Devesh K. Jha
Orcid: 0000-0002-7843-9545
According to our database1,
Devesh K. Jha
authored at least 80 papers
between 2013 and 2024.
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Bibliography
2024
Mach. Learn., September, 2024
IEEE Trans. Robotics, 2024
CoRR, 2024
Simultaneous Trajectory Optimization and Contact Selection for Contact-rich Manipulation with High-Fidelity Geometry.
CoRR, 2024
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Interactive Planning Using Large Language Models for Partially Observable Robotic Tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
L$^{3}$ F-TOUCH: A Wireless GelSight With Decoupled Tactile and Three-Axis Force Sensing.
IEEE Robotics Autom. Lett., 2023
Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks.
CoRR, 2023
CoRR, 2023
Simultaneous Trajectory Optimization and Contact Selection for Multi-Modal Manipulation Planning.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments.
IROS, 2023
Style-transfer based Speech and Audio-visual Scene understanding for Robot Action Sequence Acquisition from Videos.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the European Control Conference, 2023
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control.
Proceedings of the European Control Conference, 2023
Proceedings of the American Control Conference, 2023
2022
CoRR, 2022
CoRR, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the European Control Conference, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation.
IEEE Robotics Autom. Lett., 2021
PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance.
CoRR, 2021
CoRR, 2021
Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements.
IEEE Robotics Autom. Lett., 2020
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks.
CoRR, 2020
Generative Deep Learning Model for a Multi-Level Nano-Optic Broadband Power Splitter.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
2019
Eng. Appl. Artif. Intell., 2019
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control.
CoRR, 2019
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning.
Proceedings of the 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.
Proceedings of the International Conference on Robotics and Automation, 2019
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models.
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
Data-Driven Control Policies for Partially Known Systems via Kernelized Lipschitz Learning.
Proceedings of the 2019 American Control Conference, 2019
2018
Markov Modeling of Time Series via Spectral Analysis for Detection of Combustion Instabilities.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018
Information-Theoretic Performance Analysis of Sensor Networks via Markov Modeling of Time Series Data.
IEEE Trans. Cybern., 2018
Signal Process., 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
2017
Information Fusion of Passive Sensors for Detection of Moving Targets in Dynamic Environments.
IEEE Trans. Cybern., 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
Path planning in GPS-denied environments via collective intelligence of distributed sensor networks.
Int. J. Control, 2016
Proceedings of the 2016 American Control Conference, 2016
Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
Sensor selection for passive sensor networks in dynamic environment: A dynamic data-driven approach.
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Int. J. Control, 2015
Dynamic data-driven symbolic causal modeling for battery performance & health monitoring.
Proceedings of the 18th International Conference on Information Fusion, 2015
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
2013
Proceedings of the American Control Conference, 2013