Gyro-aided image-based tracking using mutual information optimization and user inputs. - Harish Chaandar Ravichandar; Ashwin P. Dani (SMC, 2014)

Human intention inference and motion modeling using approximate E-M with online learning. - Harish Chaandar Ravichandar; Ashwin P. Dani (IROS, 2015)

Human intention inference through interacting multiple model filtering. - Harish Chaandar Ravichandar; Ashwin P. Dani (MFI, 2015)

Learning and Predicting Sequential Tasks Using Recurrent Neural Networks and Multiple Model Filtering. - Harish Chaandar Ravichandar; Avnish Kumar; Ashwin P. Dani; Krishna R. Pattipati (AAAI Fall Symposia, 2016)

Learning periodic motions from human demonstrations using transverse contraction analysis. - Harish Chaandar Ravichandar; Pavan Kumar Thota; Ashwin P. Dani (ACC, 2016)

Learning and synchronization of movement primitives for bimanual manipulation tasks. - Pavan Kumar Thota; Harish Chaandar Ravichandar; Ashwin P. Dani (CDC, 2016)

Bayesian human intention inference through multiple model filtering with gaze-based priors. - Harish Chaandar Ravichandar; Avnish Kumar; Ashwin P. Dani (FUSION, 2016)

Learning Partially Contracting Dynamical Systems from Demonstrations. - Harish Chaandar Ravichandar; Iman Salehi; Ashwin P. Dani (CoRL, 2017)

Human Intention Inference Using Expectation-Maximization Algorithm With Online Model Learning. - Harish Chaandar Ravichandar; Ashwin P. Dani (IEEE Trans Autom. Sci. Eng., 2017)

Learning Stable Nonlinear Dynamical Systems with External Inputs using Gaussian Mixture Models. - Harish Chaandar Ravichandar; Iman Salehi; Brian P. Baillie; George M. Bollas; Ashwin P. Dani (ACC, 2018)

Gaze and motion information fusion for human intention inference. - Harish Chaandar Ravichandar; Avnish Kumar; Ashwin P. Dani (Int. J. Intell. Robotics Appl., 2018)

Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations. - Muhammad Asif Rana; Anqi Li 001; Harish Ravichandar; Mustafa Mukadam; Sonia Chernova; Dieter Fox; Byron Boots; Nathan D. Ratliff (CoRL, 2019)

Skill Acquisition via Automated Multi-Coordinate Cost Balancing. - Harish Ravichandar; Seyed Reza Ahmadzadeh; Muhammad Asif Rana; Sonia Chernova (ICRA, 2019)

Taking Recoveries to Task: Recovery-Driven Development for Recipe-Based Robot Tasks. - Siddhartha Banerjee; Angel Andres Daruna; David Kent 001; Weiyu Liu; Jonathan C. Balloch; Abhinav Jain 002; Akshay Krishnan; Muhammad Asif Rana; Harish Ravichandar; Binit Shah; Nithin Shrivatsav Srikanth; Sonia Chernova (ISRR, 2019)

Learning position and orientation dynamics from demonstrations via contraction analysis. - Harish Chaandar Ravichandar; Ashwin P. Dani (Auton. Robots, 2019)

STRATA: A Unified Framework for Task Assignments in Large Teams of Heterogeneous Robots. - Harish Ravichandar; Kenneth Shaw; Sonia Chernova (CoRR, 2019)

Inferring and Learning Multi-Robot Policies by Observing an Expert. - Pietro Pierpaoli; Harish Ravichandar; Nicholas R. Waytowich; Anqi Li 001; Derrik E. Asher; Magnus Egerstedt (CoRR, 2019)

Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations. - Kevin Chen; Nithin Shrivatsav Srikanth; David Kent 001; Harish Ravichandar; Sonia Chernova (CoRL, 2020)

Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization. - Abhinav Jain 002; Daphne Chen; Dhruva Bansal; Sam Scheele; Mayank Kishore; Hritik Sapra; David Kent 001; Harish Ravichandar; Sonia Chernova (IROS, 2020)

Approximated Dynamic Trait Models for Heterogeneous Multi-Robot Teams. - Glen Neville; Harish Ravichandar; Kenneth Shaw; Sonia Chernova (IROS, 2020)

STRATA: unified framework for task assignments in large teams of heterogeneous agents. - Harish Ravichandar; Kenneth Shaw; Sonia Chernova (Auton. Agents Multi Agent Syst., 2020)

Recent Advances in Robot Learning from Demonstration. - Harish Ravichandar; Athanasios S. Polydoros; Sonia Chernova; Aude Billard (Annu. Rev. Control. Robotics Auton. Syst., 2020)

Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization. - Abhinav Jain 002; Daphne Chen; Dhruva Bansal; David Kent 001; Harish Ravichandar; Sonia Chernova (CoRR, 2020)

An Interleaved Approach to Trait-Based Task Allocation and Scheduling. - Glen Neville; Andrew Messing; Harish Ravichandar; Seth Hutchinson 001; Sonia Chernova (IROS, 2021)

Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation. - Max Rudolph; Sonia Chernova; Harish Ravichandar (IROS, 2021)

Predicting Individual Human Performance in Human-Robot Teaming. - Jack Kolb; Mayank Kishore; Kenneth Shaw; Harish Ravichandar; Sonia Chernova (RO-MAN, 2021)

Resource-Aware Generalization of Heterogeneous Strategies for Coalition Formation. - Anusha Srikanthan; Harish Ravichandar (CoRR, 2021)

Resource-Aware Adaptation of Heterogeneous Strategies for Coalition Formation. - Anusha Srikanthan; Harish Ravichandar (AAMAS, 2022)

Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration. - Mandy Xie; Ankur Handa; Stephen Tyree; Dieter Fox; Harish Ravichandar; Nathan D. Ratliff; Karl Van Wyk (CoRL, 2022)

Leveraging Cognitive States in Human-Robot Teaming. - Jack Kolb; Harish Ravichandar; Sonia Chernova (RO-MAN, 2022)

Evaluating the Effectiveness of Corrective Demonstrations and a Low-Cost Sensor for Dexterous Manipulation. - Abhineet Jain; Jack Kolb; J. M. Abbess IV; Harish Ravichandar (CoRR, 2022)

GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling. - Andrew Messing; Glen Neville; Sonia Chernova; Seth Hutchinson 001; Harish Ravichandar (Int. J. Robotics Res., 2022)

Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogeneous Teams. - Vivek Mallampati; Harish Ravichandar (AAMAS, 2023)

On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills. - Yunhai Han; Mandy Xie; Ye Zhao 002; Harish Ravichandar (CoRL, 2023)

Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities. - Pierce Howell; Max Rudolph; Reza Joseph Torbati; Kevin Fu; Harish Ravichandar (CoRL, 2023)

The Effects of Robot Motion on Comfort Dynamics of Novice Users in Close-Proximity Human-Robot Interaction. - Pierce Howell; Jack Kolb; Yifan Liu 019; Harish Ravichandar (IROS, 2023)

Risk-Tolerant Task Allocation and Scheduling in Heterogeneous Multi-Robot Teams. - Jinwoo Park; Andrew Messing; Harish Ravichandar; Seth Hutchinson 001 (IROS, 2023)

MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms. - Reza Joseph Torbati; Shubham Lohiya; Shivika Singh; Meher Shashwat Nigam; Harish Ravichandar (MRS, 2023)

Benefits of Multi-Objective Trajectory Adaptation in Close-Proximity Human-Robot Interaction. - Oscar Jed Chuy; Hritik Sapra; Xiang Zhi Tan; Harish Ravichandar; Sonia Chernova (RO-MAN, 2023)

A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty. - Andrew Messing; Jacopo Banfi; Martina Stadler; Ethan Stump; Harish Ravichandar; Nicholas Roy; Seth Hutchinson 001 (Robotics: Science and Systems, 2023)

Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation. - Sukriti Singh; Anusha Srikanthan; Vivek Mallampati; Harish Ravichandar (Robotics: Science and Systems, 2023)

Constrained Reinforcement Learning for Dexterous Manipulation. - Abhineet Jain; Jack Kolb; Harish Ravichandar (CoRR, 2023)

Inferring Implicit Trait Preferences for Task Allocation in Heterogeneous Teams. - Vivek Mallampati; Harish Ravichandar (CoRR, 2023)

Fast Anticipatory Motion Planning for Close-Proximity Human-Robot Interaction. - Sam Scheele; Pierce Howell; Harish Ravichandar (CoRR, 2023)

MARBLER: An Open Platform for Standarized Evaluation of Multi-Robot Reinforcement Learning Algorithms. - Reza Torbati; Shubham Lohiya; Shivika Singh; Meher Shashwat Nigam; Harish Ravichandar (CoRR, 2023)

D-ITAGS: A Dynamic Interleaved Approach to Resilient Task Allocation, Scheduling, and Motion Planning. - Glen Neville; Sonia Chernova; Harish Ravichandar (IEEE Robotics Autom. Lett., 2023)

KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation. - Hongyi Chen; Abulikemu Abuduweili; Aviral Agrawal; Yunhai Han; Harish Ravichandar; Changliu Liu; Jeffrey Ichnowski (CoRL, 2024)

Learning Prehensile Dexterity by Imitating and Emulating State-only Observations. - Yunhai Han; Zhenyang Chen; Harish Ravichandar (CoRR, 2024)

Q-ITAGS: Quality-Optimized Spatio-Temporal Heterogeneous Task Allocation with a Time Budget. - Glen Neville; Jiazhen Liu; Sonia Chernova; Harish Ravichandar (CoRR, 2024)

Learning Koopman Dynamics for Safe Legged Locomotion with Reinforcement Learning-based Controller. - Jeonghwan Kim; Yunhai Han; Harish Ravichandar; Sehoon Ha (CoRR, 2024)

AsymDex: Leveraging Asymmetry and Relative Motion in Learning Bimanual Dexterity. - Zhaodong Yang; Yunhai Han; Harish Ravichandar (CoRR, 2024)

On the Surprising Effectiveness of Spectrum Clipping in Learning Stable Linear Dynamics. - Hanyao Guo; Yunhai Han; Harish Ravichandar (CoRR, 2024)

Learning Prehensile Dexterity by Imitating and Emulating State-Only Observations. - Yunhai Han; Zhenyang Chen; Kyle A. Williams; Harish Ravichandar (IEEE Robotics Autom. Lett., 2024)

Learning Flexible Heterogeneous Coordination With Capability-Aware Shared Hypernetworks. - Kevin Fu; Pierce Howell; Shalin Jain; Harish Ravichandar (AAMAS, 2025)

Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination. - Siva Kailas; Shalin Jain; Harish Ravichandar (AAMAS, 2025)

JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes. - Shalin Jain; Jiazhen Liu; Siva Kailas; Harish Ravichandar (CoRR, 2025)