Papers
63
Total Citations
1,014
H-Index
19
About
Douglas G. Macharet is a prominent robotics researcher whose work spans autonomous navigation, path planning, multi-robot systems, and robotic exploration. His contributions have significantly advanced how robots perceive, plan, and operate in complex real-world environments, earning him over 480 citations across his most impactful works. Macharet's early research laid important theoretical groundwork in trajectory generation, notably developing Bézier curve-based path planning methods and optimized solutions for nonholonomic Dubins' vehicles, which remain widely referenced in autonomous systems literature. He extended this foundation to multi-UAV coordination in obstacle-rich environments, demonstrating practical strategies for cooperative aerial navigation. His work has increasingly addressed real-world deployment challenges, including socially aware robot navigation in human-populated spaces, multi-robot coverage for geophysical surveys using hexagonal segmentation, and semi-autonomous inspection in confined environments through the EspeleoRobô project. His comprehensive survey on subterranean robotic exploration has quickly become a key reference for researchers tackling underground and industrial deployment scenarios. Macharet has also contributed to information-driven exploration strategies, telepresence robotics, and routing problem frameworks tailored for robotic systems. Together, these efforts establish him as a versatile and impactful figure bridging theoretical robotics with meaningful field applications, making his profile essential reading for researchers working at the intersection of autonomous systems and real-world deployment.
Research Focus
Key Achievements
Top Papers
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- 5Nonholonomic path planning optimization for Dubins' vehicles45 citations · 2011
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- 8A survey on routing problems and robotic systems39 citations · 2018
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- 10A collaborative control system for telepresence robots34 citations · 2012