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ORCIDHarish Ravichandar
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- affiliation: Georgia Institute of Technology, GA, USA
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2020 – today
- 2024
[j8]Yunhai Han
, Zhenyang Chen, Kyle A Williams, Harish Ravichandar:
Learning Prehensile Dexterity by Imitating and Emulating State-Only Observations. IEEE Robotics Autom. Lett. 9(10): 8266-8273 (2024)- [i24]Pierce Howell, Max Rudolph, Reza Torbati, Kevin Fu, Harish Ravichandar:
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities. CoRR abs/2401.13127 (2024) - [i23]Yunhai Han, Zhenyang Chen, Harish Ravichandar:
Learning Prehensile Dexterity by Imitating and Emulating State-only Observations. CoRR abs/2404.05582 (2024) - [i22]Glen Neville, Jiazhen Liu, Sonia Chernova, Harish Ravichandar:
Q-ITAGS: Quality-Optimized Spatio-Temporal Heterogeneous Task Allocation with a Time Budget. CoRR abs/2404.07902 (2024) - [i21]Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal, Yunhai Han, Harish Ravichandar, Changliu Liu, Jeffrey Ichnowski:
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation. CoRR abs/2407.00548 (2024) - [i20]Jeonghwan Kim, Yunhai Han, Harish Ravichandar, Sehoon Ha:
Learning Koopman Dynamics for Safe Legged Locomotion with Reinforcement Learning-based Controller. CoRR abs/2409.14736 (2024) - [i19]Zhaodong Yang, Yunhai Han, Harish Ravichandar:
AsymDex: Leveraging Asymmetry and Relative Motion in Learning Bimanual Dexterity. CoRR abs/2411.13020 (2024) - [i18]Hanyao Guo, Yunhai Han, Harish Ravichandar:
On the Surprising Effectiveness of Spectrum Clipping in Learning Stable Linear Dynamics. CoRR abs/2412.01168 (2024) - 2023
- [j7]Glen Neville, Sonia Chernova, Harish Ravichandar:
D-ITAGS: A Dynamic Interleaved Approach to Resilient Task Allocation, Scheduling, and Motion Planning. IEEE Robotics Autom. Lett. 8(2): 1037-1044 (2023) - [c31]Vivek Mallampati, Harish Ravichandar:
Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogeneous Teams. AAMAS 2023: 2798-2800 - [c30]Yunhai Han, Mandy Xie, Ye Zhao, Harish Ravichandar:
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills. CoRL 2023: 106-126 - [c29]Pierce Howell, Max Rudolph, Reza Joseph Torbati, Kevin Fu, Harish Ravichandar:
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities. CoRL 2023: 2772-2790 - [c28]Jinwoo Park, Andrew Messing, Harish Ravichandar, Seth Hutchinson:
Risk-Tolerant Task Allocation and Scheduling in Heterogeneous Multi-Robot Teams. IROS 2023: 5372-5379 - [c27]Pierce Howell, Jack Kolb, Yifan Liu, Harish Ravichandar:
The Effects of Robot Motion on Comfort Dynamics of Novice Users in Close-Proximity Human-Robot Interaction. IROS 2023: 9859-9864 - [c26]Reza Joseph Torbati, Shubham Lohiya, Shivika Singh, Meher Shashwat Nigam, Harish Ravichandar:
MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms. MRS 2023: 57-63 - [c25]Oscar Jed Chuy, Hritik Sapra, Xiang Zhi Tan, Harish Ravichandar, Sonia Chernova:
Benefits of Multi-Objective Trajectory Adaptation in Close-Proximity Human-Robot Interaction. RO-MAN 2023: 2156-2161 - [c24]Andrew Messing, Jacopo Banfi, Martina Stadler, Ethan Stump, Harish Ravichandar, Nicholas Roy, Seth Hutchinson:
A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty. Robotics: Science and Systems 2023 - [c23]Sukriti Singh, Anusha Srikanthan, Vivek Mallampati, Harish Ravichandar:
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation. Robotics: Science and Systems 2023 - [i17]Abhineet Jain, Jack Kolb, Harish Ravichandar:
Constrained Reinforcement Learning for Dexterous Manipulation. CoRR abs/2301.09766 (2023) - [i16]Vivek Mallampati, Harish Ravichandar:
Inferring Implicit Trait Preferences for Task Allocation in Heterogeneous Teams. CoRR abs/2302.10817 (2023) - [i15]Yunhai Han, Mandy Xie, Ye Zhao, Harish Ravichandar:
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills. CoRR abs/2303.13446 (2023) - [i14]Sam Scheele, Pierce Howell, Harish Ravichandar:
Fast Anticipatory Motion Planning for Close-Proximity Human-Robot Interaction. CoRR abs/2305.11978 (2023) - [i13]Sukriti Singh, Anusha Srikanthan, Vivek Mallampati, Harish Ravichandar:
Concurrent Constrained Optimization of Unknown Rewards for Multi-Robot Task Allocation. CoRR abs/2305.15288 (2023) - [i12]Reza Torbati, Shubham Lohiya, Shivika Singh, Meher Shashwat Nigam, Harish Ravichandar:
MARBLER: An Open Platform for Standarized Evaluation of Multi-Robot Reinforcement Learning Algorithms. CoRR abs/2307.03891 (2023) - [i11]Pierce Howell, Jack Kolb, Yifan Liu, Harish Ravichandar:
The Effects of Robot Motion on Comfort Dynamics of Novice Users in Close-Proximity Human-Robot Interaction. CoRR abs/2308.01466 (2023) - 2022
- [j6]Andrew Messing, Glen Neville, Sonia Chernova, Seth Hutchinson, Harish Ravichandar:
GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling. Int. J. Robotics Res. 41(2): 232-256 (2022) - [c22]Anusha Srikanthan, Harish Ravichandar:
Resource-Aware Adaptation of Heterogeneous Strategies for Coalition Formation. AAMAS 2022: 1732-1734 - [c21]Mandy Xie, Ankur Handa, Stephen Tyree, Dieter Fox, Harish Ravichandar, Nathan D. Ratliff, Karl Van Wyk:
Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration. CoRL 2022: 1355-1367 - [c20]Jack Kolb, Harish Ravichandar, Sonia Chernova:
Leveraging Cognitive States in Human-Robot Teaming. RO-MAN 2022: 792-799 - [i10]Abhineet Jain, Jack Kolb, J. M. Abbess IV, Harish Ravichandar:
Evaluating the Effectiveness of Corrective Demonstrations and a Low-Cost Sensor for Dexterous Manipulation. CoRR abs/2204.07631 (2022) - [i9]Glen Neville, Sonia Chernova, Harish Ravichandar:
D-ITAGS: A Dynamic Interleaved Approach to Resilient Task Allocation, Scheduling, and Motion Planning. CoRR abs/2209.13092 (2022) - 2021
- [c19]Harish Ravichandar, Kenneth Shaw, Sonia Chernova:
STRATA: Unified Framework for Task Assignments in Large Teams of Heterogeneous Agents. AAMAS 2021: 1740-1742 - [c18]Glen Neville, Andrew Messing, Harish Ravichandar, Seth Hutchinson, Sonia Chernova:
An Interleaved Approach to Trait-Based Task Allocation and Scheduling. IROS 2021: 1507-1514 - [c17]Max Rudolph, Sonia Chernova, Harish Ravichandar:
Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation. IROS 2021: 2592-2597 - [c16]Jack Kolb, Mayank Kishore, Kenneth Shaw, Harish Ravichandar, Sonia Chernova:
Predicting Individual Human Performance in Human-Robot Teaming. RO-MAN 2021: 45-50 - [i8]Max Rudolph, Sonia Chernova, Harish Ravichandar:
Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation. CoRR abs/2108.00346 (2021) - [i7]Anusha Srikanthan, Harish Ravichandar:
Resource-Aware Generalization of Heterogeneous Strategies for Coalition Formation. CoRR abs/2108.02733 (2021) - [i6]Glen Neville, Andrew Messing, Harish Ravichandar, Seth Hutchinson, Sonia Chernova:
An Interleaved Approach to Trait-Based Task Allocation and Scheduling. CoRR abs/2108.02773 (2021) - 2020
- [j5]Harish Ravichandar, Kenneth Shaw, Sonia Chernova:
STRATA: unified framework for task assignments in large teams of heterogeneous agents. Auton. Agents Multi Agent Syst. 34(2): 38 (2020) - [j4]Harish Ravichandar, Athanasios S. Polydoros, Sonia Chernova, Aude Billard:
Recent Advances in Robot Learning from Demonstration. Annu. Rev. Control. Robotics Auton. Syst. 3: 297-330 (2020) - [c15]Kevin Chen, Nithin Shrivatsav Srikanth, David Kent, Harish Ravichandar, Sonia Chernova:
Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations. CoRL 2020: 1572-1581 - [c14]Glen Neville, Harish Ravichandar, Kenneth Shaw, Sonia Chernova:
Approximated Dynamic Trait Models for Heterogeneous Multi-Robot Teams. IROS 2020: 7978-7984 - [c13]Abhinav Jain, Daphne Chen, Dhruva Bansal, Sam Scheele, Mayank Kishore, Hritik Sapra, David Kent, Harish Ravichandar, Sonia Chernova:
Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization. IROS 2020: 11052-11057 - [i5]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:
Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks. CoRR abs/2001.10386 (2020) - [i4]Abhinav Jain, Daphne Chen, Dhruva Bansal, David Kent, Harish Ravichandar, Sonia Chernova:
Anticipatory Human-Robot Collaboration via Multi-Objective Trajectory Optimization. CoRR abs/2006.03614 (2020)
2010 – 2019
- 2019
- [j3]Harish Chaandar Ravichandar, Ashwin P. Dani:
Learning position and orientation dynamics from demonstrations via contraction analysis. Auton. Robots 43(4): 897-912 (2019) - [c12]Muhammad Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan D. Ratliff:
Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations. CoRL 2019: 1457-1468 - [c11]Harish Ravichandar, Seyed Reza Ahmadzadeh, Muhammad Asif Rana, Sonia Chernova:
Skill Acquisition via Automated Multi-Coordinate Cost Balancing. ICRA 2019: 7776-7782 - [c10]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:
Taking Recoveries to Task: Recovery-Driven Development for Recipe-Based Robot Tasks. ISRR 2019: 593-609 - [i3]Harish Ravichandar, Kenneth Shaw, Sonia Chernova:
STRATA: A Unified Framework for Task Assignments in Large Teams of Heterogeneous Robots. CoRR abs/1903.05149 (2019) - [i2]Harish Ravichandar, Seyed Reza Ahmadzadeh, Muhammad Asif Rana, Sonia Chernova:
Skill Acquisition via Automated Multi-Coordinate Cost Balancing. CoRR abs/1903.11725 (2019) - [i1]Pietro Pierpaoli, Harish Ravichandar, Nicholas R. Waytowich, Anqi Li, Derrik E. Asher, Magnus Egerstedt:
Inferring and Learning Multi-Robot Policies by Observing an Expert. CoRR abs/1909.07887 (2019) - 2018
- [j2]Harish Chaandar Ravichandar, Avnish Kumar, Ashwin P. Dani:
Gaze and motion information fusion for human intention inference. Int. J. Intell. Robotics Appl. 2(2): 136-148 (2018) - [c9]Harish Chaandar Ravichandar, Iman Salehi, Brian P. Baillie, George M. Bollas, Ashwin P. Dani:
Learning Stable Nonlinear Dynamical Systems with External Inputs using Gaussian Mixture Models. ACC 2018: 4825-4830 - 2017
- [j1]Harish Chaandar Ravichandar, Ashwin P. Dani:
Human Intention Inference Using Expectation-Maximization Algorithm With Online Model Learning. IEEE Trans Autom. Sci. Eng. 14(2): 855-868 (2017) - [c8]Harish Chaandar Ravichandar, Iman Salehi, Ashwin P. Dani:
Learning Partially Contracting Dynamical Systems from Demonstrations. CoRL 2017: 369-378 - 2016
- [c7]Harish Chaandar Ravichandar, Avnish Kumar, Ashwin P. Dani, Krishna R. Pattipati:
Learning and Predicting Sequential Tasks Using Recurrent Neural Networks and Multiple Model Filtering. AAAI Fall Symposia 2016 - [c6]Harish Chaandar Ravichandar, Pavan Kumar Thota, Ashwin P. Dani:
Learning periodic motions from human demonstrations using transverse contraction analysis. ACC 2016: 4853-4858 - [c5]Pavan Kumar Thota, Harish Chaandar Ravichandar, Ashwin P. Dani:
Learning and synchronization of movement primitives for bimanual manipulation tasks. CDC 2016: 945-950 - [c4]Harish Chaandar Ravichandar, Avnish Kumar, Ashwin P. Dani:
Bayesian human intention inference through multiple model filtering with gaze-based priors. FUSION 2016: 2296-2302 - 2015
- [c3]Harish Chaandar Ravichandar, Ashwin P. Dani:
Human intention inference and motion modeling using approximate E-M with online learning. IROS 2015: 1819-1824 - [c2]Harish Chaandar Ravichandar, Ashwin P. Dani:
Human intention inference through interacting multiple model filtering. MFI 2015: 220-225 - 2014
- [c1]Harish Chaandar Ravichandar, Ashwin P. Dani:
Gyro-aided image-based tracking using mutual information optimization and user inputs. SMC 2014: 858-863
Coauthor Index
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