• LiDAR Technology: Focusing on point cloud processing algorithms and 3D environment reconstruction
• UAV Systems: Autonomous navigation, trajectory planning, and multi-drone coordination
• Multi-Region Coverage Algorithms: Hamiltonian path-based coverage planning for complex environment exploration tasks
• Computer Vision: Object detection and scene understanding combining LiDAR and visual sensors
• Neural Networks & Deep Learning: Application of deep learning techniques for perception, decision-making, and control in autonomous systems, including CNN/RNN architectures for sensor data processing and reinforcement learning for robot policy optimization

An algorithm for generating optimal Hamiltonian paths in multi-region environments with obstacles. This work was presented at [Conference Name] and builds upon the BEVPlace2 framework.

Contributed to this project by optimizing the LiDAR-based global localization method for unmanned ground vehicles.

Participated in the Tianbot competition using the Tianracer platform for autonomous navigation challenges.

• One Accepted， One under review

• Email: kajokajg441@gmail.com