Harish Ravichandar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
5
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CoRL | 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 |
| 2023 | CoRL | On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills. | Yunhai Han, Mandy Xie, Ye Zhao, Harish Ravichandar |
| 2023 | CoRL | Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities. | Pierce Howell, Max Rudolph, Reza Joseph Torbati, Kevin Fu, Harish Ravichandar |
| 2023 | IROS | 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 |
| 2023 | IROS | Risk-Tolerant Task Allocation and Scheduling in Heterogeneous Multi-Robot Teams. | Jinwoo Park, Andrew Messing, Harish Ravichandar, Seth Hutchinson |
| 2023 | RO-MAN | Benefits of Multi-Objective Trajectory Adaptation in Close-Proximity Human-Robot Interaction. | Oscar Jed Chuy, Hritik Sapra, Xiang Zhi Tan, Harish Ravichandar, Sonia Chernova |
| 2022 | CoRL | 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 |
| 2022 | RO-MAN | Leveraging Cognitive States in Human-Robot Teaming. | Jack Kolb, Harish Ravichandar, Sonia Chernova |
| 2021 | IROS | An Interleaved Approach to Trait-Based Task Allocation and Scheduling. | Glen Neville, Andrew Messing, Harish Ravichandar, Seth Hutchinson, Sonia Chernova |
| 2021 | IROS | Desperate Times Call for Desperate Measures: Towards Risk-Adaptive Task Allocation. | Max Rudolph, Sonia Chernova, Harish Ravichandar |
| 2021 | RO-MAN | Predicting Individual Human Performance in Human-Robot Teaming. | Jack Kolb, Mayank Kishore, Kenneth Shaw, Harish Ravichandar, Sonia Chernova |
| 2020 | CoRL | Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations. | Kevin Chen, Nithin Shrivatsav Srikanth, David Kent, Harish Ravichandar, Sonia Chernova |
| 2020 | IROS | 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 |
| 2020 | IROS | Approximated Dynamic Trait Models for Heterogeneous Multi-Robot Teams. | Glen Neville, Harish Ravichandar, Kenneth Shaw, Sonia Chernova |
| 2019 | CoRL | 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 |
| 2019 | ICRA | Skill Acquisition via Automated Multi-Coordinate Cost Balancing. | Harish Ravichandar, Seyed Reza Ahmadzadeh, Muhammad Asif Rana, Sonia Chernova |
| 2019 | ISRR | 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 |