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Join us with @UnitreeRobotics for a relaxing evening of drinks and canapes in Sydney during #RSS2026 with leading researchers, labs and operators from across the world. Link below to RSVP, sign up quickly space is limited!

"A parcel with snacks has been delivered for Flexion. Retrieve it using the stairs and come up using the elevator. Then unpack it and place the items into the empty drawer on the shelf in the snack area." One instruction. No human operator. Everything that follows is autonomous. Today we're introducing Reflect v1.0, our robotics intelligence platform for long-horizon work. From a single natural-language command, the robot understands the task, navigates a multi-floor building, calls elevators, handles doors, uses tools to unpack a box, and puts the items away. The biggest shift in v1.0 is that we use reinforcement learning across every layer, from low-level control to high-level reasoning. Long-horizon autonomy is unforgiving. The robot must recover on its own when things don't go to plan because in the real world, they never do. Combining reasoning, perception, physical execution and runtime robustness into a single mission-capable system is the foundation required to solve humanoid autonomy. Our team is just getting started. #HumanoidRobots #Flexion

Can @eastworlds_io labs in Kuala Lumpur help Optimus leave the lab faster too?

.@pabloberlangab broke down the $PEAK origin story and how he stumbled across @virtuals_io, the team that helped make this possible Every robotics company refused to give Pablo a robot when he was starting Pemba, worried he'd put it somewhere it would fail and make them look bad Then a friend connected him to Virtuals' Eastworlds Initiative, where he landed a deal in a 30-minute meeting: Here's a free humanoid robot IF you tokenize it Pablo didn't know anything about crypto going in, but now $PEAK is bootstrapping every major expense keeping the project moving forward

Introducing Universal Manipulation Exoskeleton (UME) A low-cost exoskeleton with real-time haptic torque feedback for learning autonomous policies that perform highly force-mediated, tightly space-constrained, visually occluded, whole-body, and long-horizon mobile manipulation tasks. Using UME, the teleoperator can unsheathe a heavy metal sword completely blindfolded. ume-exo.github.io 🧵1/N