Al-Thaddeus Avestruz

University of Michigan–Ann Arbor

Papers

3

Total Citations

33

H-Index

3

About

Al-Thaddeus Avestruz is a pioneering researcher at the intersection of power electronics and robotics, with a particular focus on wireless power transfer (WPT) technologies for autonomous and mobile robotic systems. His work addresses one of the most pressing challenges in modern robotics: reliable, flexible energy delivery to dynamic, mobile platforms operating in complex environments. Avestruz has made significant contributions to advancing WPT for heterogeneous robot swarms, lightweight UAVs, and modular robotic systems. His development of Code Division Multiple Access energy transfer frameworks enables multiple robots to share power simultaneously, dramatically increasing mission flexibility for swarm-based applications. His investigation of VHF-range (100 MHz) wireless power transfer demonstrated that operating at very high frequencies, combined with segmented air-core coils, can meet the demanding requirements of agile robots and UAVs, including tolerance to misalignment and reduced system weight. His work on bidirectional capacitive WPT further extends these capabilities to modular robot architectures, enabling intelligent energy balancing between reconfigurable components. With a growing body of work accumulating over 30 citations across key 2020 publications alone, Avestruz is establishing himself as an influential voice in the emerging field of autonomous robotic energy systems, offering practical solutions that bridge fundamental power electronics with cutting-edge robotics applications.

Research Focus

Key Achievements

3
H-Index
3
Papers
33
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Code Division Multiple Access Wireless Power Transfer for Energy Sharing in Heterogenous Robot Swarms
14 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Michigan–Ann Arbor

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago