Video Friday: Digit Redecorates
IEEE Spectrum’s Video Friday highlights a set of robotics demos and upcoming conferences. The excerpt spotlights a hierarchical reinforcement-learning method called ReST-RL that decouples locomotion from payload stabilization and reports successful zero-shot sim‑to‑real deployment on Unitree G1 humanoid hardware; it also points to demos from Agility (a notable couch-drag clip) and mentions upcoming events in Seoul, Pittsburgh, and Austin.
Why this matters for robot rental
Payload stabilization during dynamic bipedal motion is directly relevant to real‑world use cases where rented humanoids would carry or manipulate unsecured loads. ReST‑RL’s reported zero‑shot sim‑to‑real deployment on hardware suggests approaches that could reduce onsite tuning and accelerate field readiness — important for customers seeking short‑term robot rentals or trials. The item also points to conference dates (Pittsburgh, Austin) where vendors and rental providers often demonstrate capabilities and take rental enquiries.
Source context
Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion. Humanoids Summit Seoul : 22–23 September 2026, SEOUL IROS 2026 : 27 September–1 October 2026, PITTSBURGH CoRL 2026 : 9–12 November 2026, AUSTIN Enjoy today’s videos! I know these videos from Agility can be a little bit silly, but the couch drag in this one is impressive. [ Agility Robotics ] Stabilizing unsecured payloads against the inherent oscillations of dynamic bipedal locomotion remains a critical engineering bottleneck for humanoids in unstructured environments. To solve this, we introduce ReST-RL, a hierarchical reinforcement learning architecture that explicitly decouples locomotion from payload stabilization. Successfully deployed on the Unitree G1 humanoid hardware, this modular approach demonstrates highly reliable zero-shot sim-to-real generalization across various objects and external force disturbances. [ SteadyTray ] Thanks, Ioana! Figure is scaling compute so that its robots can... Uh... Have their compute scaled, I guess? Solving for a robot in every home is not a data and compute problem, it’s a safety and cost problem. [ Figure ] The most important thing about this gripper is that koalas have two thumbs on each hand. [ RAI Institute ] DARPA Triage Challenge Finals are in November! [ DARPA ] Online, humanoid robots are very impressive to watch, but behind the scenes, most of those movements are carefully choreographed. Researchers in Carnegie Mellon University’s Safe AI Lab are instead teaching robots how to adapt. Their system, called APEX, allows a humanoid robot to navigate obstacles using adaptive, full-bod
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