enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Obstacle avoidance - Wikipedia

    en.wikipedia.org/wiki/Obstacle_avoidance

    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 ...

  3. Bug algorithm - Wikipedia

    en.wikipedia.org/wiki/Bug_algorithm

    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).

  4. Velocity obstacle - Wikipedia

    en.wikipedia.org/wiki/Velocity_obstacle

    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]

  5. Vector Field Histogram - Wikipedia

    en.wikipedia.org/wiki/Vector_Field_Histogram

    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.

  6. Motion planning - Wikipedia

    en.wikipedia.org/wiki/Motion_planning

    Exact motion planning for high-dimensional systems under complex constraints is computationally intractable. Potential-field algorithms are efficient, but fall prey to local minima (an exception is the harmonic potential fields). Sampling-based algorithms avoid the problem of local minima, and solve many problems quite quickly.

  7. Trajectory optimization - Wikipedia

    en.wikipedia.org/wiki/Trajectory_optimization

    Depending on the configuration, open-chain robotic manipulators require a degree of trajectory optimization. For instance, a robotic arm with 7 joints and 7 links (7-DOF) is a redundant system where one cartesian position of an end-effector can correspond to an infinite number of joint angle positions, thus this redundancy can be used to optimize a trajectory to, for example, avoid any ...

  8. Maze-solving algorithm - Wikipedia

    en.wikipedia.org/wiki/Maze-solving_algorithm

    Robot in a wooden maze. A maze-solving algorithm is an automated method for solving a maze.The random mouse, wall follower, Pledge, and Trémaux's algorithms are designed to be used inside the maze by a traveler with no prior knowledge of the maze, whereas the dead-end filling and shortest path algorithms are designed to be used by a person or computer program that can see the whole maze at once.

  9. Collision avoidance in transportation - Wikipedia

    en.wikipedia.org/wiki/Collision_avoidance_in...

    A simple collision avoidance system. In transportation, collision avoidance is the maintenance of systems and practices designed to prevent vehicles (such as aircraft, motor vehicles, ships, cranes and trains) from colliding with each other. They perceive the environment with sensors and prevent collisions using the data collected from the sensors.