Papers

5

Total Citations

18

H-Index

3

About

Qing Xue is a robotics researcher whose work has centered on the challenging problems of motion planning, path planning, and multi-robot coordination. Active primarily during the early-to-mid 1990s, Xue made meaningful contributions to the field of autonomous robotic systems, particularly in developing algorithms for collision-free navigation in complex environments. Xue's most significant work focused on coordinated manipulation, exploring how multiple robotic arms working in tandem could safely transport objects through cluttered workspaces. His 1995 paper on the modified A* algorithm for 5-link closed chain systems — his most cited work with 7 citations — demonstrated innovative approaches to path search graph construction for tightly coupled dual manipulator systems. Earlier foundational work from 1990 addressed trajectory planning for cooperating robots carrying common rigid objects, introducing minimum-time algorithms applicable to three-dimensional workspaces. A recurring theme across Xue's publications is the reconfigurable mobile robot equipped with manipulators, a research direction ahead of its time given today's interest in mobile manipulation platforms. His doctoral thesis synthesized these threads into comprehensive collision-free path planning frameworks. While his citation counts are modest, his research addressed genuinely difficult combinatorial and geometric problems that remain relevant to modern robotics and autonomous systems research.

Research Focus

Key Achievements

3
H-Index
5
Papers
18
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
DETERMINING THE PATH SEARCH GRAPH AND FINDING A COLLISION-FREE PATH BY THE MODIFIED A* ALGORITHM FOR A 5-LINK CLOSED CHAIN
7 citations · 1995
📈 Most Prolific Year: 1990 (3 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Indiana University – Purdue University Indianapolis, University of Indianapolis

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago