Zaisheng He

Papers

Total Citations

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About

Zaisheng He is a leading researcher in energy-efficient embedded systems for autonomous robotics, with a focus on real-time localization and mapping. His most cited work, "An Energy-Efficient, High-Frame-Rate, and Reconfigurable EKF-SLAM Processor With Full Acceleration for Autonomous Mobile Robots," introduces a groundbreaking hardware accelerator for Extended Kalman Filter Simultaneous Localization and Mapping (EKF-SLAM). This processor achieves high-frame-rate operation while dramatically reducing energy consumption, making it ideal for edge applications in autonomous mobile robots (AMRs). By reconfiguring the architecture to accelerate the full EKF-SLAM pipeline, He addresses a critical bottleneck in real-time navigation, enabling AMRs to operate efficiently in resource-constrained environments. His contributions bridge the gap between algorithmic complexity and practical deployment, with the work already garnering attention for its potential to revolutionize autonomous systems in logistics, inspection, and service robotics. He’s research exemplifies how hardware-software co-design can unlock new capabilities for intelligent edge devices, positioning him as a rising innovator in the field of robotics and embedded systems.