#Robotics
Curated coverage on «Robotics»: releases, research, benchmarks, open-source.

RoboCasa-Shift: a benchmark shows where VLA robots break in the kitchen
The new RoboCasa-Shift benchmark ran GR00T N1.5 through 1 040 rollouts: two failures with the same ΔSR=0.188 break the robot at the first stage in 19.0% and 36.4%…

WorldStream Builds an Endless 3D World and Remembers Every Player Edit
WorldStream extends a playable 3D world beyond the map, executes language commands, and restores visited places with their edits. It plans on two levels…

RoboJudge-9B Judges Robot Videos More Accurately Than Gemini: 0.719 Correlation With Humans
CUHK researchers built an 800-video annotated benchmark and trained a 9B judge for robot videos: 0.719 correlation with humans, 0.089 higher than Gemini-3.7-Flash.

Researchers Explain How JEPA Selects Features: Relationships Matter, Not Lone Features

The State of AI in 2026: Key Takeaways from Stanford's Report

Stanford Online Posts Lecture 12 of AA274A: Classical Computer Vision for Robots

TILDE Teaches Robots From Foundation Models, Improving Results by Up to 4.1x

LabBuilder Turns an Experiment Description into a Safe 3D Lab
A team at ICML 2026 introduced LabBuilder, a system that builds a safety-aware 3D lab layout from the text of an experiment protocol. The authors name three gaps in…

Hesai CEO: A Robot in a DQ Ice Cream Shop Needs More Than Hands and a Model — It Needs to Understand Space
At a Hesai presentation, CEO Li Yifan explained why a robot in a DQ ice cream shop is limited not by its manipulator but by space. The headline promises scene…

Stanford Posts Pavone's Stereo Vision Lecture: AA274A Course and a Free Textbook

UBTech's Thinker-WM Takes Three First Places, Scoring 0.740 on WorldOlympiad

MambaAct speeds up π0.5 robots: action expert 10x smaller, latency down 64.8%

RoboHarness: A Coding Agent on Qwen3.8-Flash-Next Beats VLA Models in BEHAVIOR

Recursia Beats Nvidia ASPIRE by 10 Points on Long-Horizon Robot Tasks
Recursia, built on the Embodied RSI paradigm, targets zero-shot generalization in robots. On long multi-step tasks, it outperforms Nvidia ASPIRE by 10 points.

Ego Data Gets a "Full Body": A New Scaling Path for World Models
Robot data collection is shifting from expensive platforms to lightweight formats. Jiqizhixin examines the idea of extending ego recordings with whole-body motion…









