4 min read

🤖 Figure Hits 1,000 Robots

Plus: The Afterlife Wants Hardware, Optimus Learns From Workers

Good Morning, Roboticists!

Humanity spent centuries training humans for work. Now we’re building systems to train machines the same way.


Figure Hits 1,000 Robots

TL;DR: Figure says it has manufactured its 1,000th Figure 03 at BotQ, marking a scale milestone for the California humanoid startup. CEO Brett Adcock showed off a gold-finished unit, while the company says the model’s production-focused design cut costs sharply from Figure 02 and supports deployments such as BMW Spartanburg logistics work today. Read more →


The Afterlife Wants Hardware

TL;DR: A Digital DNA project claims it can preserve a person’s identity profile for future use in humanoid robots or holographic systems. The proposal, tied to a patent application and a veterans-linked research effort, frames memory, behavior, and professional knowledge as data that could outlive the body in machine form someday. Read more →


Receiving Docks Go Robotic

TL;DR: XYZ Robotics says BAUHAUS has deployed RockyOne and RockyOne SE robots at its Krefeld, Germany central warehouse to automate goods receiving. The system unloads cartons from shipping containers, scans barcodes, sorts items, and builds shelf-ready pallets, tackling thousands of daily inbound shipments across more than 10,000 SKUs in one continuous workflow at scale. Read more →


Hospitals Need Robot Dispatchers

TL;DR: deliverz.ai is bringing its hospital logistics platform to the U.S., promising one system for autonomous robots, human transporters, and clinical workflows. At Israel’s Sheba Medical Center, the company says robots already cut chemotherapy delivery time from 40 minutes to 14, while the platform coordinates medications, specimens, supplies, and meals around the clock daily. Read more →


Surgery Practice Speeds Up

TL;DR: Unite.AI reports that NVIDIA’s Cosmos-H-Dreams surgical world model can now generate operating-field video in real time on one RTX PRO 6000 GPU. The system uses surgical video and robot kinematics to simulate future frames, giving surgeons, browser controls, or trained robot policies a live research loop for robotic surgery training and simulation. Read more →


Factories Get A Reality Loop

TL;DR: ABB Robotics and NVIDIA outlined a physical AI blueprint for precision manufacturing, with robotic vision as an early entry point. Their RobotStudio HyperReality work combines ABB simulation tools with NVIDIA Omniverse-style digital environments, aiming to help manufacturers train, test, and deploy adaptive robots before they touch real factory lines at scale globally faster. Read more →


Boring Factory Work Wins

TL;DR: China Daily’s WAIC report focused on Leju Robotics’ working line, where humanoids destacked cartons, moved plastic bins, and fed small parts into machines. The demos claimed 95.8 percent carton-destacking success over eight hours, 92 percent plastic-bin handling at FAW and JAC factories, and 94.3 percent small-part feeding across varied components. Read more →


Warehouse Robots Await The Signature

TL;DR: Wetour Robotics says its U.S. subsidiary is pursuing a warehouse robotics cooperation agreement to support the company’s multi-site Orchestra project. The proposed partner would handle integration, hardware deployment, worker onboarding, and support, while management estimates the full rollout could generate about $5 million in project-level gross profit if agreements close and sites proceed. Read more →


Curiosity Becomes Training Fuel

TL;DR: Interesting Engineering reports that curiosity-driven AI helped robots learn language tasks faster, echoing how children explore and recover from mistakes. The research rewarded agents for satisfying curiosity as well as completing tasks, and the robots reportedly learned complex language-linked behavior at roughly twice the speed of baseline systems in training trials overall. Read more →


Optimus Learns From Workers

TL;DR: Tesla plans to use worker movement data from its Germany Gigafactory to train Optimus for manufacturing tasks. The approach would let the humanoid learn from real industrial motions rather than staged demonstrations, as Tesla tries to connect factory experience with a robot still moving toward practical deployment in production settings soon. Read more →


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