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The system coordinates the movements and strikes of two robots sharing the same space, achieving a 13.2 per cent higher success rate in simulation than the best existing method.
By modelling all machines within a shared anatomical workspace, GreenWAM serves both as a predictive simulator and a control policy, even for a real humanoid.
Having worked on the Model 3, Apple’s car project and Ford’s electric vehicle strategy, Doug Field is taking on the role of chief operating officer at a start-up that has already raised over a billion dollars.
Researchers propose a scale from L0 to L5 to characterise the self-improvement of robots and note that no published work actually reaches the recursive stage.
This three-step learning framework achieves 85.7% simulation success from an on-board vision, and up to 76% of a human's success rate on the real robot.
Ars Technica describes Amazon’s race to develop robotic arms, as the company opens new factories in Texas and Indiana, and the questions raised by the close coexistence of robots and 1.5 million employees.
Alibaba is leading the Series A funding round for this start-up, which aims to refuel, inspect and deorbit satellites using flexible arms, and is targeting a docking demonstration in 2027.
The automation specialist aims to combine its expertise in precision control with OnLogic’s hardware to build physical AI platforms and expand in the United States.
The Chinese Intellectual Property Office has published a BYD patent for an ‘embodied intelligence robot’, whilst the unveiling promised for August has still not taken place.
Founded this year by Hu Han, former head of robotic modelling at Tencent, Winverse is reportedly raising tens of millions of dollars from DeepSeek and Long-Z (Meituan).
By generating counterfactual variants of recorded movements and assessing the physical plausibility of the predicted videos, DreamTrue reduces the interaction failure rate from 48 per cent to 6 per cent.
A campaign carried out in 2025 at the LUNA facility showed that the quadrupeds traversed the simulated lunar regolith, but slipped, sank into it, kicked up dust and lost visibility under low-angle lighting.
According to PitchBook, as reported by the Financial Times, robotics start-ups raised nearly $48 billion in 2026. An increasing proportion of this funding is being used to film people at work in order to train the models.
Led by Patrick Soon-Shiong, in partnership with AstraZeneca and Teradyne, the Series B funding round is intended to expand robotic ‘clusters’ that replicate the movements of technicians without the need for further regulatory approval.
By predicting body and hand movements rather than joint commands, the AI can be trained on 140 million images, 93 per cent of which depict humans.
By combining reinforcement learning with the imitation of eight specialised policies, researchers are training a single multi-task controller, deployed on a Unitree B1 quadruped.
The Scottish start-up is relying on a gripper rather than a suction cup, and on software that continuously learns, with more than 200 potential customers in its pipeline.
The German Transport Minister considered the name to be misleading. In return for the change, he will support the system’s approval across the EU ahead of a vote expected by the end of the year.
The Brooklyn-based start-up, which rents out its robots to warehouses on a monthly subscription basis, has secured a $50 million Series A funding round led by Framework Ventures and is strengthening its partnership with Physical Intelligence.
Rather than being subject to odometry drift, the robot plans deliberate contacts with walls and obstacles in order to re-localise itself, and reaches its destination more often than the benchmark methods.