PointWalker: Mapless Quadruped Locomotion Directly From Raw LiDAR Point Clouds
Fuses LiDAR point clouds and proprioception through attention, connecting terrain perception with a reinforcement-learned quadruped policy.
THE RESEARCH ATLAS
Embodied AI & robotics papers
Vision-language-action models, world models and manipulation. Separate simulation performance, constrained demonstrations and evidence from real deployment.
FACT: A Multimodal Force-Action-Track Foundation Model for Human-to-Robot Dexterity
Human and robot demonstrations are combined with force-aware planning for dexterous manipulation.
What work can robots do?
A task-level analysis of robot exposure that distinguishes demonstrated capability in limited settings from general deployment.
UnifoLM-WLA-1.0: One Model Driven, Whole-Body Coordination
Connects embodied understanding, interaction-centric world modeling and action learning for tabletop and whole-body humanoid manipulation.
Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation
A language-conditioned video world model predicts future visual trajectories across manipulation, navigation and driving settings.
UniDex: A Robot Foundation Suite for Universal Dexterous Hand Control from Egocentric Human Videos
A dataset, VLA policy and capture setup connect human demonstrations to control across different dexterous hands.
UnifoLM-VLA-0: A Vision-Language-Action (VLA) Framework under UnifoLM Family
Continues training on robot manipulation data, connecting visual-language understanding and spatial instructions to action prediction.
Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion Transfer
The report combines embodied reasoning, interleaved thinking and motion transfer across robot embodiments.
MolmoAct: Action Reasoning Models that can Reason in Space
Depth-aware perception, spatial planning and low-level action prediction are organized into an explicit action-reasoning pipeline.
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
A compact vision-language-action model explores accessible robot learning and an efficient inference pipeline.
Huawei Qiankun ADS 4: World Engine and World Behavior Model (WEWA)
Huawei's official WEWA description links generated scenarios in a cloud world engine with an on-vehicle world behavior model.
π0.5: a Vision-Language-Action Model with Open-World Generalization
A vision-language-action system studies generalization across environments and tasks using varied sources of supervision.
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
A coupled vision-language and diffusion architecture combines reasoning with continuous robot-action generation.
Gemini Robotics: Bringing AI into the Physical World
Gemini-based models address robot manipulation and embodied reasoning, connecting multimodal understanding with physical control.
π0: A Vision-Language-Action Flow Model for General Robot Control
A pretrained vision-language backbone is combined with flow-based action generation for diverse robot tasks.
OpenVLA: An Open-Source Vision-Language-Action Model
An open vision-language-action model and adaptation framework make generalist robot policy research more accessible.
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Vision-language models are trained to produce robot actions, exploring transfer from web-scale learning to robotic control.
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Robot control is formulated as conditional denoising of action sequences, linking diffusion models to visuomotor learning.
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