LabRobotBench V0.1

Gamow Labs introduces LabRobotBench, a benchmark that uses an in-silico simulation of its robotic wet lab to test whether frontier AI agents can diagnose equipment failures and safely recover interrupted experiments such as cell assays and dose-response runs; GPT 6.1 Sol scored 46.7%, Opus 5.5 23.0% and Gemini 4 Argon 20.9%.

Research · Artificial Intelligence · Robotics · Biotechnology · Benchmarks

OpenWAM: An Open Framework for Composable World-Action Models

Stanford researchers introduce OpenWAM, an open framework for world-action models in robotics. It adapts Wan2.2-5B on 14.64k hours of robot and human video, pairs it with a 2B action expert, compares video-then-action, action-then-video, joint and decoupled programs, and adds local-context inverse and forward dynamics models that can be composed across independently trained parts.

Research · Robotics · Machine Learning · AI · Open Source

Towards Universal Post-Training for Robotics

Perry Dong and Chelsea Finn on why robotics RL differs from LLM RL, what EXPO-FT gets right and wrong, and what a universal post-training recipe for real-world robots still needs.

Research · AI · Robotics · Machine Learning · Research

RoboHarm: Do Frontier Robot Policies Refuse Unsafe Instructions?

RoboHarm tests whether frontier robot policies refuse unsafe instructions: refusal vs completion rates across models, tasks like toaster/screwdriver hazards, and scoring details.

Research · AI · AI Safety · Research · Robotics

GPT-6 Astra on robotic manipulation

Robocurve ran GPT-6 Astra through the same two bimanual robot-arm tasks previously used to benchmark Claude Fable 5 and 5.1. Astra completed the block-into-bowl task in 19 of 20 trials at roughly half the cost per run of Fable 5.1, but matched Fable 5.1's two-out-of-twenty completion rate on the harder puzzle-insertion task.

Research · Robotics · AI · LLMs · Benchmarks