Jacob Knoll
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
Top Papers
- 1Intelligent Range-Only Mapping and Navigation for Mobile Robots28 citations · 2017
- 2
- 3A ZigBee-based framework for approximating sensor range and bearing8 citations · 2017
- 4Virtual robot experiments for navigation in structured environments4 citations · 2017