Sumudu Samarakoon

Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning

2021 · IEEE Transactions on Communications

Cooperative perception plays a vital role in extending a vehicle’s sensing range beyond its line-of-sight. However, exchanging raw sensory data under limited communication resources is infeasible. Towards enabling an efficient cooperative perception, vehicles need to …

Maze Discovery using Multiple Robots via Federated Learning

2024 · arXiv (Cornell University)

This work presents a use case of federated learning (FL) applied to discovering a maze with LiDAR sensors-equipped robots. Goal here is to train classification models to accurately identify the shapes of grid areas within …