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task-joint-posture.cpp
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#include "task-joint-posture.h"
namespace HQP
{
namespace tasks
{
using namespace constraint;
using namespace trajectories;
TaskJointPosture::TaskJointPosture(const std::string & name, RobotModel & robot)
: TaskMotion(name, robot), m_constraint(name), m_ref(robot.nv())
{
if (robot.type() == 0) {
m_constraint.setMatrix(Eigen::MatrixXd(robot.nv(), robot.nv()).setZero());
m_Kp.setZero(robot.nv());
m_Kd.setZero(robot.nv());
VectorXd m = VectorXd::Ones(robot.nv());
mask(m);
}
else if (robot.type() == 1) {
m_ref.resize(robot.nv()-3);
m_constraint.setMatrix(Eigen::MatrixXd(robot.nv()-3, robot.nv()).setZero());
m_Kp.setZero(robot.nv()-3);
m_Kd.setZero(robot.nv()-3);
VectorXd m = VectorXd::Ones(robot.nv()-3);
mask(m);
}
else if (robot.type() == 2) {
m_ref.resize(robot.nv()-6);
m_constraint.setMatrix(Eigen::MatrixXd(robot.nv()-6, robot.nv()).setZero());
m_Kp.setZero(robot.nv()-6);
m_Kd.setZero(robot.nv()-6);
VectorXd m = VectorXd::Ones(robot.nv()-6);
mask(m);
}
}
const VectorXd & TaskJointPosture::mask() const
{
return m_mask;
}
void TaskJointPosture::mask(const VectorXd & m)
{
if (m_robot.type() == 0) {
assert(m.size() == m_robot.nv());
m_mask = m;
const VectorXi::Index dim = static_cast<VectorXi::Index>(m.sum());
MatrixXd S = MatrixXd::Zero(dim, m_robot.nv());
m_activeAxes.resize(dim);
unsigned int j = 0;
for (unsigned int i = 0; i < m.size(); i++)
if (m(i) != 0.0)
{
assert(m(i) == 1.0);
S(j, i) = 1.0;
m_activeAxes(j) = i;
j++;
}
m_constraint.resize((unsigned int)dim, m_robot.nv());
m_constraint.setMatrix(S);
}
}
int TaskJointPosture::dim() const
{
return (int)m_mask.sum();
}
const VectorXd & TaskJointPosture::Kp(){ return m_Kp; }
const VectorXd & TaskJointPosture::Kd(){ return m_Kd; }
void TaskJointPosture::Kp(Cref_vectorXd Kp)
{
//assert(Kp.size()==m_robot.nv()-6);
m_Kp = Kp;
}
void TaskJointPosture::Kd(Cref_vectorXd Kd)
{
//assert(Kd.size()==m_robot.nv()-6);
m_Kd = Kd;
}
void TaskJointPosture::setReference(const TrajectorySample & ref)
{
//assert(ref.pos.size()==m_robot.nv()-6);
//assert(ref.vel.size()==m_robot.nv()-6);
//assert(ref.acc.size()==m_robot.nv()-6);
m_ref = ref;
}
const TrajectorySample & TaskJointPosture::getReference() const
{
return m_ref;
}
const VectorXd & TaskJointPosture::getDesiredAcceleration() const
{
return m_a_des;
}
VectorXd TaskJointPosture::getAcceleration(Cref_vectorXd dv) const
{
return m_constraint.matrix()*dv;
}
const VectorXd & TaskJointPosture::position_error() const
{
return m_p_error;
}
const VectorXd & TaskJointPosture::velocity_error() const
{
return m_v_error;
}
const VectorXd & TaskJointPosture::position() const
{
return m_p;
}
const VectorXd & TaskJointPosture::velocity() const
{
return m_v;
}
const VectorXd & TaskJointPosture::position_ref() const
{
return m_ref.pos;
}
const VectorXd & TaskJointPosture::velocity_ref() const
{
return m_ref.vel;
}
const ConstraintBase & TaskJointPosture::getConstraint() const
{
return m_constraint;
}
const ConstraintBase & TaskJointPosture::compute(const double, Cref_vectorXd q, Cref_vectorXd v)
{
if (m_robot.type() == 0) {
m_p = q.tail(m_robot.nv());
m_v = v.tail(m_robot.nv());
m_p_error = m_p - m_ref.pos;
m_v_error = m_v - m_ref.vel;
m_a_des = -m_Kp.cwiseProduct(m_p_error)
- m_Kd.cwiseProduct(m_v_error)
+ m_ref.acc;
for (unsigned int i = 0; i < m_activeAxes.size(); i++)
m_constraint.vector()(i) = m_a_des(m_activeAxes(i));
return m_constraint;
}
}
}
}