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One of the main tasks of mobile robotics is vision.
One of the most fundamental problems in mobile robotics is to build an environment map.
In this paper, a set of novel modifications conceived to improve grid-based algorithms from the A* family applied in mobile robotics is presented.
The design of fuzzy controllers for the implementation of behaviors in mobile robotics is a complex and highly time-consuming task.
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Coordinating the motion of multiple mobile robots is one of the fundamental problems in robotics.
Owing to the upcoming applications in the field of service robotics mobile robots are currently receiving increasing attention in industry and the scientific community.
The method is based on the continuous-curvature path planning in the field of mobile robotics and is connected to the specific agronomic requirements.
In this context, an application of mobile robotics planning is developed with a friendly graphical user interface in MATLAB for teaching PSO design.
Autominder is currently deployed on a mobile robot, and is being developed as part of the Initiative on Personal Robotic Assistants for the Elderly (the Nursebot project).
In what follows some considerations regarding the mathematical models for a class of mobile robots, namely two-wheeled differential drive mobile robots, some of the most utilized mechanical structures in mobile robotics practice, are presented.
Because of uncontrolled and changing environmental conditions in outdoor and natural environments, data from optical sensors classically used in mobile robotics can be compromised and unusable.
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