David Luigi Perotti
Path Planners Benchmark and Design of a Comfort-Oriented Critic Algorithm.
Rel. Marcello Chiaberge. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2026
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Abstract
In recent decades, demographic trends have highlighted a progressive shift towards an ageing society, driven by increased life expectancy. As a consequence, the number of people with reduced mobility is steadily increasing, leading to a growing demand for assistive mobile mobility technologies such as electric powered wheelchairs (EPWs). Autonomous navigation has been widely studied for mobile robots and EPWs, with safety traditionally considered the primary objective and passenger comfort treated as a secondary aspect, typically limited to vibration analysis or mechanical design considerations. However, abrupt acceleration, excessive over-acceleration and unnatural motion patterns significantly affect user comfort and trust in assistive mobile robots.
The main objective of this thesis is to evaluate the impact of different combinations of global and local planners on navigation performance and passenger comfort using the ROS2 Navigation Stack (Nav2)
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