Robot Manipulation
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Benchmarks
Most implemented
World Action Agent: Harnessing VLMs for Robot Manipulation via World Action Rehearsal
DeformSmith: Physics Harness-Guided Hierarchical Generation of Deformable Assets for Robot Manipulation
The Latent That Never Was: A Forensic Re-run of the CVAE Ablation in Action Chunking Transformer
BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation
QuantWAMs: Calibrating at the Right Granularity for World Action Models
Papers
Skill2Real: Agentic Skill Learning for Zero-Shot Sim-to-Real Robot Manipulation
Transferring robotic skills from simulation to reality requires task knowledge that remains usable across differences in perception, dynamics, and embodiment. We introduce Skill2Real, an agentic policy framework that lea…
Robot ManipulationFlashDexRetarget: Accelerating Dexterous Manipulation Data Generation through Multi-Motion Retargeting
Human hand-object demonstrations offer a reusable source of dexterous robot manipulation data, but transferring them across embodiments requires physically feasible retargeting. Existing physics-based approaches face lim…
Robot Manipulation3DROID: A Renderable 3D Gaussian Dataset with Measured Per-Scene Reliability
Robot manipulation models primarily reason from 2D observations while acting in the 3D physical world. To bridge this gap, recent work has augmented robot data with geometric priors such as depth, point clouds, and 3D tr…
Robot ManipulationPoint CloudsRoboCoach: World Models as Active Coaches for Compositional Robot Skills
Long-horizon robot manipulation reuses skills across many task compositions, but improving these compositions with additional end-to-end demonstrations is costly. A practical self-improving system must decide both what t…
Robot ManipulationMotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation
Vision-language-action (VLA) models have advanced robotic manipulation, but their zero-shot generalization in new tasks and environments remains limited, and their reliance on specialized training keeps them from benefit…
Zero-shot GeneralizationRobot ManipulationVisual GroundingRecursive Harness Distillation across Agents for Robot Manipulation
A central goal in robotics is to enable manipulation across changing tasks and environments. Vision-language-action (VLA) models provide broad manipulation capabilities but can struggle when execution requires diagnosing…
Robot Manipulation