Mark Nicholas Finean

University of Oxford, Robotics Research (United States)

Papers

5

Total Citations

51

H-Index

3

About

Mark Nicholas Finean is a robotics researcher whose work sits at the intersection of motion planning, human-aware navigation, and real-time perception for dynamic environments. His core contributions focus on enabling mobile manipulators to operate safely and efficiently around people by integrating whole-body motion planning with context-aware human trajectory prediction. Finean’s most cited paper (2023, 24 citations) introduces a practical framework that fuses these elements, addressing a critical gap in the literature. He has also pioneered the use of composite signed-distance fields for real-time motion re-planning (2020) and developed a system for simultaneous scene reconstruction and collision-free planning (2021, 12 citations). Notably, his work on optimized gaze control (2021, 10 citations) tackles the challenge of deciding where a robot should look to best perceive its surroundings for collision avoidance. With a growing citation record and a focus on deployable, integrated systems, Finean is advancing the state of the art in safe, autonomous robot operation in human-populated spaces.

Research Focus

Key Achievements

3
H-Index
5
Papers
51
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Motion planning in dynamic environments using context-aware human trajectory prediction
24 citations · 2023
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Oxford, Robotics Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago