Topic · 21 recaps

Robotics

Learning-based control of physical systems — manipulation, locomotion, vision-language-action models, and simulation-to-real transfer for autonomous robots.

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Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models

Multimodal · Aug 27

DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation

Mechanistic Interpretability · Aug 13

SimWAM: A Simple World Action Model for End-to-End Autonomous Driving

Inference Optimization · Aug 7

GST-Bench: Can VLMs Develop Global Spatial Awareness from Video?

Evaluation · Aug 6

HumanCLAW: Can Vision-Language Models Act Through a Body?

Agents · Jul 29

TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM

Inference Optimization · Jul 29

HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone

Inference Optimization · Jul 28

N_0-VTLA: Scaling Vision-Tactile-Language-Action Model with Latent Tactile Tokens

Multimodal · Jul 26

ReferTrack: Referring Then Tracking for Embodied Visual Tracking

Agents · Jul 22

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

Reinforcement Learning · Jul 22