🤖 Spider-Man Enters Danger Zones
Good Morning, Roboticists!
We used to call this “the future.” Now it’s a product catalog.
Spider-Man Enters Danger Zones
TL;DR: China has deployed a humanoid robot with embodied intelligence for high-risk industrial tasks in environments like chemical storage facilities. The 90-kg robot uses a magnetic chassis to climb metal surfaces and perform operations such as welding, inspection, and rust removal. With dual arms, 15 degrees of freedom, and continuous power via tethering, it can operate steadily and carry out complex tasks in hazardous conditions.
Toyota Robot Drains Shots
TL;DR: Toyota unveiled CUE7, the latest version of its basketball robot, using improved vision, motion planning, and control to detect the hoop, estimate distance, and execute highly precise shots. Building on earlier CUE systems, it demonstrates consistent, repeatable shooting and serves as a test platform for embodied AI, advancing sensing, coordination, and real-world robotics capabilities beyond automotive applications.
Build a Humanoid in 100 Hours
TL;DR: Open-source project Asimov released a detailed guide outlining the full process of building its v1 humanoid robot, showing it takes 50–100 hours to assemble from components to a verified power-on state. The 1.2-meter, 35-kg robot includes 25 degrees of freedom, complex wiring, mechanical assembly, and software setup, documenting the complete step-by-step build process.
Unitree R1 Officially On Sale
TL;DR: Unitree Robotics has listed its R1 humanoid robot on AliExpress, offering global buyers direct access to the system for around $6,800–$8,100. The 1.23-meter robot, previously named one of TIME’s Best Inventions, supports running and dynamic movements, with an EDU version providing open interfaces for development.
KAIST Robot Learns Terrain
TL;DR: KAIST researchers developed DreamWaQ++, a quadrupedal robot control system that uses cameras, LiDAR, and onboard sensors to perceive surroundings and adjust movement in real time. It shifts from reactive walking to perception-based locomotion, identifying obstacles in advance. Tests showed it climbing 50 steps in 35 seconds, handling 35-degree slopes, and navigating complex terrain, with results published in IEEE Transactions on Robotics.
Taiwan Bets Big on Robotics
TL;DR: Taiwan launched a National Center for AI Robotics and a $629 million funding program to build its domestic robotics industry. The initiative supports startup creation, R&D, and talent development through 2026–2029, targeting sectors like healthcare and industrial automation.
Locus Array Goes Autonomous
TL;DR: Locus Robotics launched Locus Array, a mobile picking system combining a robot base, vision, and an integrated arm to automate warehouse fulfillment. Unlike earlier assisted robots, it enables fully autonomous “robot-to-goods” workflows, handling picking, sorting, and replenishment. Already deployed with DHL, it reduces manual labor by up to 90% and supports scalable, high-throughput warehouse operations.
Transitive 2.0 Shifts to Scale
TL;DR: Transitive Robotics released Transitive 2.0, upgrading its open-source robotics framework from operator-focused tools to fleet-scale infrastructure. Earlier versions centered on remote control, video streaming, and single-robot operations. The new release adds ClickHouse, Grafana, and Alertmanager to enable large-scale monitoring, historical data analysis, health tracking, and automated alerts, supporting companies managing growing robot fleets.
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