Papers
16
Total Citations
568
H-Index
10
About
Paulo Borges is a prominent robotics researcher whose work sits at the intersection of autonomous navigation, terrain perception, and mobile robotics. Based at CSIRO's Data61 in Australia, Borges has made significant contributions to enabling robots to operate reliably in challenging, unstructured real-world environments — a problem central to modern field robotics. His most influential work focuses on LiDAR-based place recognition, with his 2019 paper on intensity-based local descriptors accumulating 160 citations, establishing new benchmarks for robust localization under difficult conditions. Borges has also shaped the field's understanding of terrain traversability, co-authoring a widely referenced 2022 survey (83 citations) and contributing practical estimation methods (51 citations) that bridge perception and path planning. His development of Weaver, a hexapod robot for autonomous navigation in unstructured terrain (77 citations), demonstrates a rare ability to translate algorithmic research into functional robotic platforms. Beyond ground robotics, Borges has explored air-ground collaborative localization in GPS-denied forest environments and the potential of the Internet of Robotic Things for independent living in aging populations. With over 500 cumulative citations, his body of work reflects a sustained commitment to solving foundational challenges in robot autonomy across diverse and demanding environments.
Research Focus
Key Achievements
Top Papers
- 1Local Descriptor for Robust Place Recognition Using LiDAR Intensity160 citations · 2019
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- 4Weaver: Hexapod robot for autonomous navigation on unstructured terrain77 citations · 2018
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- 9Air-Ground Collaborative Localisation in Forests Using Lidar Canopy Maps15 citations · 2023
- 10Terrain-Dependant Control of Hexapod Robots Using Vision15 citations · 2017