Papers

959 papers found
4D-Former: Multimodal 4D Panoptic Segmentation
Ali Athar, Enxu Li, Sergio Casas et al.
2023 CORL
A Bayesian Approach to Robust Inverse Reinforcement Learning
Ran Wei, Siliang Zeng, Chenliang Li et al.
2023 CORL
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
Theophile Gervet, Zhou Xian, Nikolaos Gkanatsios et al.
2023 CORL
2023 CORL
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer
Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel et al.
2023 CORL
A Data-efficient Neural ODE Framework for Optimal Control of Soft Manipulators
Mohammadreza Kasaei, Keyhan Kouhkiloui Babarahmati, Zhibin Li et al.
2023 CORL
2023 CORL
Affordance-Driven Next-Best-View Planning for Robotic Grasping
Xuechao Zhang, Dong Wang, Sun Han et al.
2023 CORL
An Unbiased Look at Datasets for Visuo-Motor Pre-Training
Sudeep Dasari, Mohan Kumar Srirama, Unnat Jain et al.
2023 CORL
A Policy Optimization Method Towards Optimal-time Stability
Shengjie Wang, Lan Fengb, Xiang Zheng et al.
2023 CORL
AR2-D2: Training a Robot Without a Robot
Jiafei Duan, Yi Ru Wang, Mohit Shridhar et al.
2023 CORL
2023 CORL
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback
Max Balsells, Marcel Torne Villasevil, Zihan Wang et al.
2023 CORL
BridgeData V2: A Dataset for Robot Learning at Scale
Homer Rich Walke, Kevin Black, Tony Z. Zhao et al.
2023 CORL
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller
Yuxiang Yang, Guanya Shi, Xiangyun Meng et al.
2023 CORL
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
Linrui Zhang, Zhenghao Peng, Quanyi Li et al.
2023 CORL
2023 CORL