Papers
14
Total Citations
1,453
H-Index
9
About
Bernard Mettler is a leading researcher in autonomous systems, robotics, and human-machine interaction, with a focus on unmanned aerial vehicles (UAVs) and motion planning. His seminal 2009 survey on motion planning algorithms for autonomous UAV guidance has garnered over 750 citations, establishing a foundational framework for the field. Mettler’s early work on identification modeling and characteristics of miniature rotorcraft (377 citations) advanced the understanding of small-scale aerial vehicle dynamics, enabling more precise control and autonomy. He has also made significant contributions to trajectory planning under uncertainty, notably through his receding horizon approach with environment-based cost-to-go functions, which provides a robust method for real-time 3D navigation in dynamic environments. Beyond algorithms, Mettler investigates human performance in teleoperated search tasks, analyzing visuo-motor control and coordination to improve human-robot teaming for applications like search and rescue. His research bridges theory and practice, with support from agencies such as ONR and NSF, and his work on probabilistic search and human planning continues to shape the next generation of autonomous guidance systems.
Research Focus
Key Achievements
Top Papers
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- 2Identification Modeling and Characteristics of Miniature Rotorcraft377 citations · 2003
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- 6Near-optimal probabilistic search using spatial Fourier sparse set19 citations · 2017
- 7Research Infrastructure for Interactive Human- and Autonomous Guidance16 citations · 2012
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