Papers
1
Total Citations
4
H-Index
1
About
Yuqi Su is a pioneering researcher in hardware acceleration for robotics and scientific computing, with a focus on time-domain wavefront processing. Their most notable contribution is the development of a 32x32 Time-Domain Wavefront Computing Accelerator, published in 2021, which achieves high throughput and energy efficiency for path planning in autonomous navigation and robotic manipulation. This work, already cited 4 times, addresses critical bottlenecks in real-time decision-making for battery-powered micro-robots and high-resolution map-based arm-robot control. By leveraging FPGA and ASIC architectures, Su’s accelerator enables efficient processing of complex wavefront algorithms, bridging the gap between theoretical path planning and practical deployment in resource-constrained systems. Their research demonstrates a unique ability to translate computational challenges into hardware solutions, making significant strides in energy-efficient AI and robotics. Su’s work is particularly impactful for students and researchers exploring neuromorphic computing, embedded systems, and autonomous navigation, offering a tangible example of how custom hardware can revolutionize real-world applications.
Research Focus
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Top Papers
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