Papers

24

Total Citations

464

H-Index

10

About

Michael A. Gennert is a prominent robotics researcher whose work spans humanoid robot control, disaster-response robotics, and robotics engineering education. He is perhaps best known for his leadership of Team WPI-CMU in the landmark DARPA Robotics Challenge (DRC), where his team developed innovative strategies for reliable humanoid behavior using the Atlas robot platform. Their signature "no falls, no resets" philosophy—emphasizing fail-safe controllers and human-in-the-loop supervision—earned widespread recognition, reflected in over 100 citations for their foundational DRC paper. Gennert's contributions extended across the full spectrum of humanoid operation, from traversing doors in unstructured environments to motion planning via the BiRRTOpt framework, which combined sampling-based and optimization-based approaches for robust robot movement. Beyond his technical achievements, Gennert has made a lasting impact on robotics education: he was instrumental in establishing one of the first undergraduate Robotics Engineering degree programs in the United States at Worcester Polytechnic Institute in 2007, a pioneering initiative he has continued to champion and document throughout his career. His work reflects a sustained commitment to both advancing humanoid robotics capabilities and building the next generation of robotics engineers.

Research Focus

Key Achievements

10
H-Index
24
Papers
464
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
No falls, no resets: Reliable humanoid behavior in the DARPA robotics challenge
105 citations · 2015
📈 Most Prolific Year: 2020 (10 Papers)
🤝 Key Collaborators: 71
🏛 Institutions: Worcester Polytechnic Institute, University of California, Riverside

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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