At Philadelphia!Attending AAAI and MAPF Workshop
Present my poster at AAAI conference!
I am a fianl-year undergraduate student in Robotics and currently visiting CMU Robotics Institute.
Pls reach out so we can go to a jazz concert, comic-con, or watch a movie together for no reason. In return, I happen to have a secret little alien friend who is doing organic robot learning on human-cat interaction and you are allowed to make it harder.
Visiting Intern
Carnegie Mellon University
Exchange Student
University of California, Berkeley
Undergraduate Student
South China University of Technology
The Multi-Agent Path Finding (MAPF) problem aims to find collision-free paths for multiple agents while optimizing objectives such as the sum of costs or makespan. MAPF has wide …
Multi-Agent Path Finding (MAPF) seeks collision-free paths for multiple agents from their respective starting locations to their respective goal locations while minimizing path …
Multi-Agent Path Finding (MAPF) seeks collision-free paths for multiple agents from their respective starting locations to their respective goal locations while minimizing path …
A two-stage learning pipeline for humanoid robot locomotion: Teacher Policy (RL) trained with privileged information in simulation, and Student Policy (IL) distilled from teacher …
A Qt-based visualizer for Continuous Multi-Agent Path Finding (MAPF) algorithms. Renders agent movements with smooth trajectories in continuous 2D space.
Present my poster at AAAI conference!
See u in Pittsburgh!
My first, first-author paper is accepted by AAAI 2025!