Research
Tsinghua's vision-driven soccer humanoid makes the cover of Science Robotics, trained entirely in simulation
A Tsinghua University team working with ByteDance Seed and China Agricultural University published a reinforcement learning controller in Science Robotics on August 19, 2026 that links a humanoid's camera directly to its legs. On Booster Robotics' T1, the authors report a 46% cut in ball-position error, up to 64% faster time-to-kick and about 90% kick success in frontfield positions, with no real-world fine-tuning.