Path Generation for Rapid Filling of Planar Areas
Jun 1, 2022
·
1 min read
Undergraduate Thesis (Aug 2021 — Jun 2022)
- Researched and developed algorithms for generating optimized parallel curves to fill planar areas efficiently.
- Focused on applications in coverage path planning for robotics and manufacturing.
- Awarded Scholarship for Academic Excellence (Top 10%) sponsored by AEON.
Authors
Shengfan Cao
(he/him)
PhD Researcher in Autonomous Driving & Robotics
PhD researcher with 3+ years of hands-on experience in autonomous driving and robotic systems, spanning safe learning, control, and end-to-end autonomy deployment. I am transitioning into industry to work where large-scale data and real-world constraints continuously shape and validate learning-based autonomous systems.