Duncan Abbot

University of Michigan–Ann Arbor

Papers

1

Total Citations

8

H-Index

1

About

Duncan Abbott is a researcher advancing the frontier of modular robotics, with a primary focus on wireless power transfer and energy management for reconfigurable systems. His most-cited work, "Bidirectional Capacitive Wireless Power Transfer for Energy Balancing in Modular Robots" (2020, 8 citations), tackles a critical challenge in the field: how to power dynamic, reconfigurable robotic structures without compromising their ease of assembly or form factor. Abbott’s key contribution lies in developing a bidirectional capacitive power transfer method that enables energy balancing between modules, allowing for more versatile and self-sustaining robotic networks. This work directly addresses the need for efficient power distribution in complex, modular systems—an essential step toward practical applications in search-and-rescue, manufacturing, and exploration. While his citation count is modest, the novelty of his approach underscores its potential to influence future designs in wireless power and modular robotics. Abbott’s research bridges electrical engineering and robotics, offering a scalable solution that could redefine how we power and coordinate multi-robot teams. For students and researchers, his work exemplifies how targeted innovations in energy transfer can unlock new possibilities in reconfigurable automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Bidirectional Capacitive Wireless Power Transfer for Energy Balancing in Modular Robots
8 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Michigan–Ann Arbor

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago