Baoteng Ma

Northwestern Polytechnical University, Harbin Institute of Technology

Papers

Total Citations

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About

Baoteng Ma is a robotics researcher whose work focuses on the intersection of human-robot interaction, real-time perception, and embedded systems. His key research areas include massage robotics, sensor fusion, and high-performance computing for autonomous navigation. In his 2019 paper on massage robot design, Ma introduced a compact, multi-technique back massage robot, optimizing motor placement, spring mechanisms, and connecting parts to achieve a versatile and space-efficient therapeutic device. This work, cited 5 times, demonstrates his ability to integrate mechanical design with practical healthcare applications. More recently, Ma tackled a critical challenge in mobile robotics: maintaining accurate localization under physical disturbances. His 2022 paper, "RIA-CSM: A Real-Time Impact-Aware Correlative Scan Matching Using Heterogeneous Multi-Core SoC," addresses the vulnerability of robots to impacts in crowded environments. He proposed a novel algorithm that corrects erroneous priors caused by collisions while managing the high computational load through heterogeneous multi-core system-on-chip (SoC) architectures. This work, also with 5 citations, highlights his expertise in real-time systems and robust perception. Ma’s contributions are notable for bridging mechanical design with advanced computing, offering practical solutions for both therapeutic and dynamic robotic applications.