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Publication search results
found 200 matches
- 2023
- Charles Dawson, Chuchu Fan:
A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling. CoRL 2023: 1706-1722 - Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia:
Language to Rewards for Robotic Skill Synthesis. CoRL 2023: 374-404 - Ziang Liu, Stephen Tian, Michelle Guo, C. Karen Liu, Jiajun Wu:
Learning to Design and Use Tools for Robotic Manipulation. CoRL 2023: 887-905 - Yasasa Abeysirigoonawardena, Kevin Xie, Chuhan Chen, Salar Hosseini Khorasgani, Ruiting Chen, Ruiqi Wang, Florian Shkurti:
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering. CoRL 2023: 3710-3731 - Abulikemu Abuduweili, Changliu Liu:
Online Model Adaptation with Feedforward Compensation. CoRL 2023: 3687-3709 - Amin Abyaneh, Hsiu-Chin Lin:
Learning Lyapunov-Stable Polynomial Dynamical Systems Through Imitation. CoRL 2023: 2642-2662 - Ananye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak:
Dexterous Functional Grasping. CoRL 2023: 3453-3467 - Jiyong Ahn, Sanghyeon Son, Dongryung Lee, Jisu Han, Dongwon Son, Beomjoon Kim:
Preference learning for guiding the tree search in continuous POMDPs. CoRL 2023: 3929-3948 - Oguzhan Akcin, Orhan Unuvar, Onat Ure, Sandeep P. Chinchali:
Fleet Active Learning: A Submodular Maximization Approach. CoRL 2023: 1378-1399 - Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun:
4D-Former: Multimodal 4D Panoptic Segmentation. CoRL 2023: 2151-2164 - Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson:
Geometry Matching for Multi-Embodiment Grasping. CoRL 2023: 1242-1256 - Nikhil Angad Bakshi, Jeff Schneider:
Stealthy Terrain-Aware Multi-Agent Active Search. CoRL 2023: 1782-1796 - Max Balsells, Marcel Torne Villasevil, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta:
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. CoRL 2023: 774-799 - Suneel Belkhale, Yuchen Cui, Dorsa Sadigh:
HYDRA: Hybrid Robot Actions for Imitation Learning. CoRL 2023: 2113-2133 - Varun Bhatt, Heramb Nemlekar, Matthew Christopher Fontaine, Bryon Tjanaka, Hejia Zhang, Ya-Chuan Hsu, Stefanos Nikolaidis:
Surrogate Assisted Generation of Human-Robot Interaction Scenarios. CoRL 2023: 513-539 - Bibit Bianchini, Mathew Halm, Michael Posa:
Simultaneous Learning of Contact and Continuous Dynamics. CoRL 2023: 3966-3978 - Harel Biggie, Ajay Narasimha Mopidevi, Dusty Woods, Christoffer R. Heckman:
Tell Me Where to Go: A Composable Framework for Context-Aware Embodied Robot Navigation. CoRL 2023: 1640-1666 - Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt:
One-shot Imitation Learning via Interaction Warping. CoRL 2023: 2519-2536 - Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Lorenzo Rosasco, Carme Torras:
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees. CoRL 2023: 3010-3029 - Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias:
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs. CoRL 2023: 1950-1974 - Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell:
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots. CoRL 2023: 1797-1819 - Yevgen Chebotar, Quan Vuong, Karol Hausman, Fei Xia, Yao Lu, Alex Irpan, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Anand Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine:
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. CoRL 2023: 3909-3928 - Lili Chen, Shikhar Bahl, Deepak Pathak:
PlayFusion: Skill Acquisition via Diffusion from Language-Annotated Play. CoRL 2023: 2012-2029 - Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell:
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. CoRL 2023: 358-373 - Shizhe Chen, Ricardo Garcia Pinel, Cordelia Schmid, Ivan Laptev:
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. CoRL 2023: 1761-1781 - Yi-Rong Chen, Ching-Yu Tseng, Yi-Syuan Liou, Tsung-Han Wu, Winston H. Hsu:
Revisiting Depth-guided Methods for Monocular 3D Object Detection by Hierarchical Balanced Depth. CoRL 2023: 2995-3009 - Yuanpei Chen, Chen Wang, Li Fei-Fei, C. Karen Liu:
Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation. CoRL 2023: 3809-3829 - Murtaza Dalal, Ajay Mandlekar, Caelan Reed Garrett, Ankur Handa, Ruslan Salakhutdinov, Dieter Fox:
Imitating Task and Motion Planning with Visuomotor Transformers. CoRL 2023: 2565-2593 - Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain, Abhinav Gupta:
An Unbiased Look at Datasets for Visuo-Motor Pre-Training. CoRL 2023: 1183-1198 - Gaurav Datta, Ryan Hoque, Anrui Gu, Eugen Solowjow, Ken Goldberg:
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors. CoRL 2023: 2340-2356
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