Papers
20
Total Citations
236
H-Index
8
About
Paulo Peixoto is a leading researcher in assistive and field robotics, whose work bridges the gap between human mobility assistance and autonomous navigation in complex environments. His most significant contributions center on the development of the ISR-AIWALKER, an innovative robotic walker designed for intuitive and safe mobility support, gait analysis, and lower limb rehabilitation—a platform that has garnered 59 citations. Peixoto’s research also extends to artificial perception for precision forestry, where he has tackled the formidable challenge of enabling robots to perceive and traverse unstructured natural terrains. His survey on sensing and artificial perception for forestry robots (43 citations) and recent work on terrain traversability analysis highlight his leadership in this domain. Additionally, he has advanced 3D point cloud processing for indoor scene modeling and real-time vehicle detection using LIDAR data. With over a dozen papers on human gait pattern detection and robot-assisted navigation, Peixoto’s work has been widely recognized for its practical impact, earning him a reputation as a pioneer in creating robotic systems that enhance human mobility and expand autonomous capabilities in the wild.
Research Focus
Key Achievements
Top Papers
- 1
- 2Sensing and Artificial Perception for Robots in Precision Forestry: A Survey43 citations · 2023
- 33D point cloud downsampling for 2D indoor scene modelling in mobile robotics17 citations · 2017
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- 6Robot-Assisted Navigation for a Robotic Walker with Aided User Intent12 citations · 2018
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- 9Real-time visual behaviors with a binocular active vision system8 citations · 2002
- 10