Papers
25
Total Citations
713
H-Index
14
About
Abel Gawel is a robotics researcher whose work spans mobile robotics, simultaneous localization and mapping (SLAM), and autonomous systems for challenging real-world environments. He has made particularly significant contributions to place recognition and 3D perception, most notably through his development of LiDAR-based descriptors that leverage intensity information to achieve robust localization under difficult conditions such as viewpoint shifts and illumination changes — a paper that has garnered over 160 citations. His influential work on multi-robot SLAM systems (144 citations) addresses critical needs in time-sensitive search and rescue scenarios, enabling multiple robots to collaboratively map and navigate complex 3D environments. Beyond perception, Gawel has demonstrated a broad systems-level vision, contributing the "Free Gait" framework for versatile legged robot control, tools for photorealistic terrain simulation to support machine learning in unstructured outdoor settings, and high-accuracy structured light sensing for construction robotics. His research on multi-robot patrolling and mobile manipulation of articulated objects further reflects his commitment to deploying robots in practical, dynamic environments. With cumulative citations exceeding 560 across his top works, Gawel's research has meaningfully shaped how autonomous robots perceive, navigate, and cooperate across both structured and unstructured domains.
Research Focus
Key Achievements
Top Papers
- 1Local Descriptor for Robust Place Recognition Using LiDAR Intensity160 citations · 2019
- 2An online multi-robot SLAM system for 3D LiDARs144 citations · 2017
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- 43D multi-robot patrolling with a two-level coordination strategy40 citations · 2019
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- 7Free Gait — An architecture for the versatile control of legged robots32 citations · 2016
- 8Free Gait – An Architecture for the Versatile Control of Legged Robots24 citations · 2016
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