Harish is an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology. He is also a core faculty member of Georgia Tech’s Institute for Robotics and Intelligent Machines (IRIM).
Harish and his team build structured computational and learning frameworks that contain appropriate inductive biases to improve robots’ efficiency, reliability, and generalizability. His research is motivated by and pertinent to diverse robotics applications, ranging from dexterous manipulation to multi-agent coordination. His work has been recognized by NSF CAREER Award, IEEE MRS Best Paper Award, ASME DSCC Best Student Paper Award, IEEE CSS Video Contest Award, UTC Institute for Advanced System Engineering Graduate Fellowship, and Georgia Tech’s College of Computing Outstanding Post-Doctoral Research and Outstanding Research Scientist Awards.
Papers
Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination, Autonomous Agents and Multi-Agent Systems (AAMAS) - Extended Abstract, 2025
Learning Flexible Heterogeneous Coordination With Capability-Aware Shared Hypernetworks, Autonomous Agents and Multi-Agent Systems (AAMAS) - Extended Abstract, 2025
Q-ITAGS: Quality-Optimized Spatio-Temporal Heterogeneous Task Allocation with a Time Budget, International Symposium of Robotics Research (ISRR), 2024
AsymDex: Leveraging Asymmetry and Relative Motion in Learning Bimanual Dexterity, Workshop on Whole-body Control and Bimanual Manipulation: Applications in Humanoids and Beyond, Conference on Robot Learning (CoRL), 2024
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation, Conference on Robot Learning (CoRL), 2024
Learning Prehensile Dexterity by Imitating and Emulating State-only Observations, IEEE Robotics and Automation Letters, 2024
MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms, International Symposium on Multi-Robot & Multi-Agent Systems (MRS) - Best Paper Award, 2023
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities, Conference on Robot Learning (CoRL), 2023
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills, Conference on Robot Learning (CoRL) - Oral, 2023
Risk-Tolerant Task Allocation and Scheduling in Heterogeneous Multi-Robot Team, International Conference on Intelligent Robots and Systems (IROS), 2023
D-ITAGS: A Dynamic Interleaved Approach to Resilient Task Allocation, Scheduling, and Motion Planning, IEEE Robotics and Automation Letters (RA-L) and International Conference on Intelligent Robots and Systems (IROS), 2023
The Effects of Robot Motion on Comfort Dynamics of Novice Users in Close-Proximity Human-Robot Interaction, International Conference on Intelligent Robots and Systems (IROS), 2023
Benefits of Multi-Objective Trajectory Adaptation in Close-Proximity Human-Robot Interaction, IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation, Robotics: Science and Systems (RSS), 2023
A Sampling-based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty, Robotics: Science and Systems (RSS), 2023
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation, Workshop on Autonomous Robots and Multirobot Systems (ARMS), Autonomous Agents and Multi-Agent Systems (AAMAS), 2023
Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogenous Teams, Autonomous Agents and Multi-Agent Systems (AAMAS) - Extended Abstract, 2023
Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration, Cornference on Robot Learning (CoRL), 2022
Learning Trait Preferences for Task allocation in Heterogeneous Multi-Agent Teams, Workshop on Human-Multi-Robot Systems, International Conference on Intelligent Robots and Systems (IROS), 2022
Leveraging Cognitive States in Human-Robot Teaming, IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2022
Constrained Reinforcement Learning for Dexterous Manipulation, International Workshop on Safe Reinforcement Learning, International Joint Conference on Artificial Intelligence (IJCAI), 2022
Fast Anticipatory Motion Planning for Close-Proximity Human-Robot Interaction, Workshop on Close Proximity Human-Robot Collaboration, Robotics: Science and Systems (RSS), 2022
Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration, Workshop on Overlooked Aspects of Imitation Learning, Robotics: Science and Systems (RSS), 2022
Resource-Aware Adaptation of Heterogeneous Strategies for Coalition Formation, Autonomous Agents and Multi-Agent Systems (AAMAS) - Extended Abstract, 2022
Evaluating the Effectiveness of Corrective Demonstrations and a Low-Cost Sensor for Dexterous Manipulation, Machine Learning in Human-Robot Collaboration (MLHRC) Workshop, ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2022
GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling, International Journal of Robotics Research (IJRR), 2022
Resilient Coalition Formation in Heterogeneous Teams via Imitation Learning, Workshop on Cognitive and Social Aspects of Human Multi-Robot Interaction, IROS, 2021
Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Coalition Formation, International Conference on Intelligent Robots and Systems (IROS), 2021
An Interleaved Approach to Trait-Based Task Allocation and Scheduling, International Conference on Intelligent Robots and Systems (IROS), 2021
Predicting Individual Human Performance in Human-Robot Teaming, IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2021
STRATA : Unified Framework for Task Assignments in Large Teams of Heterogeneous Agents, International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)– JAAMAS track, 2021
Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations, Conference on Robot Learning (CoRL), 2020
Human-in-the-Loop Robot Control for Human-Robot Collaboration, IEEE Control Systems Magazine, 2020
Approximated Dynamic Trait Models for Heterogeneous Multi-Robot Teams, International Conference on Intelligent Robots and Systems (IROS), 2020
Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization, International Conference on Intelligent Robots and Systems (IROS), 2020
STRATA : Unified Framework for Task Assignments in Large Teams of Heterogeneous Agents, Autonomous Agents and Multi-Agent Systems (JAAMAS), 2020
Recent Advances in Robot Learning from Demonstration, Annual Review of Control, Robotics, and Autonomous Systems, 2020
Learning and Coordination of Movement Primitives for Bimanual Manipulation Tasks Using Concurrent Synchronization, World Scientific Series: Recent Advances in Industrial Manufacturing, 2020
Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations, Conference on Robot Learning (CoRL), 2019
Taking Recoveries to Task : Recovery-Driven Development for Recipe-based Robot Tasks, International Symposium on Robotics Research (ISRR), 2019
Skill Acquisition via Automated Multi-Coordinate Cost Balancing, International Conference on Robotics and Automation (ICRA), 2019
Learning position and orientation dynamics from demonstrations via contraction analysis, Autonomous Robots (AuRo), 2019
