Papers
4
Total Citations
31
H-Index
3
About
Jacob Anderson is a robotics researcher whose work focuses on the frontier of autonomous underwater vehicle (AUV) navigation and multi-agent coordination. His key research areas include cooperative localization, communication-aware planning, and the integration of environmental data for robotic guidance. Anderson’s most impactful contribution is his work on decentralized terrain-based navigation (dec-TBN), where he developed a communication planning algorithm that uses forward simulation to determine the optimal moments for AUVs to share data, dramatically improving the accuracy of cooperative localization. His 2017 paper on heterogeneous aquatic robots, which has garnered 14 citations, established foundational methods for fusing data from multiple sensor types over complex environments like coral reefs. Additionally, his 2020 review on Environmental Niche Modeling introduced a novel methodology for using species habitat data to guide underwater navigation, bridging ecology and robotics. Anderson has also contributed to practical validation testbeds, integrating sensor buoys to create real-world testing environments for marine algorithms. With a total of 31 citations across his most-cited works, Anderson is recognized for advancing the reliability and intelligence of autonomous systems in challenging, unstructured aquatic environments.
Research Focus
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