, Noboru Takahashi, Devesh K. Jha, Nurali Virani, Asok Ray
2016	C	`conf`	Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities. ACC Soumalya Sarkar, Devesh K. Jha, Kin Gwn Lore, Soumik Sarkar, Asok Ray
2016	J	`jnl`	Path planning in GPS-denied environments via collective intelligence of distributed sensor networks. Int. J. Control Devesh K. Jha, Pritthi Chattopadhyay, Soumik Sarkar, Asok Ray
2016	C	`conf`	Sensor selection for passive sensor networks in dynamic environment: A dynamic data-driven approach. ACC Yue Li, Devesh K. Jha, Asok Ray, Thomas A. Wettergren
2016	C	`conf`	Topology control in mobile sensor networks using information space feedback. ACC Kin Gwn Lore, Soumik Sarkar, Devesh K. Jha
2015	C	`conf`	Depth estimation in Markov models of time-series data via spectral analysis. ACC Devesh K. Jha, Abhishek Srivastav, Kushal Mukherjee, Asok Ray
2015	C	`conf`	Dynamic data-driven symbolic causal modeling for battery performance & health monitoring. FUSION Soumalya Sarkar, Devesh K. Jha, Asok Ray, Yue Li
2015	C	`conf`	Feature level sensor fusion for target detection in dynamic environments. ACC Yue Li, Devesh K. Jha, Asok Ray, Thomas A. Wettergren
2015	C	`conf`	Path planning in GPS-denied environments: A collective intelligence approach. ACC Pritthi Chattopadhyay, Devesh K. Jha, Soumik Sarkar, Asok Ray
2015	J	`jnl`	Topology optimisation for energy management in underwater sensor networks. Int. J. Control Devesh K. Jha, Thomas A. Wettergren, Asok Ray, Kushal Mukherjee
2013	C	`conf`	Language measure-theoretic path planning in the presence of dynamic obstacles. ACC Siddharth Sonti, Nurali Virani, Devesh K. Jha, Kushal Mukherjee, Asok Ray