🤖 Six Robots Take the Shift
Good Morning, Roboticists!
The robot uprising has a new leader. Unfortunately, it's just a detached head on a shelf watching The Lord of the Rings.
Six Robots Take the Shift
TL;DR: AGIBOT put six wheeled G2 robots on the floor of a convenience store for a 24-hour livestream spanning lunch, the evening rush, overnight duty and breakfast. The planned jobs ranged from restocking shelves and making coffee to preparing hot food and clearing rubbish. The broadcast shows a longer work cycle, while individual uptime and intervention rates remain undisclosed. Read more →
Mount Tai Tests Robot Stamina
TL;DR: More than 3,100 stone steps and nearly 600 meters of elevation gain turned Mount Tai into an endurance course for robots. A machine from Beijing Lingyi Technology, a Unitree subsidiary, won the legged race in 43 minutes and 41 seconds. Other entrants showed motor overheating, power reductions or unstable gaits, exposing the demands of sustained climbing. Read more →
Tutor Charges by the Pick
TL;DR: Tutor Intelligence raised $75 million in a Series B led by Andreessen Horowitz to train robot models and build and deploy more Sonny and Cassie units. Customers pay by the hour or by the pick, with Tutor handling installation and maintenance. The company says its robots now work in nearly four times as many facilities as a year earlier. Read more →
A Robot Head Picks Movies
TL;DR: A spare NEO head nicknamed Dexter sat on a mantel, took a spoken request and picked The Fellowship of the Ring. The television woke, navigated its interface and began playback. 1X’s Dar Sleeper says teammates are using factory defect heads to test home integrations while they wait for complete robots. How Dexter controlled the TV remains undisclosed. Read more →
Figure Walks Out of BotQ
TL;DR: Figure CEO Brett Adcock shared a 19-second clip of newly manufactured Figure 03 humanoids walking out of BotQ and across the company’s campus. One robot traverses a painted pedestrian crossing as others follow with people standing and walking nearby on campus. Adcock gave no new production or delivery figures and did not specify the control mode. Read more →
The Robot Sketches the Fit
TL;DR: SketchMate asks a vision-language model to describe how unfamiliar parts fit, then uses depth measurements and close-up shape matching to align the mating surfaces. The paper demonstrates a standard plug going into a physical task board and reports 88 percent success across 69 simulated episodes under a strict pose test. Stored sketches can be reused when parts move. Read more →
ANYmal Searches Beyond the Map
TL;DR: ETH Zurich’s SAFARI system gives an ANYmal quadruped a map that tracks terrain and objects of interest together. That lets the robot decide when a closer look helps and when it should keep its distance. Across 11 missions at three outdoor sites, ETH reports 98.7 percent average coverage of accessible areas and 97.6 percent of mission time without operator intervention. Read more →
The Lab Robot Requests Training
TL;DR: BioAgent checks which skills a new laboratory protocol requires, reuses validated routines and asks a human to teach missing moves when needed. The dual-arm system then checks each step and can recover or halt as conditions change. It completed 66 percent and 58 percent of two workflows spanning 20 and 31 ordered skill calls, respectively, over 50 runs each. Read more →
The Robot Arm Measures Bend
TL;DR: Tampere University researchers mounted inertial sensors along hydraulic robot arms to estimate bending that joint readings miss. On a long-reach arm with two links, their model used five sensors versus eight for a piecewise rigid baseline, while improving tool pose estimates. In reaching tests, the controller used those deformation estimates in real time to guide the arm. Read more →
Giving Dogs Space Takes Practice
TL;DR: Researchers testing a delivery robot expected an arcing detour to make a dog more comfortable. In a pilot involving one companion dog, the detour elicited a sharper stress response than a straight pass. The robot repeatedly stopped and turned to approximate the curve, leading the team to question whether the maneuver was predictable from the dog’s perspective. Read more →
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