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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.
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
RRTs were developed by Steven M. LaValle and James J. Kuffner Jr. [1] [2] They easily handle problems with obstacles and differential constraints (nonholonomic and kinodynamic) and have been widely used in autonomous robotic motion planning. RRTs can be viewed as a technique to generate open-loop trajectories for nonlinear systems with state ...
Imagry is an autonomous driving (AD) software provider that has created a mapless driving system. It uses bio-inspired technology that combines real-time vision-based perception and imitation-learning artificial intelligence (AI) for a driving decision-making network that can be installed on passenger cars as well as autonomous buses.
AirSim (Aerial Informatics and Robotics Simulation) is an open-source, cross platform simulator for drones, ground vehicles such as cars and various other objects, built on Epic Games’ proprietary Unreal Engine 4 as a platform for AI research. [2]
The exact force is determined by newton's laws of motion. A solver, for example PID controllers and model predictive control, are able to bring the simulated system into a goal state. From an abstract point of view, the problem of controlling a complex physical system is a kinodynamic motion planning problem. [2]
Path planning is realized with propagating wavefronts. The wavefront expansion algorithm is a specialized potential field path planner with breadth-first search to avoid local minima. [1] [2] It uses a growing circle around the robot. The nearest neighbors are analyzed first and then the radius of the circle is extended to distant regions. [3]
NuTonomy (stylized as nuTonomy) was an MIT spin-off technology startup company that made software to build self-driving cars and autonomous mobile robots. The company was founded in 2013. In August 2016, it launched its robo-taxi service (pilot project) in Singapore.