A single destination for timely, editor-curated robotics news from around the world.
NVIDIA's Vera Rubin is redefining post-training workloads for agentic AI, emphasizing continuous adaptation and refinement. Unlike traditional models, agentic AI requires ongoing adjustments as environments and tools evolve, making post-training a critical, never-ending process. This shift necessita...
Sun Peng, a former core researcher in AI at ByteDance and Tencent, has joined Stardust Intelligence to improve post-training processes in robot reinforcement learning. This move is expected to enhance the capabilities of robots in learning from their environments more effectively. The significance...
On January 30, 2026, SpaceX filed with the FCC to launch up to 1 million AI compute satellites, positioning orbital data centers as a solution to the increasing demand for AI computing power. Ground data centers are facing significant challenges, with energy consumption projected to reach approximat...
At the ICRA 2026 REAL-I Challenge, the NUS-CLEAR team achieved a remarkable milestone by completing intricate robotic tasks in a single day, a process that typically required engineers between five to seven days. This significant improvement in efficiency is largely due to their pioneering post-trai...
Shenzhen Hetao College, in partnership with Harbin Institute of Technology (Shenzhen), the Shenzhen Big Data Research Institute, and Huawei, has announced a significant advancement in domestic artificial intelligence computing. The collaborative effort culminated in the successful completion of a fu...
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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