Diego Bussi
Papers
1
Total Citations
12
H-Index
1
About
Diego Bussi is a researcher specializing in robotics, with a particular focus on pose estimation and autonomous navigation for computationally constrained systems. His work addresses the critical challenge of enabling mobile robots—especially planetary rovers—to accurately determine their position and orientation in real-time, even when operating under severe computational limitations. Bussi's most cited paper, "Viewpoint Selection for Rover Relative Pose Estimation Driven by Minimal Uncertainty Criteria" (2021, 12 citations), introduces a novel approach that optimizes viewpoint selection to minimize uncertainty in relative pose estimation, offering a computationally efficient alternative to traditional SLAM methods. This work is particularly impactful for space exploration, where rovers must navigate unknown terrains with limited onboard processing power. By focusing on minimal uncertainty criteria, Bussi contributes to safer and more reliable autonomous operations in extreme environments. His research bridges the gap between theoretical pose estimation algorithms and practical deployment on resource-constrained robotic platforms, making him a notable figure in the field of field robotics and planetary exploration.
Research Focus
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Top Papers
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