Jipeng Kong (孔继鹏) is a graduate student in Computer Science at the School of Information Science and Technology, ShanghaiTech University, where he joined the MARS Lab in 2024. His research interests lie in autonomous systems and embodied AI, with a focus on robotic perception and control.
Education
- 2024.9 – Present M.S. in Computer Science, School of Information Science and Technology, ShanghaiTech University
- 2020.9 – 2024.6 B.E. in Robotics Engineering, School of Mechanical Engineering, University of Shanghai for Science and Technology
Projects
- Multi-Sensor Mapping Robot Platform
Built and maintained a state-of-the-art unmanned ground vehicle (UGV) designed for autonomous mapping and dataset collection. The robot integrates a comprehensive sensor suite, including RGB/RGB-D/event/IR cameras, LiDARs, mmWave radars, IMUs, ultrasonic sensors, and a GNSS RTK receiver. It supports tasks in computer vision and autonomous driving research. - Imitation Learning for Robotic Grasping
Trained a deployable policy for a robotic arm using imitation learning techniques. The system enables robust object grasping in tabletop scenarios.