Papers
3
Total Citations
8
H-Index
2
About
Yuanxin Wang is a pioneering researcher in autonomous robotics, with key contributions spanning semantic navigation, human-robot cooperation, and space robotics. Wang’s work addresses critical challenges in intelligent systems, from logistics to orbital assembly. Their 2025 paper, “OpenBench: A New Benchmark and Baseline for Semantic Navigation in Smart Logistics” (3 citations), establishes a foundational framework for autonomous last-mile delivery, moving beyond resource-intensive high-precision maps to learning-based navigation that enhances efficiency and reduces costs. Earlier, Wang explored human arm biomechanics in “Characteristics of the Human Arm Based on a Musculoskeletal Model of Cooperative Motion between Two Humans” (2008, 3 citations), developing a mass-spring-damper-friction model to analyze master-slave and master-semi-master cooperative motions—work that underpins intuitive human-robot interaction. Most recently, Wang’s “Inertia-adaptive trajectory planning of a dual-arm space robot for rapid in-space assembly” (2025, 2 citations) tackles the demanding domain of orbital construction, enabling adaptive control for precise, rapid assembly in microgravity. With a career bridging terrestrial logistics and extraterrestrial robotics, Wang’s research demonstrates a consistent drive to make autonomous systems more adaptive, efficient, and collaborative—impacting fields from warehouse automation to space infrastructure.
Research Focus
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Top Papers
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