This work presents the development and implementation of a biologically inspired navigation system on the autonomous Psikharpax rodent robot. Our system comprises two independent navigation strategies: a taxon expert and a planning expert. The presented navigation system allows the robot to learn the optimal strategy in each situation, by relying upon a strategy selection mechanism. Keywords— R...

This paper addresses the issue of the autonomous mobile robot (AMR) navigation task based on the hybrid control modes. The novel hybrid control mode, based on multi-sensors information by using the fuzzy approach, has been presented in this research. The system operates in real time, is robust, enables the robot to operate with imprecise knowledge, and takes into account the physical limitation...

Distance measuring equipment (DME) and its military counterpart tactical air navigation (TACAN) has been a cornerstone of aviation navigation since its development in the 1950s. It is still one of the most commonly used aviation navigation aid. However, future airspace will need to accommodate increased traffic levels, more precise operations and autonomous air vehicles which will increase dema...

In the frame of planetary exploration, among the Guidance Navigation and Control activities in ESA, Vision Based Navigation is one which has received much attention, because of the flexibility and cost saving aspects associated with camera type sensors. Two applications currently under investigation in this field are: Autonomous Interplanetary Navigation [1] and Navigation for Planetary Approac...

This paper investigates the possibility of augmenting an Unmanned Aerial Vehicle (UAV) navigation system with a passive video camera in order to cope with long-term GPS outages. The paper proposes a vision based navigation architecture which combines inertial sensors, visual odometry and registration of the on-board video to a geo-referenced aerial image. The vision-aided navigation system deve...

The objective of this research was to develop an unmanned surface vehicle (USV) platform for autonomous navigation in the paddy field. The surface vehicle used in this research was a radio controlled air propeller vessel that had been modified into an unmanned surface vehicle platform. A GPS compass system was attached to the top of the USV platform as the navigation system to provide the posit...

Autonomous robots, such as robot office couriers, need control routines that support flexible task execution and effective action planning. This paper describes XFRMLEARN, a system that learns structured symbolic robot action plans for navigation tasks. Given a navigation task, XFRMLEARN learns to structure continuous navigation behavior and represents the learned structure as compact and trans...

In this paper, we explore the issue of incremental learning for autonomous navigation of a mobile robot. The autonomous navigation problem is regarded as a content-based retrieval problem where the robot learns the navigation experience using a hierarchical recursive partition tree (RPT). During real navigation, each time a new image is grabbed to retrieve the learned tree. The associated contr...

This paper proposes an autonomous navigation solution for unmanned aerial vehicle (UAV) in unknown and Global Navigation Satellite System (GNNS)-denied environment using a goal-aware robocent...

this paper presents the approach of neuro fuzzy systems to design autonomous vehicle control system. The purposed intelligent controller deliberates obstacles avoidance, unstructured environment adaptation and speed scheduling of autonomous vehicle based on neuro-fuzzy with reinforcement learning mechanism. The purposed system provides the autonomous vehicle navigation and speed control in unst...