Configuration space (physics)
In classical mechanics, the parameters that define the configuration of a system are called generalized coordinates, and the vector space defined by these coordinates is called the configuration space of the physical system. It is often the case that these parameters satisfy mathematical constraints, such that the set of actual configurations of the system is a manifold in the space of generalized coordinates. This manifold is called the configuration manifold of the system.
The position of a single particle moving in ordinary Euclidean 3-space is defined by the vector r=(x, y, z), and therefore its configuration space is R3. If the particle is constrained to lie on a sphere, then its configuration space is the subset of coordinates in R3 that define points on the sphere S2.
For n particles the configuration space is R3n, or possibly the subspace where no two positions are equal.
An important problem in physics considers the set of all trajectories of a particle between two points, which is a configuration space that is also known as a function space M. In quantum mechanics one formulation uses histories, or trajectories, as configurations.
The set of coordinates that define the position of a reference point and the orientation of a coordinate frame attached to a rigid body in three-dimensional space form its configuration space, often denoted where represents the coordinates of the origin of the frame attached to the body, and represents the rotation matrices that define the orientation of this frame relative to a ground frame. A configuration of the rigid body is defined by six parameters, three from and three from , and is said to have six degrees of freedom.
In robotics, configuration space refers to the set of reachable positions by a robot's end-effector, considered as a rigid body in three-dimensional space. Thus positions of the end-effector of a robot can be identified with the group of spatial rigid transformations, often denoted SE(3).
The joint parameters of the robot are used as generalized coordinates to define configurations. The set of joint parameter values is called the joint space. A robot's forward and inverse kinematics equations define maps between configurations and end-effector positions, or between joint space and configuration space. Robot motion planning uses this mapping to find a path in joint space that provides an achievable route in the configuration space of the end-effector.
In mechanics, the configuration of a system consists of the positions had by all components subject to kinematical constraints. The set of velocities available to a system defines a plane tangent to the configuration manifold of the system. Momentum vectors are linear functionals of the tangent plane, known as cotangent vectors. Thus, the set of positions and momenta of a mechanical system forms the cotangent bundle of the configuration manifold.
- Feature space (topic in pattern recognition)
- Parameter space
- Phase space
- State space (physics)
- Configuration space (mathematics)