🤖 Gemini Gives Robots Eyes

Good Morning, Roboticists!

Every missing piece is starting to arrive at the same time.

Gemini Gives Robots Eyes

TL;DR: Google launched Gemini Robotics-ER 1.6, a new embodied reasoning model that helps robots understand environments, plan actions, and judge whether tasks are complete. The system improves spatial reasoning, multi-camera understanding, and instrument reading, boosting accuracy from 23% to 93% in some cases. Built with input from Boston Dynamics, it is now available through Gemini API and Google AI Studio for developers building autonomous robots.

Swiss Robot War Games

TL;DR: Around 20 international teams will bring military robots to the Swiss Army’s Thun training area for European Land Robot Trial 2026 from June 15–19. The event will test UGVs and UAVs across reconnaissance, transport, and search-and-rescue missions in harsh natural terrain, with judges scoring performance, reliability, adaptability, and real-world military usefulness.

Unitree Chases Boars

TL;DR: A customized Unitree G1 humanoid robot was filmed chasing wild boars through a parking lot in Warsaw as part of an experiment in real-world AI interaction. The robot, called Edward Warchocki, is designed to talk with people, appear in public spaces, and even promote brands. Its creators see it as an early test of humanoid influencers that can stay on-message, avoid scandals, and attract attention through novelty.

Shanghai Becomes Tesla’s Robot Factory

TL;DR: Tesla executives said the company’s Shanghai operations could become central to mass-producing its Optimus humanoid robots. Tesla China president Wang Hao called Shanghai manufacturing a “golden key” for solving robot production challenges as the company shifts focus from older car models toward robotics, robotaxis, and embodied AI. Shanghai already accounts for more than half of Tesla’s global vehicle deliveries.

Wrist Cameras Enter Robotics

TL;DR: Ouster introduced the Stereolabs ZED X Nano, a wrist-mounted stereo camera built for robot manipulation, imitation learning, and reinforcement learning. The camera is 40% smaller than comparable systems, captures high-resolution RGB and depth at up to 120fps, and uses a low-latency sensor-to-GPU pipeline for faster training and deployment. It also supports sub-millimeter depth accuracy, direct integration with NVIDIA Isaac tools, and rugged industrial use.

Robots And Divers Team Up

TL;DR: Researchers at MIT Lincoln Laboratory are developing systems that let autonomous underwater vehicles work directly with divers during missions like cable repair, mine removal, and search-and-rescue. The project combines sonar, optical sensors, navigation algorithms, and acoustic communications so robots can guide divers, identify uncertain objects, and ask for human feedback underwater. The goal is to blend human dexterity with robot endurance, sensing, and navigation in difficult ocean environments.

Contoro Heads To Korea

TL;DR: Contoro Robotics, an Austin startup building warehouse robots for loading and unloading cargo, secured investment from Coupang to launch a pilot program in South Korea. The deal will help Contoro expand overseas, triple its workforce, move to a larger facility, and raise production from 22 robots built so far to roughly 50–65 per year as demand for logistics automation grows.

Mimic Bets On Video

TL;DR: Mimic Robotics open-sourced the recipe behind mimic-video, its Video-Action Model framework designed to help robots learn from motion instead of static images. The company argues traditional VLA systems miss physical causality, while video-first models better understand how objects move and react. Mimic claims its system can achieve similar results with 10x less training data, learning complex bimanual tasks like sorting and tape handling with only a few hours of demonstrations.

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