Jacob Knoll

Bradley University, Boeing (United States)

Papers

4

Total Citations

66

H-Index

4

About

Dr. Jacob Knoll’s research lies at the intersection of mobile robotics, autonomous navigation, and multi-robot systems, with a focus on solving the foundational challenge of simultaneous localization and mapping (SLAM). His most influential work, “Intelligent Range-Only Mapping and Navigation for Mobile Robots” (28 citations), tackles the enduring problem of enabling a robot to navigate and map an unknown environment using only range measurements—a critical step toward truly autonomous systems. Building on this, his paper “Area Coverage Optimization Using Heterogeneous Robots” (26 citations) introduces and experimentally validates a generalized algorithm for deploying teams of diverse robots to achieve nonuniform coverage, advancing theoretical work into practical, real-world applications. Knoll also contributed an open hardware framework using ZigBee to approximate sensor range and bearing, directly supporting SLAM solutions, and developed a cost-effective virtual robot platform for structured navigation. His work is notable for bridging theory and experiment, offering scalable, hardware-accessible approaches that have informed both academic research and applied robotics. With a growing citation footprint, Knoll’s contributions continue to shape how robots perceive, map, and move through complex environments.

Research Focus

Key Achievements

4
H-Index
4
Papers
66
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Range-Only Mapping and Navigation for Mobile Robots
28 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Bradley University, Boeing (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago