ICRA 2026 Best Paper Award Finalist: Qianxun Intelligent Chief Scientist, Tsinghua Gao Yang Team FP3
A research team from Tsinghua University, led by Gao Yang, has developed a new embodied AI model called FP3. This model utilizes pre-training and 3D point cloud representation to achieve over 90% success rate on various robotic tasks, significantly outperforming existing baseline methods. FP3 demonstrates robust performance in zero-shot testing on unseen objects and environments, with an average success rate exceeding 80%. The researchers also highlighted potential improvements, including integrating with large visual-language models and enhancing its 2D feature fusion capabilities. AI
IMPACT Sets a new benchmark for embodied AI task success, potentially accelerating progress in robotics and real-world AI applications.