Robotics

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

Tackling Robotics with (V)LM Agents

Nishanth J. Kumar surveys recent demos and ideas around GPT-6 and other vision-language models solving robotics tasks—summarizing approaches and offering thoughts on what works and what still breaks.

Blog post · AI · Robotics · LLMs · 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