Dingcheng Jiang
Papers
2
Total Citations
3
H-Index
1
About
Dingcheng Jiang is a rising researcher in energy-efficient robotics and embedded systems, with a focus on real-time localization and mapping for autonomous mobile robots (AMRs). His work centers on accelerating the Extended Kalman Filter Simultaneous Localization and Mapping (EKF-SLAM) algorithm—a cornerstone of robotic navigation—through custom hardware-software co-design. Jiang’s major contributions include the development of a reconfigurable, high-frame-rate EKF-SLAM accelerator implemented on a ZYNQ-7000 FPGA-based System-on-Chip (SoC), which integrates multi-sensor inputs from wheel encoders and LiDAR to achieve full algorithmic acceleration. His 2024 live demonstration and 2025 journal paper, though recently published, showcase a processor that balances energy efficiency with real-time performance, enabling AMRs to operate in edge environments without cloud dependency. With early citations already accumulating, Jiang’s work addresses critical bottlenecks in power-constrained robotics, offering a scalable path toward autonomous navigation in smart factories and service robots. His achievements highlight a promising trajectory in bridging algorithm innovation with practical, low-power hardware deployment.
Research Focus
Key Achievements
Top Papers
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