For a more comprehensive list, please check out Harish's Google Scholar page.
You can find open-source code associated with the papers below in our lab's Github profile.

2023

MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms

Torbati et al., MRS 2023 (Best Paper Award).

Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities

Howell et al., CoRL 2023.

On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills

Han et al., CoRL 2023 (Oral).

Risk-Tolerant Task Allocation and Scheduling in Heterogeneous Multi-Robot Team

Park et al., IROS 2023.

D-ITAGS: A Dynamic Interleaved Approach to Resilient Task Allocation, Scheduling, and Motion Planning

Neville et al., RA-L and IROS 2023.

The Effects of Robot Motion on Comfort Dynamics of Novice Users in Close-Proximity Human-Robot Interaction

Howell et al., IROS 2023.

Benefits of Multi-Objective Trajectory Adaptation in Close-Proximity Human-Robot Interaction

Chuy et al., RO-MAN 2023.

Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation

Singh et al., RSS 2023.

A Sampling-based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty

Messing et al., RSS 2023.

Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation

Singh et al., ARMS WS, AAMAS 2023.

Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogenous Teams

Mallampati and Ravichandar, AAMAS 2023.

2022

Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration

Xie et al., CORL 2022

Learning Trait Preferences for Task allocation in Heterogeneous Multi-Agent Teams

Mallampati and Ravichandar, H-MRS WS, IROS 2022

Leveraging Cognitive States in Human-Robot Teaming

Kolb et al., RO-MAN 2022.

Constrained Reinforcement Learning for Dexterous Manipulation

Jain et al., Safe RL WS, IJCAI 2022.

Fast Anticipatory Motion Planning for Close-Proximity Human-Robot Interaction

Scheele et al., CP-HRI WS, RSS 2022

Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration

Xie et al., OAIL WS, RSS 2022

Resource-Aware Adaptation of Heterogeneous Strategies for Coalition Formation

Srikanthan and Ravichandar, AAMAS 2022.

Evaluating the Effectiveness of Corrective Demonstrations and a Low-Cost Sensor for Dexterous Manipulation

Jain et al., MLHRC WS, HRI 2022.

GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling

Messing et al. IJRR 2022.

2021

Resilient Coalition Formation in Heterogeneous Teams via Imitation Learning

Srikanthan et al., IROS Workshop 2021.

Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Coalition Formation

Rudolph et al. IROS 2021.

An Interleaved Approach to Trait-Based Task Allocation and Scheduling

Neville et al. IROS 2021.

Predicting Individual Human Performance in Human-Robot Teaming

Kolb et al. RO-MAN 2021.

STRATA : Unified Framework for Task Assignments in Large Teams of Heterogeneous Agents

Ravichandar et al. AAMAS 2021.

2020

Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations

Chen et al. CoRL 2020.

Human-in-the-Loop Robot Control for Human-Robot Collaboration

Dani et al. CSM 2020.

Approximated Dynamic Trait Models for Heterogeneous Multi-Robot Teams

Neville et al. IROS 2020.

Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization

Jain et al. IROS 2020.

STRATA : Unified Framework for Task Assignments in Large Teams of Heterogeneous Agents

Ravichandar et al. JAAMAS 2020.

Recent Advances in Robot Learning from Demonstration

Ravichandar et al. Annual Reviews 2020.

Learning and Coordination of Movement Primitives for Bimanual Manipulation Tasks Using Concurrent Synchronization

Dani et al. WS-RAIM 2020.

2019

Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations

Rana et al. CoRL 2019.

Taking Recoveries to Task : Recovery-Driven Development for Recipe-based Robot Tasks

Banerjee et al. ISRR 2019.

Skill Acquisition via Automated Multi-Coordinate Cost Balancing

Ravichandar et al. ICRA 2019.

Learning position and orientation dynamics from demonstrations via contraction analysis

Ravichandar et al. AuRo 2019.