Daniele Tamino
Papers
1
Total Citations
8
H-Index
1
About
Daniele Tamino’s research lies at the intersection of mobile robotics, autonomous navigation, and environmental exploration. His most cited work, “Systematic floor coverage of unknown environments using rectangular regions and localization certainty” (2013, 8 citations), tackles the fundamental challenge of enabling a robot to methodically cover all accessible floor space in an unfamiliar setting. Tamino’s key contribution is a two-stage approach: first, partitioning the environment into rectangular regions, then sweeping each region with the classic boustrophedon (lawnmower) pattern. This strategy balances coverage completeness with localization certainty, ensuring the robot maintains reliable position estimates even as it explores. While his citation count reflects a focused, early-career impact, the work addresses a core problem in service robotics—how to guarantee full area coverage without prior maps. Tamino’s approach has practical implications for cleaning robots, agricultural monitoring, and search-and-rescue operations. His research demonstrates a thoughtful integration of geometric reasoning and probabilistic localization, offering a principled solution that remains relevant for researchers developing autonomous systems for unknown environments.
Research Focus
Key Achievements
Top Papers
- 1