Autonomous Cross-Country Navigation requires a system which can support a rapid traverse across challenging terrain while maintaining vehicle safety. This work describes a system for autonomous cross country navigation as implemented on the NavLab II, a computer-controlled off-road vehicle at Carnegie Mellon. The navigation software is discussed. The perception subsystem constructs digital maps...

] I[ Abstract This paper delcribes fuzzy logic techniques used in a hierarchical behavior-based architecture for robot navigation. An architectural feature for threshold activation of fuzzy. behaviors is emphasized, which is potentially useful for tuning navigation performance in real world applications. The target application is autonomous local navigation of a small planetary rover. Threshold...

In the past, there has been a tremendous progress in the area of autonomous robot navigation and a large variety of robots have been developed who demonstrated robust navigation capabilities indoors, in non-urban outdoor environments, or on roads and relatively few approaches focus on navigation in urban environments such as city centers. Urban areas, however, introduce numerous challenges for ...

This paper introduces an autonomous towed vehicle which has various navigation modes; towed mode, autonomous mode and kite mode, to stand against fast and changeable sea currents. The property assures safe and reliable observation works irrespective of a current speed. Such vehicle must be useful for port area application since in a port area sea currents are so fast and complex. The different ...

The development of techniques for autonomous navigation in real-world environments constitutes one of the major trends in the current research on robotics. An important problem in autonomous navigation is the need to cope with the large amount of uncertainty that is inherent of natural environments. Fuzzy logic has features that make it an adequate tool to address this problem. In this paper, w...

Micro aerial vehicles, such as multirotors, are particular well suited for the autonomous monitoring, inspection, and surveillance of buildings, e.g., for maintenance in industrial plants. Key prerequisites for the fully autonomous operation of micro aerial vehicles in restricted environments are 3D mapping, real-time pose tracking, obstacle detection, and planning of collision-free trajectorie...

The Benchmark Autonomous Robot Navigation (BARN) Challenge took place at the 2022 IEEE International Conference on Robotics and Automation (ICRA), in Philadelphia, PA, USA. aim of challenge was to evaluate state-of-the-art autonomous ground navigation systems for moving robots through highly constrained environments a safe efficient manner. Specifically, task navigate standardized differential ...

Autonomous navigation by a mobile robot through natural, unstructured terrain is one of the premier challenges in field robotics. The DARPA UPI program was tasked with advancing the state of the art in robust autonomous performance through challenging and widely varying environments. In order to accomplish this goal, machine learning techniques were heavily utilized to provide robust and adapti...

An autonomous vehicle can navigate by measuring the light intensity in a known environment, using a prediction and correction cycle. This navigation method is not trivial, so I developed, implemented and tested two different navigation algorithms. The simple navigation function works well, except at some locations which depend on te light illumination function. The advanced algorithm is slower,...

Abstract. Autonomous orchard vehicles have been shown to increase worker efficiency in tasks including pruning, thinning, tree maintenance, and pheromone placing. To cover entire blocks, they must be able to repeatedly exit an orchard row, turn, and enter the next. The authors’ experience deploying autonomous vehicles for five years in commercial and research orchards shows that, when the map o...