Michael Hagenow
University of Wisconsin–Madison, Massachusetts Institute of Technology
Papers
6
Total Citations
28
H-Index
4
About
Michael Hagenow is a leading researcher in human-robot collaboration, with a focus on shared autonomy and assistive robotics for complex industrial tasks. His major contributions include developing corrective shared control (CSC) systems that reduce physical and cognitive workloads in tasks like sanding, as demonstrated in his highly cited 2024 paper (7 citations). Hagenow also pioneered coordinated multi-robot shared autonomy, enabling seamless teamwork between humans and multiple robots through scheduling and demonstrations (2023, 6 citations). His innovative work on automated drone viewpoints for remote robot manipulation (2022, 6 citations) addresses critical challenges in teleoperation, while his system for end-user programming and shared autonomy (2024, 5 citations) empowers skilled workers to deploy robots without deep technical expertise. Most recently, his REALM framework (2025, 2 citations) provides real-time assistance estimates for learned models, advancing adaptive human-robot teaming. Hagenow’s research, spanning affordance template registration to collaborative sanding, has accumulated over 28 citations, reflecting its impact on making robots more intuitive and effective partners in manufacturing and beyond.
Research Focus
Key Achievements
Top Papers
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- 6Affordance Template Registration via Human-in-the-loop Corrections2 citations · 2021