#vision-language-action (2)

π0.7: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

π0.7 is a steerable generalist robotic foundation model conditioned on diverse multimodal context—language commands, subgoal images, and task metadata—enabling strong out-of-the-box performance in unseen environments, zero-shot cross-embodiment transfer, and emergent capabilities matching RL-finetuned specialists.

Physical Intelligence, Bo Ai, Ali AminApr 16, 2026

Robot foundation modelsVLAvision-language-actionApr 16, 2026

See like a Robot: Robot-Centric Pointmaps for Vision-Language-Action Models

This paper addresses the frame mismatch in VLA models between camera-frame observation and robot-frame action by introducing robot-centric pointmaps—images whose pixels store 3D coordinates in the robot frame. Pointmaps provide robot-frame 3D geometry while preserving image structure, enabling cross-viewpoint generalization across diverse camera setups.

Byungkun Lee, Dongyoon Hwang, Dongjin KimJul 13, 2026

VLAPointmapcross-viewpointJul 13, 2026