Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 12]
 Nexotica
 CAvoidLookAtSphereAvoids pointing end-effector at a given spherical object
 CCenterOfMass
 CCollisionCheck
 CCollisionDistance
 CContinuousJointPose
 CControlRegularization
 CDistance
 CDistanceToLine2D
 CEffAxisAlignment
 CEffBoxLimits every given end-effector motion to a box in some reference frame
 CEffFrame
 CEffOrientation
 CEffPosition
 CEffPositionXY
 CEffVelocity
 CGazeAtConstraintKeeps a given point within field of view of the end-effector
 CInteractionMesh
 CJointAccelerationBackwardDifferenceTime-derivative estimation by backward differencing. JointAccelerationBackwardDifference uses backward differencing to estimate the second time derivative of the joint state
 CJointJerkBackwardDifferenceTime-derivative estimation by backward differencing. JointJerkBackwardDifference uses backward differencing to estimate the third time derivative of the joint state
 CJointLimitImplementation of joint limits task map. Note: we dont want to always stay at the centre of the joint range, be lazy as long as the joint is not too close to the low/high limits
 CJointPose
 CJointTorqueMinimizationProxy
 CJointVelocityBackwardDifferenceTime-derivative estimation by backward differencing. JointVelocityBackwardDifference uses backward differencing to estimate the first time derivative of the joint state
 CJointVelocityLimitJoint Velocity Limit taskmap for time-indexed problems. Penalisations of joint velocity limit violation within a specified percentage of the velocity limit
 CJointVelocityLimitConstraintJoint velocity limit task map for non time-indexed problems
 CLookAtPoints end-effector to look at a given target by aligning end-effector z-axis with the target. Looks at a target point by penalizing the vector which defines the orthogonal projection onto a defined line in the end-effector frame
 CManipulabilityManipulability measure. The manipulability measure for a robot at a given joint configuration indicates dexterity, that is, how isotropic the robot's motion is with respect to the task space motion. The measure is high when the manipulator is capable of equal motion in all directions and low when the manipulator is close to a singularity. This task map implements Yoshikawa's manipulability measure

\[ m(x) = \sqrt{J(x)J(x)^T} \]

that is based on the shape of the velocity ellipsoid where $J(x)$ is the manipulator Jacobian matrix.. The task map is expressed by

\[ \phi(x) := -m(x). \]

 CPointToLine
 CPointToPlane
 CQuasiStatic
 CSmoothCollisionDistance
 CSphereCollision
 CSumOfPenetrations
 CVariableSizeCollisionDistance


exotica_core_task_maps
Author(s): Yiming Yang, Michael Camilleri
autogenerated on Sat Apr 10 2021 02:36:10