Weinan Chen

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About

Weinan Chen is an emerging researcher specializing in autonomous robotics, multi-robot systems, and visual simultaneous localization and mapping (VSLAM). His work sits at the intersection of robot perception, motion planning, and collaborative intelligence, addressing some of the most pressing challenges in modern robotics. Chen's most notable contribution is a comprehensive survey on autonomous robots and multi-robot navigation, which has already accumulated 36 citations since its 2024 publication — a remarkable milestone reflecting its value as a foundational reference for researchers entering the field. The survey synthesizes advances in perception, planning, and multi-robot collaboration, offering a structured overview of how communication resources can be leveraged to enhance autonomous systems. Building on this foundation, his more recent work introduces VC-SLAM, a novel cloud–edge collaborative framework that applies Variable-Order Chebyshev-KAN networks to optimize VSLAM transmission. This addresses a critical bottleneck in mobile robotics: the computational constraints of onboard processing. By intelligently distributing workloads between edge devices and cloud infrastructure, VC-SLAM improves real-time performance and transmission resilience. Chen's research trajectory suggests a strong commitment to making autonomous robots more capable, efficient, and collaborative — contributions that are increasingly vital as robotics moves toward large-scale real-world deployment.