King-Ip Lin

University of Memphis

Papers

1

Total Citations

12

H-Index

1

About

King-Ip Lin is a roboticist whose work centers on the fundamental challenge of autonomous exploration in three-dimensional environments. His most-cited paper, "Minimum-Energy Robotic Exploration: A Formulation and an Approach" (2014, 12 citations), makes a critical contribution by providing a rigorous mathematical formulation for the problem of energy-efficient robot navigation in unknown 3-D spaces. Rather than proposing a single algorithm, Lin’s work establishes a formal framework that allows researchers to evaluate and compare the performance of future exploration algorithms against a clear theoretical baseline. This foundational approach has made his research a key reference for those working on autonomous systems, particularly in applications where energy constraints are paramount, such as planetary rovers, underwater vehicles, and search-and-rescue drones. By clarifying the underlying structure of the exploration problem, Lin has helped shape how the robotics community thinks about autonomy in complex, unstructured environments. His work stands as a valuable resource for students and researchers seeking to understand the theoretical underpinnings of efficient robotic exploration.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Minimum-Energy Robotic Exploration: A Formulation and an Approach
12 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Memphis

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago