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The probabilistic roadmap [1] planner is a motion planning algorithm in robotics, which solves the problem of determining a path between a starting configuration of the robot and a goal configuration while avoiding collisions. An example of a probabilistic random map algorithm exploring feasible paths around a number of polygonal obstacles
PRISM is a probabilistic model checker, a formal verification software tool for the modelling and analysis of systems that exhibit probabilistic behaviour. [1] PRISM was introduced around 2002 in the context of Parker's PhD work and is still under active development (as of 2024).
For robot control, Stochastic roadmap simulation [1] is inspired by probabilistic roadmap [2] methods (PRM) developed for robot motion planning. The main idea of these methods is to capture the connectivity of a geometrically complex high-dimensional space by constructing a graph of local paths connecting points randomly sampled from that space.
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).
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.
Stan: A probabilistic programming language for Bayesian inference and optimization, Journal of Educational and Behavioral Statistics. Hoffman, Matthew D., Bob Carpenter, and Andrew Gelman (2012). Stan, scalable software for Bayesian modeling Archived 2015-01-21 at the Wayback Machine, Proceedings of the NIPS Workshop on Probabilistic Programming.
Serpent was originally known as Probabilistic Scattering Game (PSG) from 2004 to the first pre-release of Serpent 1 in October 2008. [2] The development of Serpent 2 was started in 2010. [ 3 ] The current stable version Serpent 2.2.0 was released in May 2022.
RoboMind is somewhat similar to Karel the Robot but its syntax is closer to C/C++ while Karel is closer to Pascal. RoboMind can be related to the Logo, at which a turtle can be moved around to create geometric shapes. The syntax of RoboMind however is different and corresponds more directly to mainstream scripting languages, such as JavaScript ...