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kinemat.cpp

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/*
ROBOOP -- A robotics object oriented package in C++
Copyright (C) 1996-2004  Richard Gourdeau

This library is free software; you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as
published by the Free Software Foundation; either version 2.1 of the
License, or (at your option) any later version.

This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA


Report problems and direct all questions to:

Richard Gourdeau
Professeur Agrege
Departement de genie electrique
Ecole Polytechnique de Montreal
C.P. 6079, Succ. Centre-Ville
Montreal, Quebec, H3C 3A7

email: richard.gourdeau@polymtl.ca
-------------------------------------------------------------------------------
Revision_history:

2003/02/03: Etienne Lachance
   -Rewrite mRobot::jacobian() since previous version was incorrect.
   -Added functions kine_pd().
   -Make sur that joint angles (qout) are in [-pi, pi] in inv_kin functions.

2003/05/18: Etienne Lachance
   -Added functions Robot_basic::jacobian_DLS_inv and 
    Robot/mRobot/mRobot_min_para::jacobian_dot

2003/08/22: Etienne Lachance
   -Added parameter converge in inv_kin prototype function. It indicates if the
    inverse kinematics solution converge.

2003/11/26: Etienne Lachance
   -Use angle conditions only if it converge in inv_kin.

2004/01/23: Etienne Lachance
   -Added const in non reference argument for all functions.

2004/03/12: Etienne Lachance
   -Added logic to set q in inv_kin. 

2004/04/24: Etienne Lachance
   -Moved inv_kin to invkine.cpp.

2004/05/14: Etienne Lachance
   -Replaced vec_x_prod by CrossProduct.

2004/05/21: Etienne Lachance
   -Added Doxygen comments.

2004/07/01: Ethan Tira-Thompson
    -Added support for newmat's use_namespace #define, using ROBOOP namespace

2004/07/16: Ethan Tira-Thompson
    -Supports Link::immobile flag so jacobians and deltas are 0 for immobile joints
    -Jacobians will only contain entries for mobile joints - otherwise NaNs result
     in later processing
    -Added parameters to jacobian functions to generate for frames other than 
     the end effector
-------------------------------------------------------------------------------
*/


static const char rcsid[] = "$Id: kinemat.cpp,v 1.31 2004/08/16 00:37:53 gourdeau Exp $";

#include "robot.h"

#ifdef use_namespace
namespace ROBOOP {
  using namespace NEWMAT;
#endif


void Robot_basic::kine(Matrix & Rot, ColumnVector & pos)const
{
   kine(Rot,pos,dof+fix);
}

void Robot_basic::kine(Matrix & Rot, ColumnVector & pos, const int j)const
{
   if(j < 1 || j > dof+fix) error("j must be 1 <= j <= dof+fix");

   Rot = links[1].R;
   pos = links[1].p;
   for (int i = 2; i <= j; i++) {
      pos = pos + Rot*links[i].p;
      Rot = Rot*links[i].R;
   }
}

ReturnMatrix Robot_basic::kine(void)const
{
   Matrix thomo;

   thomo = kine(dof+fix);
   thomo.Release(); return thomo;
}

ReturnMatrix Robot_basic::kine(const int j)const
{
   Matrix Rot, thomo(4,4);
   ColumnVector pos;

   kine(Rot,pos,j);
   thomo << fourbyfourident;
   thomo.SubMatrix(1,3,1,3) = Rot;
   thomo.SubMatrix(1,3,4,4) = pos;
   thomo.Release(); return thomo;
}

ReturnMatrix Robot_basic::kine_pd(const int j)const
{
   Matrix temp(3,5), Rot;
   ColumnVector pos, pos_dot;

   if(j < 1 || j > dof)
     error("j must be 1 <= j <= dof");

   kine_pd(Rot, pos, pos_dot, j);

   temp.SubMatrix(1,3,1,3) = Rot;
   temp.SubMatrix(1,3,4,4) = pos;
   temp.SubMatrix(1,3,5,5) = pos_dot;
   temp.Release();
   return temp;
}

ReturnMatrix Robot_basic::jacobian_DLS_inv(const double eps, const double lambda_max,
      const int ref)const
{
   Matrix jacob_inv_DLS, U, V;
   DiagonalMatrix Q;
   SVD(jacobian(ref), Q, U, V);

   if(Q(6,6) >= eps)
      jacob_inv_DLS = V*Q.i()*U.t();
   else
   {
      Q(6,6) += (1 - pow(Q(6,6)/eps,2))*lambda_max*lambda_max;
      jacob_inv_DLS = V*Q.i()*U.t();
   }

   jacob_inv_DLS.Release();
   return(jacob_inv_DLS);
}

// ---------------------  R O B O T   DH   N O T A T I O N  --------------------------

void Robot::kine_pd(Matrix & Rot, ColumnVector & pos, ColumnVector & pos_dot,
                    const int j)const
{
   if(j < 1 || j > dof)
      error("j must be 1 <= j <= dof");

   if( (pos.Nrows()!=3) || (pos.Ncols()!=1) )
       pos = ColumnVector(3); 
   if( (pos_dot.Nrows()!=3) || (pos_dot.Ncols()!=1) )
     pos_dot = ColumnVector(3);

   pos = 0.0;
   pos_dot = 0.0;
   for(int i = 1; i <= j; i++)
   {
      R[i] = R[i-1]*links[i].R;
      pos = pos + R[i-1]*links[i].p;
      pos_dot = pos_dot + CrossProduct(R[i]*w[i], R[i-1]*links[i].p);
   }
   Rot = R[j];
}

void Robot::dTdqi(Matrix & dRot, ColumnVector & dp,
                  const int i)
{
   int j;
   if(i < 1 || i > dof) error("i must be 1 <= i <= dof");
   if(links[i].get_immobile()) {
      dRot = Matrix(3,3);
      dp = Matrix(3,1);
      dRot = 0.0;
      dp = 0.0;
   } else if(links[i].get_joint_type() == 0) {
      Matrix dR(3,3);
      dR = 0.0;
      Matrix R2 = links[i].R;
      ColumnVector p2 = links[i].p;
      dRot = Matrix(3,3);
      dRot << threebythreeident;
      for(j = 1; j < i; j++) {
         dRot = dRot*links[j].R;
      }
      // dRot * Q
      for(j = 1; j <= 3; j++) {
         dR(j,1) = dRot(j,2);
         dR(j,2) = -dRot(j,1);
      }
      for(j = i+1; j <= dof; j++) {
         p2 = p2 + R2*links[j].p;
         R2 = R2*links[j].R;
      }
      dp = dR*p2;
      dRot = dR*R2;
   } else {
      dRot = Matrix(3,3);
      dp = Matrix(3,1);
      dRot = 0.0;
      dp = 0.0;
      dp(3) = 1.0;
      for(j = i-1; j >= 1; j--) {
         dp = links[j].R*dp;
      }
   }
}

ReturnMatrix Robot::dTdqi(const int i)
{
   Matrix dRot, thomo(4,4);
   ColumnVector dpos;

   dTdqi(dRot, dpos, i);
   thomo = (Real) 0.0;
   thomo.SubMatrix(1,3,1,3) = dRot;
   thomo.SubMatrix(1,3,4,4) = dpos;
   thomo.Release(); return thomo;
}

ReturnMatrix Robot::jacobian(const int endlink, const int ref)const
{
   int i, j;
   const int adof=get_available_dof(endlink);
   Matrix jac(6,adof);
   Matrix pr, temp(3,1);

   if(ref < 0 || ref > dof) error("invalid referential");

   for(i = 1; i <= dof; i++) {
      R[i] = R[i-1]*links[i].R;
      p[i] = p[i-1]+R[i-1]*links[i].p;
   }

   for(i=1,j=1; j <= adof; i++) {
      if(links[i].get_immobile())
         continue;
      if(links[i].get_joint_type() == 0) {
         temp(1,1) = R[i-1](1,3);
         temp(2,1) = R[i-1](2,3);
         temp(3,1) = R[i-1](3,3);
         pr = p[dof]-p[i-1];
         temp = CrossProduct(temp,pr);
         jac(1,j) = temp(1,1);
         jac(2,j) = temp(2,1);
         jac(3,j) = temp(3,1);
         jac(4,j) = R[i-1](1,3);
         jac(5,j) = R[i-1](2,3);
         jac(6,j) = R[i-1](3,3);
      } else {
         jac(1,j) = R[i-1](1,3);
         jac(2,j) = R[i-1](2,3);
         jac(3,j) = R[i-1](3,3);
         jac(4,j) = jac(5,j) = jac(6,j) = 0.0;
      }
      j++;
   }

   if(ref != 0) {
      Matrix zeros(3,3);
      zeros = (Real) 0.0;
      Matrix RT = R[ref].t();
      Matrix Rot;
      Rot = ((RT & zeros) | (zeros & RT));
      jac = Rot*jac;
   }
   jac.Release(); return jac;
}

ReturnMatrix Robot::jacobian_dot(const int ref)const
{
   int i, j;
   const int adof=get_available_dof();
   Matrix jacdot(6,adof);
   ColumnVector e(3), temp, pr, ppr;

   if(ref < 0 || ref > dof)
      error("invalid referential");

   for(i = 1; i <= dof; i++)
   {
      R[i] = R[i-1]*links[i].R;
      p[i] = p[i-1] + R[i-1]*links[i].p;
      pp[i] = pp[i-1] + CrossProduct(R[i]*w[i], R[i-1]*links[i].p);
   }

   for(i=1,j=1; j <= adof; i++) {
      if(links[i].get_immobile())
                                 continue;
      if(links[i].get_joint_type() == 0)
      {
         pr = p[dof]-p[i-1];
         ppr = pp[dof]-pp[i-1];
         e(1) = R[i-1](1,3);
         e(2) = R[i-1](2,3);
         e(3) = R[i-1](3,3);
         temp = CrossProduct(R[i-1]*w[i-1], e);
         jacdot(4,j) = temp(1);           // d(e)/dt
         jacdot(5,j) = temp(2);
         jacdot(6,j) = temp(3);
         temp = CrossProduct(temp,pr) + CrossProduct(e,ppr);
         jacdot(1,j) = temp(1);
         jacdot(2,j) = temp(2);
         jacdot(3,j) = temp(3);
      }
      else
         jacdot(1,j) = jacdot(2,j) = jacdot(3,j) =
            jacdot(4,j) = jacdot(5,j) = jacdot(6,j) = 0.0;
      j++;
   }

   if(ref != 0) {
      Matrix zeros(3,3);
      zeros = (Real) 0.0;
      Matrix RT = R[ref].t();
      Matrix Rot;
      Rot = ((RT & zeros) | (zeros & RT));
      jacdot = Rot*jacdot;
   }

   jacdot.Release(); return jacdot;
}

// ----------------  R O B O T   M O D I F I E D   DH   N O T A T I O N  --------------------------

void mRobot::kine_pd(Matrix & Rot, ColumnVector & pos, ColumnVector & pos_dot,
                     const int j)const
{
   if(j < 1 || j > dof+fix)
      error("j must be 1 <= j <= dof+fix");

   if( (pos.Nrows()!=3) || (pos.Ncols()!=1) )
       pos = ColumnVector(3); 
   if( (pos_dot.Nrows()!=3) || (pos_dot.Ncols()!=1) )
     pos_dot = ColumnVector(3);

   pos = 0.0;
   pos_dot = 0.0;
   for(int i = 1; i <= j; i++)
   {
      pos = pos + R[i-1]*links[i].p;
      pos_dot = pos_dot + R[i-1]*CrossProduct(w[i-1], links[i].p);
      R[i] = R[i-1]*links[i].R;
   }
   Rot = R[j];
}

void mRobot::dTdqi(Matrix & dRot, ColumnVector & dp, const int i)
{
   int j;
   if(i < 1 || i > dof) error("i must be 1 <= i <= dof");
   if(links[i].get_immobile()) {
      dRot = Matrix(3,3);
      dp = Matrix(3,1);
      dRot = 0.0;
      dp = 0.0;
   } else if(links[i].get_joint_type() == 0) {
      Matrix dR(3,3), R2(3,3), p2(3,1);
      dR = 0.0;
      dRot = Matrix(3,3);
      dRot << threebythreeident;
      for(j = 1; j <= i; j++) {
         dRot = dRot*links[j].R;
      }
      // dRot * Q
      for(j = 1; j <= 3; j++) {
         dR(j,1) = dRot(j,2);
         dR(j,2) = -dRot(j,1);
      }
      if(i < dof) {
         R2 = links[i+1].R;
         p2 = links[i+1].p;
      } else {
         R2 <<  threebythreeident;
         p2 = 0.0;
      }
      for(j = i+1; j <= dof; j++) {
         p2 = p2 + R2*links[j].p;
         R2 = R2*links[j].R;
      }
      dp = dR*p2;
      dRot = dR*R2;  // probleme ...
   } else {
      dRot = Matrix(3,3);
      dp = Matrix(3,1);
      dRot = 0.0;
      dp = 0.0;
      dp(3) = 1.0;
      for(j = i; j >= 1; j--) {
         dp = links[j].R*dp;
      }
   }
}

ReturnMatrix mRobot::dTdqi(const int i)
{
   Matrix dRot, thomo(4,4);
   ColumnVector dpos;

   dTdqi(dRot, dpos, i);
   thomo = (Real) 0.0;
   thomo.SubMatrix(1,3,1,3) = dRot;
   thomo.SubMatrix(1,3,4,4) = dpos;
   thomo.Release(); return thomo;
}

ReturnMatrix mRobot::jacobian(const int endlink, const int ref)const
{
   int i, j;
   const int adof=get_available_dof(endlink);
   Matrix jac(6,adof);
   ColumnVector pr(3), temp(3);

   if(ref < 0 || ref > dof+fix)
      error("invalid referential");

   for(i = 1; i <= dof+fix; i++) {
      R[i] = R[i-1]*links[i].R;
      p[i] = p[i-1] + R[i-1]*links[i].p;
   }

   for(i=1,j=1; j <= adof; i++) {
      if(links[i].get_immobile())
         continue;
      if(links[i].get_joint_type() == 0){
         temp(1) = R[i](1,3);
         temp(2) = R[i](2,3);
         temp(3) = R[i](3,3);
         pr = p[dof+fix]-p[i];
         temp = CrossProduct(temp,pr);
         jac(1,j) = temp(1);
         jac(2,j) = temp(2);
         jac(3,j) = temp(3);
         jac(4,j) = R[i](1,3);
         jac(5,j) = R[i](2,3);
         jac(6,j) = R[i](3,3);
      } else {
         jac(1,j) = R[i](1,3);
         jac(2,j) = R[i](2,3);
         jac(3,j) = R[i](3,3);
         jac(4,j) = jac(5,j) = jac(6,j) = 0.0;
      }
      j++;
   }
   if(ref != 0) {
      Matrix zeros(3,3);
      zeros = (Real) 0.0;
      Matrix RT = R[ref].t();
      Matrix Rot;
      Rot = ((RT & zeros) | (zeros & RT));
      jac = Rot*jac;
   }
   jac.Release(); return jac;
}

ReturnMatrix mRobot::jacobian_dot(const int ref)const
{
   int i, j;
   const int adof=get_available_dof();
   Matrix jacdot(6,adof);
   ColumnVector e(3), temp, pr, ppr;

   if(ref < 0 || ref > dof+fix)
      error("invalid referential");

   for(i = 1; i <= dof+fix; i++)
   {
      R[i] = R[i-1]*links[i].R;
      p[i] = p[i-1] + R[i-1]*links[i].p;
      pp[i] = pp[i-1] + R[i-1]*CrossProduct(w[i-1], links[i].p);
   }

   for(i=1,j=1; j <= adof; i++) {
      if(links[i].get_immobile())
         continue;
      if(links[i].get_joint_type() == 0)
      {
         pr = p[dof+fix]-p[i];
         ppr = pp[dof+fix]-pp[i];

         e(1) = R[i](1,3);
         e(2) = R[i](2,3);
         e(3) = R[i](3,3);
         temp = CrossProduct(R[i-1]*w[i-1], e);
         jacdot(4,j) = temp(1);           // d(e)/dt
         jacdot(5,j) = temp(2);
         jacdot(6,j) = temp(3);

         temp = CrossProduct(temp,pr) + CrossProduct(e,ppr);
         jacdot(1,j) = temp(1);
         jacdot(2,j) = temp(2);
         jacdot(3,j) = temp(3);
      }
      else
         jacdot(1,j) = jacdot(2,j) = jacdot(3,j) =
            jacdot(4,j) = jacdot(5,j) = jacdot(6,j) = 0.0;
      j++;
   }

   if(ref != 0) {
      Matrix zeros(3,3);
      zeros = (Real) 0.0;
      Matrix RT = R[ref].t();
      Matrix Rot;
      Rot = ((RT & zeros) | (zeros & RT));
      jacdot = Rot*jacdot;
   }

   jacdot.Release(); return jacdot;
}

// ------------- R O B O T  DH  M O D I F I E D,  M I N I M U M   P A R A M E T E R S  ------------

void mRobot_min_para::kine_pd(Matrix & Rot, ColumnVector & pos, ColumnVector & pos_dot,
                              const int j)const
{
   if(j < 1 || j > dof+fix)
      error("j must be 1 <= j <= dof+fix");

   if( (pos.Nrows()!=3) || (pos.Ncols()!=1) )
       pos = ColumnVector(3); 
   if( (pos_dot.Nrows()!=3) || (pos_dot.Ncols()!=1) )
     pos_dot = ColumnVector(3);

   pos = 0.0;
   pos_dot = 0.0;
   for(int i = 1; i <= j; i++)
   {
      pos = pos + R[i-1]*links[i].p;
      pos_dot = pos_dot + R[i-1]*CrossProduct(w[i-1], links[i].p);
      R[i] = R[i-1]*links[i].R;
   }
   Rot = R[j];
}

void mRobot_min_para::dTdqi(Matrix & dRot, ColumnVector & dp, const int i)
{
   int j;
   if(i < 1 || i > dof) error("i must be 1 <= i <= dof");
   if(links[i].get_immobile()) {
      dRot = Matrix(3,3);
      dp = Matrix(3,1);
      dRot = 0.0;
      dp = 0.0;
   } else if(links[i].get_joint_type() == 0) {
      Matrix dR(3,3), R2, p2(3,1);
      dR = 0.0;
      dRot = Matrix(3,3);
      dRot << threebythreeident;
      for(j = 1; j <= i; j++) {
         dRot = dRot*links[j].R;
      }
      // dRot * Q
      for(j = 1; j <= 3; j++) {
         dR(j,1) = dRot(j,2);
         dR(j,2) = -dRot(j,1);
      }
      if(i < dof) {
         R2 = links[i+1].R;
         p2 = links[i+1].p;
      } else {
         R2 <<  threebythreeident;
         p2 = 0.0;
      }
      for(j = i+1; j <= dof; j++) {
         p2 = p2 + R2*links[j].p;
         R2 = R2*links[j].R;
      }
      dp = dR*p2;
      dRot = dR*R2;
   } else {
      dRot = Matrix(3,3);
      dp = Matrix(3,1);
      dRot = 0.0;
      dp = 0.0;
      dp(3) = 1.0;
      for(j = i; j >= 1; j--) {
         dp = links[j].R*dp;
      }
   }
}

ReturnMatrix mRobot_min_para::dTdqi(const int i)
{
   Matrix dRot, thomo(4,4);
   ColumnVector dpos;

   dTdqi(dRot, dpos, i);
   thomo = (Real) 0.0;
   thomo.SubMatrix(1,3,1,3) = dRot;
   thomo.SubMatrix(1,3,4,4) = dpos;
   thomo.Release(); return thomo;
}

ReturnMatrix mRobot_min_para::jacobian(const int endlink, const int ref)const
{
   int i, j;
   const int adof=get_available_dof(endlink);
   Matrix jac(6,adof);
   ColumnVector pr(3), temp(3);

   if(ref < 0 || ref > dof+fix)
      error("invalid referential");

   for(i = 1; i <= dof+fix; i++) {
      R[i] = R[i-1]*links[i].R;
      p[i] = p[i-1] + R[i-1]*links[i].p;
   }

   for(i=1,j=1; j<=adof; i++) {
      if(links[i].get_immobile())
         continue;
      if(links[i].get_joint_type() == 0){
         temp(1) = R[i](1,3);
         temp(2) = R[i](2,3);
         temp(3) = R[i](3,3);

         pr = p[dof+fix]-p[i];
         temp = CrossProduct(temp,pr);
         jac(1,j) = temp(1);
         jac(2,j) = temp(2);
         jac(3,j) = temp(3);
         jac(4,j) = R[i](1,3);
         jac(5,j) = R[i](2,3);
         jac(6,j) = R[i](3,3);
      } else {
         jac(1,j) = R[i](1,3);
         jac(2,j) = R[i](2,3);
         jac(3,j) = R[i](3,3);
         jac(4,j) = jac(5,j) = jac(6,j) = 0.0;
      }
      j++;
   }
   if(ref != 0) {
      Matrix zeros(3,3);
      zeros = (Real) 0.0;
      Matrix RT = R[ref].t();
      Matrix Rot;
      Rot = ((RT & zeros) | (zeros & RT));
      jac = Rot*jac;
   }

   jac.Release(); return jac;
}

ReturnMatrix mRobot_min_para::jacobian_dot(const int ref)const
{
   int i, j;
   const int adof=get_available_dof();
   Matrix jacdot(6,adof);
   ColumnVector e(3), temp, pr, ppr;

   if(ref < 0 || ref > dof+fix)
      error("invalid referential");

   for(i = 1; i <= dof+fix; i++)
   {
      R[i] = R[i-1]*links[i].R;
      p[i] = p[i-1] + R[i-1]*links[i].p;
      pp[i] = pp[i-1] + R[i-1]*CrossProduct(w[i-1], links[i].p);
   }

   for(i=1,j=1; j <= dof; i++) {
      if(links[i].get_immobile())
         continue;
      if(links[i].get_joint_type() == 0)
      {
         pr = p[dof+fix]-p[i];
         ppr = pp[dof+fix]-pp[i];

         e(1) = R[i](1,3);
         e(2) = R[i](2,3);
         e(3) = R[i](3,3);
         temp = CrossProduct(R[i-1]*w[i-1], e);
         jacdot(4,j) = temp(1);           // d(e)/dt
         jacdot(5,j) = temp(2);
         jacdot(6,j) = temp(3);

         temp = CrossProduct(temp,pr) + CrossProduct(e,ppr);
         jacdot(1,j) = temp(1);
         jacdot(2,j) = temp(2);
         jacdot(3,j) = temp(3);
      }
      else
         jacdot(1,j) = jacdot(2,j) = jacdot(3,j) =
            jacdot(4,j) = jacdot(5,j) = jacdot(6,j) = 0.0;
      j++;
   }

   if(ref != 0) {
      Matrix zeros(3,3);
      zeros = (Real) 0.0;
      Matrix RT = R[ref].t();
      Matrix Rot;
      Rot = ((RT & zeros) | (zeros & RT));
      jacdot = Rot*jacdot;
   }

   jacdot.Release(); return jacdot;
}

#ifdef use_namespace
}
#endif

---

kni
Author(s): Neuronics AG (see AUTHORS.txt); ROS wrapper by Martin Günther
autogenerated on Tue Mar 5 12:32:59 2013