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Obstacle avoidance, in robotics, is a critical aspect of autonomous navigation and control systems. It is the capability of a robot or an autonomous system/machine to detect and circumvent obstacles in its path to reach a predefined destination. This technology plays a pivotal role in various fields, including industrial automation, self ...
The velocity obstacle VO AB for a robot A, with position x A, induced by another robot B, with position x B and velocity v B.. In robotics and motion planning, a velocity obstacle, commonly abbreviated VO, is the set of all velocities of a robot that will result in a collision with another robot at some moment in time, assuming that the other robot maintains its current velocity. [1]
The most basic form of Bug algorithm (Bug 1) is as follows: The robot moves towards the goal until an obstacle is encountered. Follow a canonical direction (clockwise) until the robot reaches the location of initial encounter with the obstacle (in short, walking around the obstacle).
Advanced motion prediction algorithms predict potential conflicts for up to 50 other aircraft and alert the pilot using visual and aural warnings. FLARM has an integrated obstacle collision warning system together with an obstacle database. The database includes both point and segmented obstacles, such as split power lines and cableways.
A schematic of Layered costmaps. Layered costmaps is a method to create and update maps for robot navigation and path planning proposed by David V. Lu in 2014. [1] During robot navigation, layered costmaps can abstract the realistic environment around the robot into maps that can be comprehended by robot navigation methods.
More complex systems are based on a superposition of attractive or repulsive forces that effect on the agent. This kind of steering is based on the original work on boids of Craig Reynolds. By means of steering, one can achieve a simple form of: towards a goal navigation; obstacle avoidance behaviour; a wall following behaviour; enemy approaching
In robotics, Vector Field Histogram (VFH) is a real time motion planning algorithm proposed by Johann Borenstein and Yoram Koren in 1991. [1] The VFH utilizes a statistical representation of the robot's environment through the so-called histogram grid, and therefore places great emphasis on dealing with uncertainty from sensor and modeling errors.
Terrain-following radars differ from the similar-sounding terrain avoidance radars; terrain avoidance systems scan horizontally to produce a map-like display that the navigator then uses to plot a route that avoids higher terrain features. The two techniques are often combined in a single radar system: the navigator uses the terrain avoidance ...