Hierarchical World Models as Visual Whole-Body Humanoid Controllers Paper • 2405.18418 • Published May 28 • 1
Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation Paper • 2408.11812 • Published Aug 21 • 5
Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents Paper • 2408.07199 • Published Aug 13 • 21
Theia: Distilling Diverse Vision Foundation Models for Robot Learning Paper • 2407.20179 • Published Jul 29 • 46
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models Paper • 2310.10639 • Published Oct 16, 2023 • 3
TD-MPC2: Scalable, Robust World Models for Continuous Control Paper • 2310.16828 • Published Oct 25, 2023 • 7
Temporal Difference Learning for Model Predictive Control Paper • 2203.04955 • Published Mar 9, 2022 • 2
Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics Paper • 2406.10788 • Published Jun 16 • 1
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion Paper • 2303.04137 • Published Mar 7, 2023 • 3
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware Paper • 2304.13705 • Published Apr 23, 2023 • 3
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs Paper • 2407.07775 • Published Jul 10 • 3
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning Paper • 2401.16013 • Published Jan 29 • 23