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Tencent Cloud has launched an integrated multimodal data and model training stack designed to accelerate the deployment of physical AI in humanoid systems.
Italian startup Generative Bionics is scaling its physical AI infrastructure with a dedicated facility designed to train its GENE.01 industrial humanoid for complex labor.
Alibaba's Amap released Lambda-0, a whole-body humanoid model trained on 500 hours of egocentric human video that deploys directly onto the Unitree G1.
Shenzhen-based DexForce has raised funding to develop virtual workplace simulations, aiming to reduce the cost and accelerate the deployment of humanoid robots in industrial settings.
Mecka AI has raised a $60 million round led by Sequoia Capital to gather human motion data for training humanoid robots and enterprise work platforms.
As data providers invest heavily in human movement capture, the race to make bipedal machines walk and work more naturally enters a new phase.
New MIT research on AI-generated virtual environments aims to bridge the gap between training and real-world performance for robots like the Unitree G1.
Tesla is training its Optimus humanoid robot using data from real employees at its Gigafactory, aiming to enhance its capabilities for practical home and workplace assistance.
Flexion's CEO warns that while teleoperation is essential for humanoid robot training, long-term progress depends on reinforcement learning and simulation techniques.