DeepMind introduces Gemini Robotics 2.5 for robot dexterity
DeepMind reports 30% to 100% higher success, faster tasks, and 96% kitting success on Mercedes-Benz lines.
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DeepMind reports 30% to 100% higher success, faster tasks, and 96% kitting success on Mercedes-Benz lines.

Tau's AI-guided robots collect cleaning data to train autonomous models while charging $30-$100 per session with remote human pilots.
HALO achieves 91 percent success on composite tasks in unmapped real homes by scaling simulation data rather than human teleoperation.

The automaker aims to deploy 400,000 robots, with its own factories first, while rivals include Tesla, Xpeng and Hyundai.
The three-stage pipeline reports state-of-the-art simulation results and higher Unitree G1 pick-and-drop success.
SIREN found attacks in every vulnerable SPARK scenario and caused a real humanoid to collide during tasks.
A frozen whole-body controller executes joints while a compact planner outputs future body-point targets via a 32-dimensional decoder.
A vision-language-action model predicts five sparse poses, then a tracker combines them with a learned motion prior.
Researchers generate deployable Unitree G1 humanoid controllers by diffusing learned policy weights.
A flow-matching student distilled by DAgger runs on proprioception alone and was tested on the Unitree-G1.

Tesla workers refused to train Optimus humanoids they believed would replace them, so Tesla moved data collection to dedicated teams.

Agility Robotics unveils Digit 5 humanoid robot that autonomously stops, moves, or squats to avoid harming nearby human coworkers.

Report details Unitree founder Wang Xingxing's extreme cost-cutting and micromanagement driving cheap humanoid robots amid record core staff attrition.

Hands-on review finds the $4,017 Unitree Go2 Pro robot dog affordable but impractical, as Unitree reaches a $34 billion valuation after its IPO.

Mecka AI, which collects human motion data for robot training, is nearing a Sequoia-led round at about a $500 million valuation.

Ex-Google DeepMind researcher Danijar Hafner founded a stealth robotics startup applying world models and model-based reinforcement learning to humanoid agents.
An essay argues AI capex ($1.0–1.3T in 2026) now rivals global human-benefit spending and predicts shortages spreading from DRAM/HBM to cars and appliances.

MIT Technology Review reports on China's humanoid robot industry push and embodied AI strategy from a Shanghai event.
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