Abstract. We describe an autonomous mobile robot that employs a simple sensorimotor learning algoríthm at three different behavioral levels to achieve coherent goal-directed behavior. Therobotautonomously navigates to a ...

Nowadays, mobile robots are playing an important role in different areas of science, industry, academia and even in everyday life. In this sense, their abilities and behaviours become increasingly complex. In particular, ...

Currently the navigation involves the interaction of the robot with its environment, this means that the robot has to find the position of obstacles (natural brands and artificial) with respect to its plane. Its environment ...

This paper presents the implementation of a simultaneous localization and mapping (SLAM) algorithm for autonomous mobile robot navigation. The proposed implementation uses an RGB-D camera to detect the environment and map ...

Autonomous mobile robots navigation and control systems are still hugely important in real time robotic applications. When moving towards fully autonomous navigation, guidance plays a vital task for successful autonomous ...

The present paper explores the implementation of the RRT* path planning algorithm aided with a depth sensor in a physical robot for path planning and re-planning in a partially-known or unknown environment, the robot is ...

This paper proposes a control strategy for a mobile robot for precision agriculture. The controller allows autonomous navigation through corridors formed by plants or fruit vines and olive trees. Furthermore, a rotation ...

This paper presents the implementation of a mobile service robot with a manipulator and a navigation stack to interact and move through an environment providing a delivery type service. The implementation uses a LiDAR ...

This work discusses the use of optical flow to generate the sensorial information a mobile robot needs to react to the presence of obstacles when navigating in a non-structured environment. A sensing system based on optical ...