Start with the task and the trial count
A compact reading method for robotics papers that keeps hardware, test conditions, success counts and missing evidence together.
Physical AI, embodied agents and action models. Read the mechanism, the experiment and the limits of the published result.
A compact reading method for robotics papers that keeps hardware, test conditions, success counts and missing evidence together.
What the two terms mean, where they overlap, and the evidence to ask for behind a robotics claim.
Imitation learning, reinforcement learning and simulation explained through ALOHA and a robotic hand experiment.
How RT-2 and OpenVLA turn images and instructions into robot actions, and what their results do not establish.
Find the official IROS 2026 dates, programme access and journal-presentation policy, with the distinction between a paper date and a conference session.
Locate two IROS 2025 humanoid papers, identify their hardware and separate a biped walking experiment from cart-mounted manipulation.