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  2. Obstacle avoidance - Wikipedia

    en.wikipedia.org/wiki/Obstacle_avoidance

    Example of obstacle avoidance using sensors. One of the most common approaches to obstacle avoidance is the use of various sensors, such as ultrasonic , LiDAR , radar , sonar , and cameras . These sensors allow an autonomous machine to do a simple 3 step process: sense, think, and act.

  3. 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]

  4. Bug algorithm - Wikipedia

    en.wikipedia.org/wiki/Bug_algorithm

    The robot is treated as a point inside a 2D world. The obstacles (if any) are unknown and nonconvex. There are clearly defined starting point and goal. The robot is able to detect obstacle boundary from a distance of known length. The robot always knows the direction and how far (in terms of Euclidean distance) it is from the goal.

  5. Collision avoidance in transportation - Wikipedia

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

    The first step in collision avoidance is perception, which can use sensors like LiDAR, visual cameras, thermal or IR cameras, or solid-state devices. They are divided upon the part of the electromagnetic spectrum they use. There are two types of sensors, passive and active sensors. Examples of active sensors are LiDAR, Radar and Sonar. Examples ...

  6. Dynamic window approach - Wikipedia

    en.wikipedia.org/wiki/Dynamic_window_approach

    In robotics motion planning, the dynamic window approach is an online collision avoidance strategy for mobile robots developed by Dieter Fox, Wolfram Burgard, and Sebastian Thrun in 1997. [1] Unlike other avoidance methods, the dynamic window approach is derived directly from the dynamics of the robot, and is especially designed to deal with ...

  7. Collision detection - Wikipedia

    en.wikipedia.org/wiki/Collision_detection

    Collision detection is a classic problem of computational geometry with applications in computer graphics, physical simulation, video games, robotics (including autonomous driving) and computational physics. Collision detection algorithms can be divided into operating on 2D or 3D spatial objects. [1]

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  9. Motion planning - Wikipedia

    en.wikipedia.org/wiki/Motion_planning

    A configuration describes the pose of the robot, and the configuration space C is the set of all possible configurations. For example: If the robot is a single point (zero-sized) translating in a 2-dimensional plane (the workspace), C is a plane, and a configuration can be represented using two parameters (x, y).