CoRL 2023 Conference Submissions

Online Model Adaptation with Feedforward Compensation
ABULIKEMU ABUDUWEILI, Changliu Liu
- Published: 30 Aug 2023, Last Modified: 25 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves
Seungyeon Kim, Young Hun Kim, Yonghyeon Lee, Frank C. Park
- Published: 30 Aug 2023, Last Modified: 24 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Waypoint-Based Imitation Learning for Robotic Manipulation
Lucy Xiaoyang Shi, Archit Sharma, Tony Z. Zhao, Chelsea Finn
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D Martin, Mariano Phielipp, Chelsea Finn
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs
Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas Bekris, Abdeslam Boularias
- Published: 30 Aug 2023, Last Modified: 16 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation
Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine
- Published: 30 Aug 2023, Last Modified: 19 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
Jinxin Liu, Lipeng Zu, Li He, Donglin Wang
- Published: 30 Aug 2023, Last Modified: 15 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations
Franck Djeumou, Cyrus Neary, ufuk topcu
- Published: 30 Aug 2023, Last Modified: 15 Oct 2023
- CoRL 2023 Oral
- Readers: Everyone
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca Dragan, Sergey Levine
- Published: 30 Aug 2023, Last Modified: 20 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Learning Generalizable Manipulation Policies with Object-Centric 3D Representations
Yifeng Zhu, Zhenyu Jiang, Peter Stone, Yuke Zhu
- Published: 30 Aug 2023, Last Modified: 22 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies
Tianyu Li, Nadia Figueroa
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
Pierce Howell, Max Rudolph, Reza Joseph Torbati, Kevin Fu, Harish Ravichandar
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Language-Conditioned Path Planning
Amber Xie, Youngwoon Lee, Pieter Abbeel, Stephen James
- Published: 30 Aug 2023, Last Modified: 25 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area
Jingsong Liang, Zhichen Wang, Yuhong Cao, Jimmy Chiun, Mengqi Zhang, Guillaume Adrien Sartoretti
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning
Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Hijacking Robot Teams Through Adversarial Communication
Zixuan Wu, Sean Charles Ye, Byeolyi Han, Matthew Gombolay
- Published: 30 Aug 2023, Last Modified: 15 Oct 2023
- CoRL 2023 Oral
- Readers: Everyone
Robot Learning with Sensorimotor Pre-training
Ilija Radosavovic, Baifeng Shi, Letian Fu, Ken Goldberg, Trevor Darrell, Jitendra Malik
- Published: 30 Aug 2023, Last Modified: 20 Oct 2023
- CoRL 2023 Oral
- Readers: Everyone
DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control
Kevin Huang, Rwik Rana, Alexander Spitzer, Guanya Shi, Byron Boots
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Oral
- Readers: Everyone
MUTEX: Learning Unified Policies from Multimodal Task Specifications
Rutav Shah, Roberto Martín-Martín, Yuke Zhu
- Published: 30 Aug 2023, Last Modified: 25 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Composable Part-Based Manipulation
Weiyu Liu, Jiayuan Mao, Joy Hsu, Tucker Hermans, Animesh Garg, Jiajun Wu
- Published: 30 Aug 2023, Last Modified: 24 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
Haimin Hu, Zixu Zhang, Kensuke Nakamura, Andrea Bajcsy, Jaime Fernández Fisac
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
Kevin Zakka, Philipp Wu, Laura Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel
- Published: 30 Aug 2023, Last Modified: 25 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training
Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, QIANG FU, Xueqian Wang
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Oral
- Readers: Everyone
Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping
Adam Rashid, Satvik Sharma, Chung Min Kim, Justin Kerr, Lawrence Yunliang Chen, Angjoo Kanazawa, Ken Goldberg
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Oral
- Readers: Everyone
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu
- Published: 30 Aug 2023, Last Modified: 17 Oct 2023
- CoRL 2023 Poster
- Readers: Everyone