Harish Ravichandar
Orcid: 0000-0002-6635-2637Affiliations:
- Georgia Institute of Technology, GA, USA
According to our database1,
Harish Ravichandar
authored at least 53 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Robotics Autom. Lett., October, 2024
On the Surprising Effectiveness of Spectrum Clipping in Learning Stable Linear Dynamics.
CoRR, 2024
CoRR, 2024
Learning Koopman Dynamics for Safe Legged Locomotion with Reinforcement Learning-based Controller.
CoRR, 2024
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation.
CoRR, 2024
Q-ITAGS: Quality-Optimized Spatio-Temporal Heterogeneous Task Allocation with a Time Budget.
CoRR, 2024
CoRR, 2024
2023
D-ITAGS: A Dynamic Interleaved Approach to Resilient Task Allocation, Scheduling, and Motion Planning.
IEEE Robotics Autom. Lett., 2023
MARBLER: An Open Platform for Standarized Evaluation of Multi-Robot Reinforcement Learning Algorithms.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Benefits of Multi-Objective Trajectory Adaptation in Close-Proximity Human-Robot Interaction.
Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023
MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms.
Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023
IROS, 2023
The Effects of Robot Motion on Comfort Dynamics of Novice Users in Close-Proximity Human-Robot Interaction.
IROS, 2023
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities.
Proceedings of the Conference on Robot Learning, 2023
Proceedings of the Conference on Robot Learning, 2023
Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogeneous Teams.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling.
Int. J. Robotics Res., 2022
Evaluating the Effectiveness of Corrective Demonstrations and a Low-Cost Sensor for Dexterous Manipulation.
CoRR, 2022
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022
Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration.
Proceedings of the Conference on Robot Learning, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
CoRR, 2021
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
2020
CoRR, 2020
Annu. Rev. Control. Robotics Auton. Syst., 2020
STRATA: unified framework for task assignments in large teams of heterogeneous agents.
Auton. Agents Multi Agent Syst., 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
Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations.
Proceedings of the 4th Conference on Robot Learning, 2020
2019
STRATA: A Unified Framework for Task Assignments in Large Teams of Heterogeneous Robots.
CoRR, 2019
Learning position and orientation dynamics from demonstrations via contraction analysis.
Auton. Robots, 2019
Proceedings of the Robotics Research, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
2018
Int. J. Intell. Robotics Appl., 2018
Learning Stable Nonlinear Dynamical Systems with External Inputs using Gaussian Mixture Models.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Human Intention Inference Using Expectation-Maximization Algorithm With Online Model Learning.
IEEE Trans Autom. Sci. Eng., 2017
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017
2016
Bayesian human intention inference through multiple model filtering with gaze-based priors.
Proceedings of the 19th International Conference on Information Fusion, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Learning periodic motions from human demonstrations using transverse contraction analysis.
Proceedings of the 2016 American Control Conference, 2016
Learning and Predicting Sequential Tasks Using Recurrent Neural Networks and Multiple Model Filtering.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016
2015
Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2015
Human intention inference and motion modeling using approximate E-M with online learning.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
2014
Gyro-aided image-based tracking using mutual information optimization and user inputs.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014