My primary research interest lies in developing intelligent and reliable robotic systems
that better understand and express human intentions to reduce labor costs in real-world applications.
To achieve this goal, my recent work focuses on leveraging trajectory optimization and generative models
to create adaptable robotic solutions.
I'm particularly interested in bridging high-level human instructions with physical implementations through text-to-motion frameworks
and enhanced scene understanding capabilities.
Pulications
Automatic Generation of Aerobatic Flight in Complex Environments via Diffusion Models
Yuhang Zhong, Anke Zhao, Tianyue Wu, Tingrui Zhang and Fei Gao
This project develops a heterogeneous multi-UAV system integrating LiDAR and vision sensing for
autonomous navigation in complex environments while maintaining precise formation control.
The system supports distributed formation management, enabling dynamic entry and exit of individual drones
without disrupting the formation.
