| Proj No. | A1105-251 |
| Title | Human-following Robot Navigation in Crowded Environments |
| Summary | Human-following robots have significant applications in assistive robotics, elderly care, and service robots. However, navigating safely and efficiently in crowded environments presents numerous challenges, including dynamic obstacles, unpredictable human movement, and real-time decision-making requirements. In this project, we propose to develop a navigation algorithm that enables a robot to follow a specific human while avoiding obstacles in dynamic, crowded environments. The system will be implemented using ROS, leveraging sensor fusion from LiDAR, depth cameras, and IMU data, and tested on a real ground robot. Candidate should have familiarity with, or an interest in, ROS and motion planning algorithms. Regular bi-weekly meetings will be conducted to ensure steady progress and collaboration. |
| Supervisor | Prof Xie Lihua (Loc:S2 > S2 B2C > S2 B2C 94, Ext: +65 67904524) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Internet of Things Laboratory (Loc: S1-B4c-14, ext: 5470/5475) |
| Single/Group: | Single |
| Area: | Intelligent Systems and Control Engineering |
| ISP/RI/SMP/SCP?: |