Hi, I'm Chendi Lin (林晨笛), a senior behavior-planning engineer for autonomous vehicles at NVIDIA. My work spans motion planning, trajectory selection, and multi-robot systems, informed by earlier roles at AutoX and Waymo and an M.S. in Robotics from Carnegie Mellon. Outside engineering, I travel, play sports, write, and am learning the craft of playwriting.
Research
Objaverse++: Curated 3D Object Dataset with Quality Annotations
A quality-annotated 3D dataset showing that carefully curated training data can outperform much larger, noisier collections.
1st Workshop on Curated Data for Efficient Learning (CDEL)
Online Connectivity-aware Dynamic Deployment for Heterogeneous Multi-robot Systems
A connectivity-aware approach that redistributes heterogeneous robots among moving tasks while keeping the team connected.
IEEE International Conference on Robotics and Automation
Online Connectivity-aware Dynamic Distribution for Heterogeneous Multi-Robot Systems
A unified framework for real-time task assignment, collision avoidance, and connectivity maintenance in heterogeneous robot teams.
Attitude Control System Complexity Reduction via Tailored Viscoelastic Damping Co-Design
A spacecraft co-design study using tailored viscoelastic materials to passively damp high-frequency vibration and reduce control-system demands.
AAS Rocky Mountain Section
Efficient Optimal Surface Texture Design Using Linearization
A linearized optimization method for designing high-resolution surface textures that reduce friction in lubricated sliding contact.
World Congress of Structural and Multidisciplinary Optimisation