Harish Ravichandar

Assistant Professor

CV
cv
Twitter
GitHub
Google Scholar
Website
Email
harish.ravichandarobfuscate@cc.gatech.edu

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).

He works on structured algorithms that help robots reliably operate and collaborate in unstructured environments alongside humans. His research interests span the areas of robot learning, human-robot interaction, and multi-agent systems. Harish’s work has been recognized by the ASME DSCC Best Student Robotics Paper Award (2015), IEEE CSS Video Contest Award (2015), UTC Institute for Advanced System Engineering Graduate Fellowship (2016-2018), and Georgia Tech’s College of Computing Outstanding Post-Doctoral Research Award (2019) and Outstanding Research Scientist Award (2020).

Papers

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