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A basic motion planning problem is to compute a continuous path that connects a start configuration S and a goal configuration G, while avoiding collision with known obstacles. The robot and obstacle geometry is described in a 2D or 3D workspace , while the motion is represented as a path in (possibly higher-dimensional) configuration space .
Real-Time Path Planning is a term used in robotics that consists of motion planning methods that can adapt to real time changes in the environment. This includes everything from primitive algorithms that stop a robot when it approaches an obstacle to more complex algorithms that continuously takes in information from the surroundings and creates a plan to avoid obstacles.
A free course can be "upgraded" to the paid version of a course, which includes instructor's feedback and grades for the submitted assignments, and (if the student gets a passing grade) a certificate of completion. [57] [60] Other Coursera courses, projects, specializations, etc. cannot be audited—they are only available in paid versions.
The courses are free if one does not want a certificate, i.e. audit mode. For certification the platform charges approximately ₹1,000 (approximately US$ 12). A course billed as "Asia's first MOOC" given by the Hong Kong University of Science and Technology through Coursera starting in April 2013 registered 17,000 students. About 60% were from ...
In robotics and motion planning, kinodynamic planning is a class of problems for which velocity, acceleration, and force/torque bounds must be satisfied, together with kinematic constraints such as avoiding obstacles.
OMPL (Open Motion Planning Library) is a software package for computing motion plans using sampling-based algorithms.The content of the library is limited to motion planning algorithms, which means there is no environment specification, no collision detection or visualization.
Motion analysis is used in computer vision, image processing, high-speed photography and machine vision that studies methods and applications in which two or more consecutive images from an image sequences, e.g., produced by a video camera or high-speed camera, are processed to produce information based on the apparent motion in the images.
Oakley co-created and taught Learning How To Learn: Powerful mental tools to help you master tough subjects, the world's most popular online course. [3] She also wrote a book, A Mind For Numbers: How to Excel at Math and Science (Even If You Flunked Algebra). [4] This is a standalone book, though it companions the ideas presented in the MOOC.