Language measure-theoretic path planning in the presence of dynamic obstacles. - Siddharth Sonti; Nurali Virani; Devesh K. Jha; Kushal Mukherjee; Asok Ray (ACC, 2013)

Path planning in GPS-denied environments: A collective intelligence approach. - Pritthi Chattopadhyay; Devesh K. Jha; Soumik Sarkar; Asok Ray (ACC, 2015)

Depth estimation in Markov models of time-series data via spectral analysis. - Devesh K. Jha; Abhishek Srivastav; Kushal Mukherjee; Asok Ray (ACC, 2015)

Feature level sensor fusion for target detection in dynamic environments. - Yue Li 014; Devesh K. Jha; Asok Ray; Thomas A. Wettergren (ACC, 2015)

Dynamic data-driven symbolic causal modeling for battery performance & health monitoring. - Soumalya Sarkar; Devesh K. Jha; Asok Ray; Yue Li 014 (FUSION, 2015)

Topology optimisation for energy management in underwater sensor networks. - Devesh K. Jha; Thomas A. Wettergren; Asok Ray; Kushal Mukherjee (Int. J. Control, 2015)

Data-driven anytime algorithms for motion planning with safety guarantees. - Devesh K. Jha; Minghui Zhu; Yebin Wang; Asok Ray (ACC, 2016)

Sensor selection for passive sensor networks in dynamic environment: A dynamic data-driven approach. - Yue Li 014; Devesh K. Jha; Asok Ray; Thomas A. Wettergren (ACC, 2016)

Topology control in mobile sensor networks using information space feedback. - Kin Gwn Lore; Soumik Sarkar; Devesh K. Jha (ACC, 2016)

Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities. - Soumalya Sarkar; Devesh K. Jha; Kin Gwn Lore; Soumik Sarkar; Asok Ray (ACC, 2016)

Data-driven robot gait modeling via symbolic time series analysis. - Yusuke Seto; Noboru Takahashi; Devesh K. Jha; Nurali Virani; Asok Ray (ACC, 2016)

Path planning in GPS-denied environments via collective intelligence of distributed sensor networks. - Devesh K. Jha; Pritthi Chattopadhyay; Soumik Sarkar; Asok Ray (Int. J. Control, 2016)

A two-stage RRT path planner for automated parking. - Yebin Wang; Devesh K. Jha; Yukiyasu Akemi (CASE, 2017)

Learning to regulate rolling ball motion. - Devesh K. Jha; Daniel Nikovski; William Yerazunis; Amir-massoud Farahmand (SSCI, 2017)

Information Fusion of Passive Sensors for Detection of Moving Targets in Dynamic Environments. - Yue Li 014; Devesh K. Jha; Asok Ray; Thomas A. Wettergren (IEEE Trans. Cybern., 2017)

Algorithms for Task Allocation in Homogeneous Swarm of Robots. - Devesh K. Jha (IROS, 2018)

Symbolic analysis-based reduced order Markov modeling of time series data. - Devesh K. Jha; Nurali Virani; Jan Reimann 001; Abhishek Srivastav; Asok Ray (Signal Process., 2018)

Information-Theoretic Performance Analysis of Sensor Networks via Markov Modeling of Time Series Data. - Yue Li 014; Devesh K. Jha; Asok Ray; Thomas A. Wettergren (IEEE Trans. Cybern., 2018)

Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities. - Devesh K. Jha; Nurali Virani; Asok Ray (Handbook of Dynamic Data Driven Applications Systems, 2018)

Data-Driven Control Policies for Partially Known Systems via Kernelized Lipschitz Learning. - Ankush Chakrabarty; Devesh K. Jha; Yebin Wang (ACC, 2019)

Quasi-Newton Trust Region Policy Optimization. - Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (CoRL, 2019)

Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. - Diego Romeres; Devesh K. Jha; William Yerazunis; Daniel Nikovski; Hoang Anh Dau (ECC, 2019)

Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function. - Arvind U. Raghunathan; Anoop Cherian; Devesh K. Jha (ICML, 2019)

Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. - Jeroen van Baar; Alan Sullivan; Radu Cordorel; Devesh K. Jha; Diego Romeres; Daniel Nikovski (ICRA, 2019)

Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. - Diego Romeres; Devesh K. Jha; Alberto Dalla Libera; Bill Yerazunis; Daniel Nikovski (ICRA, 2019)

Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. - Kei Ota; Devesh K. Jha; Tomoaki Oiki; Mamoru Miura; Takashi Nammoto; Daniel Nikovski; Toshisada Mariyama (IROS, 2019)

Deep Neural Network Inverse Modeling for Integrated Photonics. - Mohammad H. Tahersima; Keisuke Kojima; Toshiaki Koike-Akino; Devesh K. Jha; Bingnan Wang; Chungwei Lin; Kieran Parsons (OFC, 2019)

Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. - Jonathan Chang; Nishanth Kumar; Sean Hastings; Aaron Gokaslan; Diego Romeres; Devesh K. Jha; Daniel Nikovski; George Dimitri Konidaris; Stefanie Tellex (CoRR, 2019)

Sequential hypothesis tests for streaming data via symbolic time-series analysis. - Nurali Virani; Devesh K. Jha; Asok Ray; Shashi Phoha (Eng. Appl. Artif. Intell., 2019)

Deep Reactive Planning in Dynamic Environments. - Kei Ota; Devesh K. Jha; Tadashi Onishi; Asako Kanezaki; Yusuke Yoshiyasu; Yoko Sasaki; Toshisada Mariyama; Daniel Nikovski (CoRL, 2020)

Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? - Kei Ota; Tomoaki Oiki; Devesh K. Jha; Toshisada Mariyama; Daniel Nikovski (ICML, 2020)

Local Policy Optimization for Trajectory-Centric Reinforcement Learning. - Patrik Kolaric; Devesh K. Jha; Arvind U. Raghunathan; Frank L. Lewis; Mouhacine Benosman; Diego Romeres; Daniel Nikovski (ICRA, 2020)

Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path. - Kei Ota; Yoko Sasaki; Devesh K. Jha; Yusuke Yoshiyasu; Asako Kanezaki (IROS, 2020)

CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context. - Wenyu Zhang 003; Skyler Seto; Devesh K. Jha (IROS, 2020)

Deep Neural Networks for Designing Integrated Photonics. - Keisuke Kojima; Mohammad H. Tahersima; Toshiaki Koike-Akino; Devesh K. Jha; Yingheng Tang; Ye Wang 001; Kieran Parsons; Fengqiao Sang; Jonathan Klamkin (OFC, 2020)

Generative Deep Learning Model for a Multi-Level Nano-Optic Broadband Power Splitter. - Yingheng Tang; Keisuke Kojima; Toshiaki Koike-Akino; Ye Wang 001; Pengxiang Wu; Mohammad H. Tahersima; Devesh K. Jha; Kieran Parsons; Minghao Qi (OFC, 2020)

Multi-label Prediction in Time Series Data using Deep Neural Networks. - Wenyu Zhang 003; Devesh K. Jha; Emil Laftchiev; Daniel Nikovski (CoRR, 2020)

Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks. - Yifang Liu; Diego Romeres; Devesh K. Jha; Daniel Nikovski (CoRR, 2020)

Towards Human-Level Learning of Complex Physical Puzzles. - Kei Ota; Devesh K. Jha; Diego Romeres; Jeroen van Baar; Kevin A. Smith 001; Takayuki Semitsu; Tomoaki Oiki; Alan Sullivan; Daniel Nikovski; Joshua B. Tenenbaum (CoRR, 2020)

Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. - Alberto Dalla Libera; Diego Romeres; Devesh K. Jha; Bill Yerazunis; Daniel Nikovski (IEEE Robotics Autom. Lett., 2020)

Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. - Siyuan Dong; Devesh K. Jha; Diego Romeres; Sangwoon Kim; Daniel Nikovski; Alberto Rodriguez 003 (ICRA, 2021)

Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units. - Shiyu Jin; Diego Romeres; Arvind Ragunathan; Devesh K. Jha; Masayoshi Tomizuka (ICRA, 2021)

Training Larger Networks for Deep Reinforcement Learning. - Kei Ota; Devesh K. Jha; Asako Kanezaki (CoRR, 2021)

Markov Modeling of Time-Series Data using Symbolic Analysis. - Devesh K. Jha (CoRR, 2021)

Distributed Task Allocation in Homogeneous Swarms Using Language Measure Theory. - Devesh K. Jha (CoRR, 2021)

PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (CoRR, 2021)

Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. - Kei Ota; Devesh K. Jha; Diego Romeres; Jeroen van Baar; Kevin A. Smith 001; Takayuki Semitsu; Tomoaki Oiki; Alan Sullivan; Daniel Nikovski; Joshua B. Tenenbaum (IEEE Robotics Autom. Lett., 2021)

Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation. - Ankush Chakrabarty; Devesh K. Jha; Gregery T. Buzzard; Yebin Wang; Kyriakos G. Vamvoudakis (IEEE Trans. Neural Networks Learn. Syst., 2021)

Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (CDC, 2022)

Imitation and Supervised Learning of Compliance for Robotic Assembly. - Devesh K. Jha; Diego Romeres; William Yerazunis; Daniel Nikovski (ECC, 2022)

PyROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (ICRA, 2022)

Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (ICRA, 2022)

Active Exploration for Robotic Manipulation. - Tim Schneider; Boris Belousov; Georgia Chalvatzaki; Diego Romeres; Devesh K. Jha; Jan Peters 001 (IROS, 2022)

Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (CoRR, 2022)

Learning robot motor skills with mixed reality. - Eric Rosen; Sreehari Rammohan; Devesh K. Jha (CoRR, 2022)

Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. - Seiji Shaw; Devesh K. Jha; Arvind U. Raghunathan; Radu Corcodel; Diego Romeres; George Konidaris 001; Daniel Nikovski (CoRR, 2022)

Chance-Constrained Optimization in Contact-rich Systems. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Diego Romeres (ACC, 2023)

Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. - Devesh K. Jha; Siddarth Jain; Diego Romeres; William Yerazunis; Daniel Nikovski (ECC, 2023)

Design of Adaptive Compliance Controllers for Safe Robotic Assembly. - Devesh K. Jha; Diego Romeres; Siddarth Jain; William Yerazunis; Daniel Nikovski (ECC, 2023)

Simultaneous Tactile Estimation and Control of Extrinsic Contact. - Sangwoon Kim; Devesh K. Jha; Diego Romeres; Parag Patre; Alberto Rodriguez 003 (ICRA, 2023)

Covariance Steering for Uncertain Contact-rich Systems. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan (ICRA, 2023)

Tactile Tool Manipulation. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan; Dennis W. Hong (ICRA, 2023)

Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos. - Chiori Hori; Puyuan Peng; David Harwath; Xinyu Liu; Kei Ota; Siddarth Jain; Radu Corcodel; Devesh K. Jha; Diego Romeres; Jonathan Le Roux (INTERSPEECH, 2023)

Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. - Seiji Shaw; Devesh K. Jha; Arvind U. Raghunathan; Radu Corcodel; Diego Romeres; George Konidaris 001; Daniel Nikovski (IROS, 2023)

Tactile-Filter: Interactive Tactile Perception for Part Mating. - Kei Ota; Devesh K. Jha; Hsiao-Yu Tung; Joshua B. Tenenbaum (Robotics: Science and Systems, 2023)

Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning. - Mengchao Zhang; Devesh K. Jha; Arvind U. Raghunathan; Kris Hauser (Robotics: Science and Systems, 2023)

A Virtual Reality Teleoperation Interface for Industrial Robot Manipulators. - Eric Rosen; Devesh K. Jha (CoRR, 2023)

Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks. - Lingfeng Sun; Devesh K. Jha; Chiori Hori; Siddarth Jain; Radu Corcodel; Xinghao Zhu; Masayoshi Tomizuka; Diego Romeres (CoRR, 2023)

L$^{3}$ F-TOUCH: A Wireless GelSight With Decoupled Tactile and Three-Axis Force Sensing. - Wanlin Li; Meng Wang 051; Jiarui Li; Yao Su 001; Devesh K. Jha; Xinyuan Qian 001; Kaspar Althoefer; Hangxin Liu (IEEE Robotics Autom. Lett., 2023)

Robust In-Hand Manipulation with Extrinsic Contacts. - Boyuan Liang; Kei Ota; Masayoshi Tomizuka; Devesh K. Jha (ICRA, 2024)

Tactile Estimation of Extrinsic Contact Patch for Stable Placement. - Kei Ota; Devesh K. Jha; Krishna Murthy Jatavallabhula; Asako Kanezaki; Joshua B. Tenenbaum (ICRA, 2024)

Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks. - Lingfeng Sun; Devesh K. Jha; Chiori Hori; Siddarth Jain; Radu Corcodel; Xinghao Zhu; Masayoshi Tomizuka; Diego Romeres (ICRA, 2024)

Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection. - Xinghao Zhu; Devesh K. Jha; Diego Romeres; Lingfeng Sun; Masayoshi Tomizuka; Anoop Cherian (ICRA, 2024)

Autonomous Robotic Assembly: From Part Singulation to Precise Assembly. - Kei Ota; Devesh K. Jha; Siddarth Jain; Bill Yerazunis; Radu Corcodel; Yash Shukla; Antonia Bronars; Diego Romeres (IROS, 2024)

Path Generation Based on Electrostatic Equipotential Curves. - Chungwei Lin; Yebin Wang; William T. Vetterling; Devesh K. Jha; Rien Quirynen (IEEE Access, 2024)

iPolicy: Incremental Policy Algorithms for Feedback Motion Planning. - Guoxiang Zhao; Devesh K. Jha; Yebin Wang; Minghui Zhu (CoRR, 2024)

RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation. - Shivam Vats; Devesh K. Jha; Maxim Likhachev; Oliver Kroemer; Diego Romeres (CoRR, 2024)

Robust Pivoting Manipulation Using Contact Implicit Bilevel Optimization. - Yuki Shirai; Devesh K. Jha; Arvind U. Raghunathan (IEEE Trans. Robotics, 2024)

A framework for training larger networks for deep Reinforcement learning. - Kei Ota; Devesh K. Jha; Asako Kanezaki (Mach. Learn., 2024)

Interactive Robot Action Replanning using Multimodal LLM Trained from Human Demonstration Videos. - Chiori Hori; Motonari Kambara; Komei Sugiura; Kei Ota; Sameer Khurana; Siddarth Jain; Radu Corcodel; Devesh K. Jha; Diego Romeres; Jonathan Le Roux (ICASSP, 2025)

PyRoboCOP: Python-Based Robotic Control and Optimization Package for Manipulation and Collision Avoidance. - Arvind U. Raghunathan; Devesh K. Jha; Diego Romeres (IEEE Trans Autom. Sci. Eng., 2025)

Simultaneous Trajectory Optimization and Contact Selection for Contact-Rich Manipulation With High-Fidelity Geometry. - Mengchao Zhang; Devesh K. Jha; Arvind U. Raghunathan; Kris Hauser (IEEE Trans. Robotics, 2025)

FDPP: Fine-tune Diffusion Policy with Human Preference. - Yuxin Chen; Devesh K. Jha; Masayoshi Tomizuka; Diego Romeres (CoRR, 2025)

Hierarchical Contact-Rich Trajectory Optimization for Multi-Modal Manipulation using Tight Convex Relaxations. - Yuki Shirai; Arvind U. Raghunathan; Devesh K. Jha (CoRR, 2025)

Modality Selection and Skill Segmentation via Cross-Modality Attention. - Jiawei Jiang; Kei Ota; Devesh K. Jha; Asako Kanezaki (CoRR, 2025)

Find the Fruit: Designing a Zero-Shot Sim2Real Deep RL Planner for Occlusion Aware Plant Manipulation. - Nitesh Subedi; Hsin-Jung Yang; Devesh K. Jha; Soumik Sarkar (CoRR, 2025)

Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations. - Yuki Shirai; Kei Ota; Devesh K. Jha; Diego Romeres (CoRR, 2025)