Mengwen Yuan — accepted AI-conference papers

2024

CASRL: Collision Avoidance with Spiking Reinforcement Learning Among Dynamic, Decision-Making Agents

Chengjun Zhang, Ka-Wa Yip, Bo Yang, Zhiyong Zhang, Mengwen Yuan, Rui Yan +1

IROS 2024poster

Developing an efficient collision avoidance policy with Spiking Reinforcement Learning for dynamic, decision-making agents remains challenging. Moreover, the implementation of energy-efficient collision avoidance is important for mobile robots that operate with limited on-board computing resources.…

Cited by 0 Source ↗Scholar ↗

2023

Spiking Reinforcement Learning with Memory Ability for Mapless Navigation

Bo Yang, Mengwen Yuan, Chengjun Zhang, Chaofei Hong, Gang Pan, Huajin Tang

IROS 2023poster

Our study focuses on mapless navigation in robotics, which involves navigating without an established obstacle map of the environment. Spiking Neural Networks (SNNs) have recently been applied to this task using Deep Reinforcement Learning (DRL), but face challenges in dynamic and partially observab…

Cited by 3 Source ↗Scholar ↗