Papers

17

Total Citations

451

H-Index

11

About

Michael Wolf is a versatile robotics researcher whose work spans human-robot interaction, autonomous systems, and multi-robot coordination, with significant contributions developed through NASA's Jet Propulsion Laboratory. He is perhaps best known for pioneering the BioSleeve, a wearable device combining surface electromyography and inertial measurement unit sensors to enable intuitive, gesture-based robot control — work that generated over 200 cumulative citations across multiple publications and demonstrated compelling advances in variable-autonomy human-robot interfaces. His research into autonomous surface vehicles produced influential systems capable of 360-degree maritime perception and multi-vessel tracking, while his later work on the CARACaS platform extended these ideas to coordinated swarms of unmanned surface vehicles. Wolf has also contributed meaningfully to subterranean exploration robotics, developing supervised autonomy frameworks for communication-degraded environments. Early in his career, he explored affective robotics through the Huggable therapeutic companion, addressing real-world healthcare needs. More recently, Wolf has applied deep learning to predict congestion in large-scale warehouse robot fleets, reflecting his adaptability across domains. Spanning therapeutic companions to planetary-scale autonomy challenges, his body of work reflects a sustained commitment to making robots more capable, intuitive, and resilient across diverse real-world environments.

Research Focus

Key Achievements

11
H-Index
17
Papers
451
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Gesture-based robot control with variable autonomy from the JPL BioSleeve
103 citations · 2013
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 76
🏛 Institutions: California Institute of Technology, Jet Propulsion Laboratory, Amazon (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago