Harish Ravichandar

According to our database, Harish Ravichandar authored at least 47 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

Sam Scheele, Pierce Howell, Harish Ravichandar

CoRR, 2023

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

Yunhai Han, Mandy Xie, Ye Zhao, Harish Ravichandar

CoRR, 2023

Inferring Implicit Trait Preferences for Task Allocation in Heterogeneous Teams.

Vivek Mallampati, Harish Ravichandar

CoRR, 2023

Constrained Reinforcement Learning for Dexterous Manipulation.

Abhineet Jain, Jack Kolb, Harish Ravichandar

CoRR, 2023

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

Sukriti Singh, Anusha Srikanthan, Vivek Mallampati, Harish Ravichandar

Proceedings of the Robotics: Science and Systems XIX, Daegu, 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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 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

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.

Reza Joseph Torbati, Shubham Lohiya, Shivika Singh, Meher Shashwat Nigam, Harish Ravichandar

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Risk-Tolerant Task Allocation and Scheduling in Heterogeneous Multi-Robot Teams.

Jinwoo Park, Andrew Messing, Harish Ravichandar, Seth Hutchinson

IROS, 2023

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

Pierce Howell, Jack Kolb, Yifan Liu, Harish Ravichandar

IROS, 2023

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

Pierce Howell, Max Rudolph, Reza Joseph Torbati, Kevin Fu, Harish Ravichandar

Proceedings of the Conference on Robot Learning, 2023

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

Yunhai Han, Mandy Xie, Ye Zhao, Harish Ravichandar

Proceedings of the Conference on Robot Learning, 2023

Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogeneous Teams.

Vivek Mallampati, Harish Ravichandar

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

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

Andrew Messing, Glen Neville, Sonia Chernova, Seth Hutchinson, Harish Ravichandar

Int. J. Robotics Res., 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

Leveraging Cognitive States in Human-Robot Teaming.

Jack Kolb, Harish Ravichandar, Sonia Chernova

Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 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

Proceedings of the Conference on Robot Learning, 2022

Resource-Aware Adaptation of Heterogeneous Strategies for Coalition Formation.

Anusha Srikanthan, Harish Ravichandar

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Resource-Aware Generalization of Heterogeneous Strategies for Coalition Formation.

Anusha Srikanthan, Harish Ravichandar

CoRR, 2021

Predicting Individual Human Performance in Human-Robot Teaming.

Jack Kolb, Mayank Kishore, Kenneth Shaw, Harish Ravichandar, Sonia Chernova

Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation.

Max Rudolph, Sonia Chernova, Harish Ravichandar

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

An Interleaved Approach to Trait-Based Task Allocation and Scheduling.

Glen Neville, Andrew Messing, Harish Ravichandar, Seth Hutchinson, Sonia Chernova

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization.

Abhinav Jain, Daphne Chen, Dhruva Bansal, David Kent, Harish Ravichandar, Sonia Chernova

CoRR, 2020

Recent Advances in Robot Learning from Demonstration.

Harish Ravichandar, Athanasios S. Polydoros, Sonia Chernova, Aude Billard

Annu. Rev. Control. Robotics Auton. Syst., 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

Approximated Dynamic Trait Models for Heterogeneous Multi-Robot Teams.

Glen Neville, Harish Ravichandar, Kenneth Shaw, Sonia Chernova

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization.

Abhinav Jain, Daphne Chen, Dhruva Bansal, Sam Scheele, Mayank Kishore, Hritik Sapra, David Kent, Harish Ravichandar, Sonia Chernova

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations.

Kevin Chen, Nithin Shrivatsav Srikanth, David Kent, Harish Ravichandar, Sonia Chernova

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Inferring and Learning Multi-Robot Policies by Observing an Expert.

Pietro Pierpaoli, Harish Ravichandar, Nicholas R. Waytowich, Anqi Li, Derrik E. Asher, Magnus Egerstedt

CoRR, 2019

STRATA: A Unified Framework for Task Assignments in Large Teams of Heterogeneous Robots.

Harish Ravichandar, Kenneth Shaw, Sonia Chernova

CoRR, 2019

Learning position and orientation dynamics from demonstrations via contraction analysis.

Harish Chaandar Ravichandar, Ashwin P. Dani

Auton. Robots, 2019

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

Siddhartha Banerjee, Angel Andres Daruna, David Kent, Weiyu Liu, Jonathan C. Balloch, Abhinav Jain, Akshay Krishnan, Muhammad Asif Rana, Harish Ravichandar, Binit Shah, Nithin Shrivatsav Srikanth, Sonia Chernova

Proceedings of the Robotics Research, 2019

Skill Acquisition via Automated Multi-Coordinate Cost Balancing.

Harish Ravichandar, Seyed Reza Ahmadzadeh, Muhammad Asif Rana, Sonia Chernova

Proceedings of the International Conference on Robotics and Automation, 2019

Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations.

Muhammad Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan D. Ratliff

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

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 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

Proceedings of the 2018 Annual American Control Conference, 2018

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 Partially Contracting Dynamical Systems from Demonstrations.

Harish Chaandar Ravichandar, Iman Salehi, Ashwin P. Dani

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.

Harish Chaandar Ravichandar, Avnish Kumar, Ashwin P. Dani

Proceedings of the 19th International Conference on Information Fusion, 2016

Learning and synchronization of movement primitives for bimanual manipulation tasks.

Pavan Kumar Thota, Harish Chaandar Ravichandar, Ashwin P. Dani

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Learning periodic motions from human demonstrations using transverse contraction analysis.

Harish Chaandar Ravichandar, Pavan Kumar Thota, Ashwin P. Dani

Proceedings of the 2016 American Control Conference, 2016

Learning and Predicting Sequential Tasks Using Recurrent Neural Networks and Multiple Model Filtering.

Harish Chaandar Ravichandar, Avnish Kumar, Ashwin P. Dani, Krishna R. Pattipati

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2015

Human intention inference through interacting multiple model filtering.

Harish Chaandar Ravichandar, Ashwin P. Dani

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.

Harish Chaandar Ravichandar, Ashwin P. Dani

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.

Harish Chaandar Ravichandar, Ashwin P. Dani

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014