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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. Unlike other avoidance methods, the dynamic window approach is derived directly from the dynamics of the robot, and is especially designed to deal with the constraints imposed by limited velocities and accelerations of the robot. It consists of two main components, first generating a valid search space, and second selecting an optimal solution in the search space. In Fox et al. the search space is restricted to safe circular trajectories that can be reached within a short time interval and are free from collisions. The optimization goal is to select a heading and velocity that brings the robot to the goal with the maximum clearance from any obstacle. References External links Dynamic Window Approach pseudo-code and explanation Robot control 1997 in robotics {{Robo-stub ...
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Robotics
Robotics is an interdisciplinarity, interdisciplinary branch of computer science and engineering. Robotics involves design, construction, operation, and use of robots. The goal of robotics is to design machines that can help and assist humans. Robotics integrates fields of mechanical engineering, electrical engineering, Information engineering (field), information engineering, mechatronics, electronics, bioengineering, computer engineering, control engineering, software engineering, mathematics, etc. Robotics develops machines that can substitute for humans and replicate human actions. Robots can be used in many situations for many purposes, but today many are used in dangerous environments (including inspection of radioactive materials, bomb detection and bomb disposal, deactivation), manufacturing processes, or where humans cannot survive (e.g. in space, underwater, in high heat, and clean up and containment of hazardous materials and radiation). Robots can take any form, b ...
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Motion Planning
Motion planning, also path planning (also known as the navigation problem or the piano mover's problem) is a computational problem to find a sequence of valid configurations that moves the object from the source to destination. The term is used in computational geometry, computer animation, robotics and computer games. For example, consider navigating a mobile robot inside a building to a distant waypoint. It should execute this task while avoiding walls and not falling down stairs. A motion planning algorithm would take a description of these tasks as input, and produce the speed and turning commands sent to the robot's wheels. Motion planning algorithms might address robots with a larger number of joints (e.g., industrial manipulators), more complex tasks (e.g. manipulation of objects), different constraints (e.g., a car that can only drive forward), and uncertainty (e.g. imperfect models of the environment or robot). Motion planning has several robotics applications, su ...
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Dieter Fox
Dieter Fox is a German-American roboticist and a Professor in the Department of Computer Science & Engineering at the University of Washington, Seattle. He received his PhD in Computer Science at the University of Bonn in 1998. He is most notable for his contributions to several fields including robotics, artificial intelligence, machine learning, and ubiquitous computing. Together with Wolfram Burgard and Sebastian Thrun Sebastian Thrun (born May 14, 1967) is a German-American entrepreneur, educator, and computer scientist. He is CEO of Kitty Hawk Corporation, and chairman and co-founder of Udacity. Before that, he was a Google VP and Fellow, a Professor of Com ... he is a co-author of the book '' Probabilistic Robotics''. References External links Home page {{DEFAULTSORT:Fox, Dieter 1966 births Living people German roboticists German computer scientists Artificial intelligence researchers University of Bonn alumni University of Washington faculty ...
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Wolfram Burgard
Wolfram Burgard (born 1961 in Gelsenkirchen, Germany) is a German roboticist. He is a full professor at the Albert-Ludwigs-Universität Freiburg where he heads the Laboratory for Autonomous Intelligent Systems. He is known for his substantial contributions to the simultaneous localization and mapping (SLAM) problem as well as diverse other contributions to robotics. Biography Education Wolfram Burgard received his Diploma degree from University of Dortmund in 1987 and his Doctorate from the University of Bonn in 1991. His thesis advisor was Armin B. Cremers. Career In 1991 he became a research assistant at the University of Bonn, where he led the laboratory for Autonomous Mobile Systems. He was head of the research group which installed the mobile robot Rhino as the first interactive museum tour-guide robot in the Deutsches Museum Bonn, Germany in 1997. In 1998, he and his colleagues deployed the mobile robot Minerva in the National Museum of American History in Washington DC. ...
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Sebastian Thrun
Sebastian Thrun (born May 14, 1967) is a German-American entrepreneur, educator, and computer scientist. He is CEO of Kitty Hawk Corporation, and chairman and co-founder of Udacity. Before that, he was a Google VP and Fellow, a Professor of Computer Science at Stanford University, and before that at Carnegie Mellon University. At Google, he founded Google X and Google's self-driving car team. He is also an adjunct professor at Stanford University and at Georgia Tech. Thrun led development of the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge, and which has since been placed on exhibit in the Smithsonian Institution's National Museum of American History. His team also developed a vehicle called Junior, which placed second at the DARPA Grand Challenge in 2007. Thrun led the development of the Google self-driving car. Thrun is also known for his work on probabilistic algorithms for robotics with applications including robotic mapping. In recognition of his ...
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Robot Control
Robotic control is the system that contributes to the movement of robots. This involves the mechanical aspects and programmable systems that makes it possible to control robots. Robotics could be controlled in various ways, which includes using manual control, wireless control, semi-autonomous (which is a mix of fully automatic and wireless control), and fully autonomous (which is when it uses artificial intelligence to move on its own, but there could be options to make it manually controlled). In the present day, as technological advancements progress, robots and their methods of control continue to develop and advance. Modern robots (2000-present) Medical and surgical In the medical field, robots are used to make precise movements that are humanly difficult. Robotic surgery involves the use of less-invasive surgical methods, which are “procedures performed through tiny incisions”. Currently, robots use the da Vinci surgical method, which involves the robotic arm (whi ...
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