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Robotics · RESEARCHPeking University Team Succeeds in 27 of 30 Real-Robot Dexterous Task Tests by Optimizing Hand-Object Configurations
A joint team from Peking University, PrimeBot, and the Beijing Institute for General AI has introduced DexHOT, a framework that optimizes hand-object configurations rather than just object poses, achieving a 90% success rate in real-robot dexterous manipulation tasks.
Auto · AUTONOMOUS DRIVINGBaidu's ApolloWorld Trains Apollo Go Robotaxis in a Virtual Environment
Baidu has introduced ApolloWorld, a world model that generates camera and LiDAR imagery and alters traffic environments to train and validate its Apollo Go robotaxis. Wang Liang, chief architect of Baidu's Intelligent Driving Group (IDG), described the model as an "examiner" for verifying autonomous driving safety.
Robotics · ROBOTICSLiberAI Launches Liber-0 to Transfer Human Action Experience to Robots
On November 4, physical world model startup LiberAI released its world action model, Liber-0. The model was pretrained on more than 2.2 million hours of human experience data. The team evaluated its zero-shot performance on 60 manipulation tasks proposed by GPT-6, conducting 600 test rounds across three categories of 20 tasks each, with every task repeated 10 times.
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