260 citations · 270 across the 6 of their papers we have counts for
6 papers
An Efficient Approach to the Online Multi-Agent Path Finding Problem by Using Sustainable Information
Mingkai Tang, Boyi Liu, Yuanhang Li +3
Multi-agent path finding (MAPF) is the problem of moving agents to the goal vertex without collision. In the online MAPF problem, new agents may be added to the environment at any…
ElasticROS: An Elastically Collaborative Robot Operation System for Fog and Cloud Robotics
Boyi Liu
Robots are integrating more huge-size models to enrich functions and improve accuracy, which leads to out-of-control computing pressure. And thus robots are encountering bottleneck…
Peer-Assisted Robotic Learning: A Data-Driven Collaborative Learning Approach for Cloud Robotic Systems
Boyi Liu, Lujia Wang, Xinquan Chen +2
A technological revolution is occurring in the field of robotics with the data-driven deep learning technology. However, building datasets for each local robot is laborious. Meanwh…
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
Boyi Liu, Lujia Wang, Ming Liu +1
Humans are capable of learning a new behavior by observing others to perform the skill. Similarly, robots can also implement this by imitation learning. Furthermore, if with extern…
Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
Boyi Liu, Lujia Wang, Ming Liu +1
Humans are capable of learning a new behavior by observing others perform the skill. Robots can also implement this by imitation learning. Furthermore, if with external guidance, h…
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
Boyi Liu, Lujia Wang, Ming Liu
This paper was motivated by the problem of how to make robots fuse and transfer their experience so that they can effectively use prior knowledge and quickly adapt to new environme…