Scholar
Tin Lai
Google Scholar ID: Y24-XRsAAAAJ
University of Sydney
Citations & Impact
Citations
884
H-index
18
i10-index
23
Publications
20
Co-authors
0
Resume (English only)
Academic Achievements
- 1. Developed the Rapidly-exploring Random disjointed-Trees* algorithm for accelerating planning in cluttered spaces; 2. Created projects like the Interactive Sydney Radio Star Catalog; 3. Released tools such as the echo360 Video Downloader.
Research Experience
- 1. Built machine vision systems for UAVs in Tokyo; 2. Collaborated with Nvidia and the University of Utah to explore how robots can plan their movements and learn new tricks; 3. Recently worked on autonomous submarines for Defence, teaching robots to recognize underwater landscapes using synthetic sonar data; 4. Explored eVTOL autonomy and unstructured landing using computer vision.
Education
- PhD from the University of Sydney, focusing on robot learning, motion planning, and probabilistic models.
Background
- A curious mind with a deep dive into robot learning, motion planning, and probabilistic models. Passionate about helping robots think, learn, and adapt in real-world environments.
Miscellany
- Interested in the mysteries of the universe and open to sharing and chatting.
Co-authors