Qi Ying

Duke University

Papers

2

Total Citations

145

H-Index

2

About

Qi Ying is a pioneering researcher at the intersection of robotics and computer architecture, whose work has fundamentally redefined how robot motion planning is executed. Her primary research areas include hardware acceleration for robotics, real-time motion planning, and custom VLSI design for autonomous systems. Ying’s major contribution is the development of the first dedicated hardware accelerator for robot motion planning, a breakthrough that replaces traditional software-based algorithms with specialized circuitry. Her seminal paper, "Robot Motion Planning on a Chip" (87 citations), introduced a method to construct robot-specific circuits that generate motion plans approximately three orders of magnitude faster than existing approaches, using collision detection circuits built on probabilistic roadmaps. This work was further detailed in "The microarchitecture of a real-time robot motion planning accelerator" (58 citations), where she presented the microarchitecture and an FPGA prototype that experimentally confirmed the three-order-of-magnitude performance improvement. Ying’s innovations are transformative for real-time robotics, enabling faster, more reliable autonomous navigation in dynamic environments. Her achievements have positioned her as a leader in robotic hardware design, bridging the gap between computational theory and practical, high-speed robotic control.

Research Focus

Key Achievements

2
H-Index
2
Papers
145
Total Citations
73
Avg Citations/Paper
🏆 Most Cited Paper
Robot Motion Planning on a Chip
87 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Duke University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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