Robotics

Recently, our robotics team published a paper in IJCV 2022 titled “Scene Reconstruction with Functional Objects for Robot Autonomy.” They introduced an innovative problem of scene reconstruction and representation, offering essential information for robotic autonomy while enabling interactive virtual scenes that closely mimic real-world scenarios for simulation testing.

A team led by Zhu Songchun, professor at the Institute of AI of Peking University, has built a computing framework for robots to understand human values in real time, enabling robots and human users to complete a series of complex human-robot collaboration tasks through real-time communication.