Papers
6
Total Citations
45
H-Index
4
About
Garen Haddeler is a robotics researcher whose work focuses on enabling legged and wheeled-legged robots to navigate unknown, rough terrain safely and autonomously. His key research areas include traversability analysis, terrain perception, and multi-robot systems. Haddeler’s major contribution is the development of a traversability analysis framework that integrates vision, terrain probing, and collapsibility information—inspired by human exploratory behavior—to allow robots to assess and adapt to unpredictable ground conditions. His most cited paper (17 citations) proposes this probing strategy for safe legged robot navigation, while another notable work (9 citations) introduces a “Explore Bravely” pipeline for wheeled-legged robots, combining traversability analysis with frontier-based exploration. Haddeler also advanced real-time terrain perception through a novel “digital double” framework (2 citations), which synchronizes a simulated model with a physical robot to detect terrain anomalies. Additionally, he contributed to heterogeneous robot teams by evaluating 3D LiDAR sensor setups and releasing a valuable dataset (7 citations) for SLAM and map merging research. His work bridges perception, planning, and control, pushing the boundaries of autonomous locomotion in challenging environments.
Research Focus
Key Achievements
Top Papers
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- 3Evaluation of 3D LiDAR Sensor Setup for Heterogeneous Robot Team8 citations · 2020
- 4A 3D LiDAR Dataset of ITU Heterogeneous Robot Team7 citations · 2019
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