Tianyi Ding — accepted AI-conference papers

2025

Adaptive-Resolution Cooperative Field Mapping With Event-Triggered Distributed Map Fusion

Tianyi Ding, Ronghao Zheng, Senlin Zhang, Meiqin Liu

RA-L 2025

Cooperative scalar field mapping is an important task for multi-robot systems. However, the limited communication and computation resources of robots have hindered the application of cooperative field mapping in large-scale scenarios. This letter proposes an adaptive-resolution Gaussian process mapp

Cited by 1 Source ↗Scholar ↗

2024

Resource-Efficient Cooperative Online Scalar Field Mapping via Distributed Sparse Gaussian Process Regression

Tianyi Ding, Ronghao Zheng, Senlin Zhang, Meiqin Liu

RA-L 2024

Cooperative online scalar field mapping is an important task for multi-robot systems. Gaussian process regression is widely used to construct a map that represents spatial information with confidence intervals. However, it is difficult to handle cooperative online mapping tasks because of its high c

Cited by 6 Source ↗Scholar ↗