About

Brett Browning is a robotics researcher whose work spans robot learning, autonomous systems, multiagent planning, and human-robot interaction. He is perhaps best known as a co-author of the landmark 2008 survey "A Survey of Robot Learning from Demonstration," one of the most influential papers in robotics with over 3,200 citations, which comprehensively mapped the field of teaching robots through example rather than explicit programming. Building on this foundation, Browning developed algorithms enabling robots to learn control policies through interactive teacher feedback, advancing more natural and efficient robot training paradigms. His research extends into practical field robotics, including visual SLAM for localization, actuated LiDAR calibration, and pioneering vision-based pipe inspection systems for the natural gas industry — work with direct industrial safety applications. In multiagent systems, Browning contributed to opponent-adaptive play selection for robot soccer teams, demonstrating how coordinated autonomous teams can operate in adversarial environments. He has also explored human-robot teaming through sliding autonomy frameworks and investigated the social dimensions of robotics, arguing compellingly for believable robot characters in human-robot interaction. Across these diverse domains, Browning's contributions reflect a career committed to making robots more capable, cooperative, and genuinely useful in real-world settings.

Research Focus

Key Achievements

20
H-Index
50
Papers
4,283
Total Citations
86
Avg Citations/Paper
🏆 Most Cited Paper
A survey of robot learning from demonstration
3,252 citations · 2008
📈 Most Prolific Year: 2018 (7 Papers)
🤝 Key Collaborators: 60
🏛 Institutions: Carnegie Mellon University, Laboratoire d'Informatique de Paris-Nord, Robotics Research (United States), Carnegie Mellon University Qatar, The University of Queensland

Top Papers

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    Believable Robot Characters
    55 citations · 2011
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago