void TaskInverseKinematics::update(const ros::Time& time, const ros::Duration& period)
	{

        // get joint positions
  		for(int i=0; i < joint_handles_.size(); i++) 
  		{
    		joint_msr_states_.q(i) = joint_handles_[i].getPosition();
    		joint_msr_states_.qdot(i) = joint_handles_[i].getVelocity();
    	}

    	if (cmd_flag_)
    	{
	    	// computing Jacobian
	    	jnt_to_jac_solver_->JntToJac(joint_msr_states_.q,J_);

	    	// computing J_pinv_
	    	pseudo_inverse(J_.data,J_pinv_);

	    	// computing forward kinematics
	    	fk_pos_solver_->JntToCart(joint_msr_states_.q,x_);

	    	// end-effector position/orientation error
	    	x_err_.vel = x_des_.p - x_.p;

	    	// getting quaternion from rotation matrix
	    	x_.M.GetQuaternion(quat_curr_.v(0),quat_curr_.v(1),quat_curr_.v(2),quat_curr_.a);
	    	x_des_.M.GetQuaternion(quat_des_.v(0),quat_des_.v(1),quat_des_.v(2),quat_des_.a);

	    	skew_symmetric(quat_des_.v,skew_);

	    	for (int i = 0; i < skew_.rows(); i++)
	    	{
	    		v_temp_(i) = 0.0;
	    		for (int k = 0; k < skew_.cols(); k++)
	    			v_temp_(i) += skew_(i,k)*(quat_curr_.v(k));
	    	}

	    	x_err_.rot = quat_curr_.a*quat_des_.v - quat_des_.a*quat_curr_.v - v_temp_; 

	    	// computing q_dot
	    	for (int i = 0; i < J_pinv_.rows(); i++)
	    	{
	    		joint_des_states_.qdot(i) = 0.0;
	    		for (int k = 0; k < J_pinv_.cols(); k++)
	    			joint_des_states_.qdot(i) += J_pinv_(i,k)*x_err_(k); //removed scaling factor of .7
          
	    	}

	    	// integrating q_dot -> getting q (Euler method)
	    	for (int i = 0; i < joint_handles_.size(); i++)
	    		joint_des_states_.q(i) += period.toSec()*joint_des_states_.qdot(i);
			
			// joint limits saturation
	        for (int i =0;  i < joint_handles_.size(); i++)
	        {
	        	if (joint_des_states_.q(i) < joint_limits_.min(i))
	            	joint_des_states_.q(i) = joint_limits_.min(i);
	          	if (joint_des_states_.q(i) > joint_limits_.max(i))
	            	joint_des_states_.q(i) = joint_limits_.max(i);
	        }

	    	if (Equal(x_,x_des_,0.005))
	    	{
	    		ROS_INFO("On target");
	    		cmd_flag_ = 0;
	    	}
	    }
	    
    	// set controls for joints
    	for (int i = 0; i < joint_handles_.size(); i++)
    	{
    		tau_cmd_(i) = PIDs_[i].computeCommand(joint_des_states_.q(i) - joint_msr_states_.q(i),period);
		   	joint_handles_[i].setCommand(tau_cmd_(i));
        }
	}
	void DynamicSlidingModeControllerTaskSpace::update(const ros::Time& time, const ros::Duration& period)
	{
		// get joint positions
  		for(int i=0; i < joint_handles_.size(); i++) 
  		{
    		joint_msr_states_.q(i) = joint_handles_[i].getPosition();
    		joint_msr_states_.qdot(i) = joint_handles_[i].getVelocity();
    	} 

    	if (cmd_flag_) 
    	{
	    	// computing forward kinematics
		    fk_pos_solver_->JntToCart(joint_msr_states_.q,x_);

		    // computing Jacobian J(q)
		    jnt_to_jac_solver_->JntToJac(joint_msr_states_.q,J_);

		    // computing Jacobian pseudo-inversion
		    pseudo_inverse(J_.data,J_pinv_);

		    // computing end-effector position/orientation error w.r.t. desired frame
		    x_err_ = diff(x_,x_des_);
		    
		    /* Trying quaternions, it seems to work better 

		    // end-effector position/orientation error
	    	x_err_.vel = (x_des_.p - x_.p);

	    	// getting quaternion from rotation matrix
	    	x_.M.GetQuaternion(quat_curr_.v(0),quat_curr_.v(1),quat_curr_.v(2),quat_curr_.a);
	    	x_des_.M.GetQuaternion(quat_des_.v(0),quat_des_.v(1),quat_des_.v(2),quat_des_.a);

	    	skew_symmetric(quat_des_.v,skew_);

	    	for (int i = 0; i < skew_.rows(); i++)
	    	{
	    		v_temp_(i) = 0.0;
	    		for (int k = 0; k < skew_.cols(); k++)
	    			v_temp_(i) += skew_(i,k)*(quat_curr_.v(k));
	    	}

	    	x_err_.rot = (quat_curr_.a*quat_des_.v - quat_des_.a*quat_curr_.v) - v_temp_; 
			*/
	    	// clearing error msg before publishing
    		msg_err_.data.clear();

		    for(int i = 0; i < e_ref_.size(); i++)
			{
				e_ref_(i) = x_err_(i);
		    	msg_err_.data.push_back(e_ref_(i));
			}

			joint_des_states_.qdot.data = J_pinv_*e_ref_;

			joint_des_states_.q.data = joint_msr_states_.q.data + period.toSec()*joint_des_states_.qdot.data;

	    	// computing S
	    	S_.data = (joint_msr_states_.qdot.data - joint_des_states_.qdot.data) + alpha_.data.cwiseProduct(joint_msr_states_.q.data - joint_des_states_.q.data);

			//for (int i = 0; i < joint_handles_.size(); i++)
				//S_(i) = (joint_msr_states_.qdot(i) - joint_des_states_.qdot(i)) + alpha_(i)*tanh(lambda_(i)*(joint_msr_states_.q(i) - joint_des_states_.q(i)));
	    	
	    	// saving S0 on the first step
	    	if (step_ == 0)
	    		S0_ = S_;

	    	// computing Sd
	    	for (int i = 0; i < joint_handles_.size(); i++)
	    		Sd_(i) = S0_(i)*exp(-k_(i)*(step_*period.toSec()));

	    	Sq_.data = S_.data + Sd_.data;//- Sd_.data;

	    	// computing sigma_dot as sgn(Sq)
	    	for (int i = 0; i < joint_handles_.size(); i++)
	    		sigma_dot_(i) = -(Sq_(i) < 0) + (Sq_(i) > 0); 

	    	// integrating sigma_dot
	    	sigma_.data += period.toSec()*sigma_dot_.data;

	    	//for (int i = 0; i < joint_handles_.size(); i++)
	    		//sigma_(i) += period.toSec()*pow(Sq_(i),0.5);

	    	// computing Sr
	    	Sr_.data = Sq_.data + gamma_.data.cwiseProduct(sigma_.data);

	    	// computing tau
	    	tau_.data = -Kd_.data.cwiseProduct(Sr_.data);

	    	step_++;

	    	if (Equal(x_,x_des_,0.05))
	    	{
	    		
	    		ROS_INFO("On target");
	    		cmd_flag_ = 0;
	    		return;
	    	}
	    } 

    	// set controls for joints
    	for (int i = 0; i < joint_handles_.size(); i++)
    	{	
    		if (!cmd_flag_)
    			tau_(i) = PIDs_[i].computeCommand(joint_des_states_.q(i) - joint_msr_states_.q(i),period);//Kd_(i)*(alpha_(i)*(joint_des_states_.q(i) - joint_msr_states_.q(i)) + (joint_des_states_.qdot(i) - joint_msr_states_.qdot(i))) ;

	    	joint_handles_[i].setCommand(tau_(i));
    	}

    	// publishing markers for visualization in rviz
    	pub_marker_.publish(msg_marker_);
    	msg_id_++;

	    // publishing error for all tasks as an array of ntasks*6
	    pub_error_.publish(msg_err_);
	    // publishing actual and desired trajectory for each task (links) as an array of ntasks*3
	    pub_pose_.publish(msg_pose_);
	    pub_traj_.publish(msg_traj_);
	    ros::spinOnce();

	}
	void BacksteppingController::update(const ros::Time& time, const ros::Duration& period)
	{
		// get joint positions
  		for(int i=0; i < joint_handles_.size(); i++) 
  		{
    		joint_msr_states_.q(i) = joint_handles_[i].getPosition();
    		joint_msr_states_.qdot(i) = joint_handles_[i].getVelocity();
    		//joint_des_states_.q(i) = joint_msr_states_.q(i);
    		//joint_des_states_.qdot(i) = joint_msr_states_.qdot(i);
    	}

    	/* TASK 0 (Main)*/

    	double freq_ = 3.0;
    	double amp_ = 0.1;

		//Desired posture 8 figure (circle figure)
		x_des_.p(0) = /*0.3*/0.25 + /*amp_*(1 - cos(freq_*period.toSec()*step_));*/amp_/2*sin(freq_*period.toSec()*step_);
    	x_des_.p(1) = /*0.3*/0 + /*amp_*sin(freq_*period.toSec()*step_);*/amp_/2*sin(2*freq_*period.toSec()*step_);
    	x_des_.p(2) = /*1.1*/1.75;
    	x_des_.M = KDL::Rotation(KDL::Rotation::RPY(0,0,0));//RPY(0,3.1415,0));

    	//velocity
    	x_des_dot_(0) = /*amp_*freq_*sin(freq_*period.toSec()*step_);*/amp_/2*freq_*cos(freq_*period.toSec()*step_);
    	x_des_dot_(1) = /*amp_*freq_*cos(freq_*period.toSec()*step_);*/amp_/2*2*freq_*cos(2*freq_*period.toSec()*step_);
    	x_des_dot_(2) = 0;
    	x_des_dot_(3) = 0;
    	x_des_dot_(4) = 0;
    	x_des_dot_(5) = 0;

    	//acc
    	x_des_dotdot_(0) = /*amp_*freq_*freq_*cos(freq_*period.toSec()*step_);*/-amp_/2*freq_*freq_*sin(freq_*period.toSec()*step_);
    	x_des_dotdot_(1) = /*-amp_*freq_*freq_*sin(freq_*period.toSec()*step_);*/-amp_/2*2*2*freq_*freq_*sin(freq_*period.toSec()*step_);
    	x_des_dotdot_(2) = 0;
    	x_des_dotdot_(3) = 0;
    	x_des_dotdot_(4) = 0;
    	x_des_dotdot_(5) = 0;

    	step_++;

    	// clearing msgs before publishing
    	msg_err_.data.clear();
    	msg_pose_.data.clear();
    	msg_traj_.data.clear();
    	
    	if (cmd_flag_)
    	{
    		// computing Inertia, Coriolis and Gravity matrices
		    id_solver_->JntToMass(joint_msr_states_.q, M_);
		    id_solver_->JntToCoriolis(joint_msr_states_.q, joint_msr_states_.qdot, C_);
		    id_solver_->JntToGravity(joint_msr_states_.q, G_);

	    	// computing Jacobian J(q)
	    	jnt_to_jac_solver_->JntToJac(joint_msr_states_.q,J_);

	    	// computing Jacobian pseudo-inversion
	    	pseudo_inverse(J_.data,J_pinv_);

	    	// using the first step to compute jacobian of the tasks
	    	if (first_step_)
	    	{
	    		J_last_ = J_;
	    		first_step_ = 0;
	    		return;
	    	}

	    	// computing the derivative of Jacobian J_dot(q) through numerical differentiation
	    	J_dot_.data = (J_.data - J_last_.data)/period.toSec();

	    	// computing forward kinematics
	    	fk_pos_solver_->JntToCart(joint_msr_states_.q,x_);

	    	// pushing x to the pose msg
	    	for (int i = 0; i < 3; i++)
	    	{
	    		msg_pose_.data.push_back(x_.p(i));
	    		msg_traj_.data.push_back(x_des_.p(i));
	    	}

	    	// setting marker parameters
	    	set_marker(x_,msg_id_);

	    	// computing end-effector position/orientation error w.r.t. desired frame
	    	x_err_ = diff(x_,x_des_);
	    	
	    	// computing task space velocity (of end-effector)
	    	x_dot_ = J_.data*joint_msr_states_.qdot.data;

	    	// computing reference variables in task space
	    	for (int i = 0; i < 6; i++)
	    	{
	    		x_ref_dot_(i) = x_des_dot_(i) + Kp_(i)*x_err_(i);
	    		x_ref_dotdot_(i) = x_des_dotdot_(i) + Kd_(i)*(x_des_dot_(i) - x_dot_(i)) + Kp_(i)*x_err_(i);
	    	}

	    	// computing reference variable in joint space
	    	joint_ref_.qdot.data = J_pinv_*x_ref_dot_;

	    	joint_ref_.qdotdot.data = J_pinv_*(x_ref_dotdot_ - J_dot_.data*joint_msr_states_.qdot.data);

	    	joint_des_states_.qdot.data = J_pinv_*x_des_dot_;

	    	joint_des_states_.q.data += period.toSec()*joint_des_states_.qdot.data;

	    	// finally, computing the torque tau
	    	tau_.data = M_.data*joint_ref_.qdotdot.data + C_.data.cwiseProduct(joint_ref_.qdot.data) + G_.data + /*K_d*/(joint_ref_.qdot.data - joint_msr_states_.qdot.data) + (joint_des_states_.q.data - joint_msr_states_.q.data); 

	    	// saving J_ of the last iteration
	    	J_last_ = J_;		
    	}

    	// set controls for joints
    	for (int i = 0; i < joint_handles_.size(); i++)
    	{
    		if(cmd_flag_)
    			joint_handles_[i].setCommand(tau_(i));
    		else
    			joint_handles_[i].setCommand(PIDs_[i].computeCommand(joint_des_states_.q(i) - joint_msr_states_.q(i),period));
    	}

    	// publishing markers for visualization in rviz
    	pub_marker_.publish(msg_marker_);
    	msg_id_++;

	    // publishing error for all tasks as an array of ntasks*6
	    pub_error_.publish(msg_err_);
	    // publishing actual and desired trajectory for each task (links) as an array of ntasks*3
	    pub_pose_.publish(msg_pose_);
	    pub_traj_.publish(msg_traj_);
	    ros::spinOnce();

	}
	void MultiTaskPriorityInverseKinematics::update(const ros::Time& time, const ros::Duration& period)
	{
		// get joint positions
  		for(int i=0; i < joint_handles_.size(); i++) 
  		{
    		joint_msr_states_.q(i) = joint_handles_[i].getPosition();
    		joint_msr_states_.qdot(i) = joint_handles_[i].getVelocity();
    	}
    	
    	// clearing error msg before publishing
    	msg_err_.data.clear();

    	if (cmd_flag_)
    	{
    		// resetting P and qdot(t=0) for the highest priority task
    		P_ = I_;	
    		SetToZero(joint_des_states_.qdot);

    		for (int index = 0; index < ntasks_; index++)
    		{
		    	// computing Jacobian
		    	jnt_to_jac_solver_->JntToJac(joint_msr_states_.q,J_,links_index_[index]);

		    	// computing forward kinematics
		    	fk_pos_solver_->JntToCart(joint_msr_states_.q,x_,links_index_[index]);

		    	// setting marker parameters
		    	set_marker(x_,index,msg_id_);

		    	// computing end-effector position/orientation error w.r.t. desired frame
		    	x_err_ = diff(x_,x_des_[index]);

		    	for(int i = 0; i < e_dot_.size(); i++)
		    	{
		    		e_dot_(i) = x_err_(i);
	    			msg_err_.data.push_back(e_dot_(i));
		    	}

		    	// computing (J[i]*P[i-1])^pinv
		    	J_star_.data = J_.data*P_;
		    	pseudo_inverse(J_star_.data,J_pinv_);

		    	// computing q_dot (qdot(i) = qdot[i-1] + (J[i]*P[i-1])^pinv*(x_err[i] - J[i]*qdot[i-1]))
		    	joint_des_states_.qdot.data = joint_des_states_.qdot.data + J_pinv_*(e_dot_ - J_.data*joint_des_states_.qdot.data);

		    	// stop condition
		    	if (!on_target_flag_[index])
		    	{
			    	if (Equal(x_,x_des_[index],0.01))
			    	{
			    		ROS_INFO("Task %d on target",index);
			    		on_target_flag_[index] = true;
			    		if (index == (ntasks_ - 1))
			    			cmd_flag_ = 0;
			    	}
			    }

		    	// updating P_ (it mustn't make use of the damped pseudo inverse)
		    	pseudo_inverse(J_star_.data,J_pinv_,false);
		    	P_ = P_ - J_pinv_*J_star_.data;
		    }

		    // integrating q_dot -> getting q (Euler method)
		    for (int i = 0; i < joint_handles_.size(); i++)
		    	joint_des_states_.q(i) += period.toSec()*joint_des_states_.qdot(i);			
    	}

    	// set controls for joints
    	for (int i = 0; i < joint_handles_.size(); i++)
    	{
    		tau_cmd_(i) = PIDs_[i].computeCommand(joint_des_states_.q(i) - joint_msr_states_.q(i),joint_des_states_.qdot(i) - joint_msr_states_.qdot(i),period);
    		joint_handles_[i].setCommand(tau_cmd_(i));
    	}

    	// publishing markers for visualization in rviz
    	pub_marker_.publish(msg_marker_);
    	msg_id_++;

	    // publishing error for all tasks as an array of ntasks*6
	    pub_error_.publish(msg_err_);
	    ros::spinOnce();

	}
	void OneTaskInverseDynamicsJL::update(const ros::Time& time, const ros::Duration& period)
	{
		// get joint positions
  		for(int i=0; i < joint_handles_.size(); i++) 
  		{
    		joint_msr_states_.q(i) = joint_handles_[i].getPosition();
    		joint_msr_states_.qdot(i) = joint_handles_[i].getVelocity();
    	}

    	// clearing msgs before publishing
    	msg_err_.data.clear();
    	msg_pose_.data.clear();
    	
    	if (cmd_flag_)
    	{
    		// resetting N and tau(t=0) for the highest priority task
    		N_trans_ = I_;	
    		SetToZero(tau_);

    		// computing Inertia, Coriolis and Gravity matrices
		    id_solver_->JntToMass(joint_msr_states_.q, M_);
		    id_solver_->JntToCoriolis(joint_msr_states_.q, joint_msr_states_.qdot, C_);
		    id_solver_->JntToGravity(joint_msr_states_.q, G_);
		    G_.data.setZero();

		    // computing the inverse of M_ now, since it will be used often
		    pseudo_inverse(M_.data,M_inv_,false); //M_inv_ = M_.data.inverse(); 


	    	// computing Jacobian J(q)
	    	jnt_to_jac_solver_->JntToJac(joint_msr_states_.q,J_);

	    	// computing the distance from the mid points of the joint ranges as objective function to be minimized
	    	phi_ = task_objective_function(joint_msr_states_.q);

	    	// using the first step to compute jacobian of the tasks
	    	if (first_step_)
	    	{
	    		J_last_ = J_;
	    		phi_last_ = phi_;
	    		first_step_ = 0;
	    		return;
	    	}

	    	// computing the derivative of Jacobian J_dot(q) through numerical differentiation
	    	J_dot_.data = (J_.data - J_last_.data)/period.toSec();

	    	// computing forward kinematics
	    	fk_pos_solver_->JntToCart(joint_msr_states_.q,x_);

	    	if (Equal(x_,x_des_,0.05))
	    	{
	    		ROS_INFO("On target");
	    		cmd_flag_ = 0;
	    		return;	    		
	    	}

	    	// pushing x to the pose msg
	    	for (int i = 0; i < 3; i++)
	    		msg_pose_.data.push_back(x_.p(i));

	    	// setting marker parameters
	    	set_marker(x_,msg_id_);

	    	// computing end-effector position/orientation error w.r.t. desired frame
	    	x_err_ = diff(x_,x_des_);

	    	x_dot_ = J_.data*joint_msr_states_.qdot.data;    	

	    	// setting error reference
	    	for(int i = 0; i < e_ref_.size(); i++)
		    {
	    		// e = x_des_dotdot + Kd*(x_des_dot - x_dot) + Kp*(x_des - x)
	    		e_ref_(i) =  -Kd_(i)*(x_dot_(i)) + Kp_(i)*x_err_(i);
    			msg_err_.data.push_back(e_ref_(i));
	    	}

    		// computing b = J*M^-1*(c+g) - J_dot*q_dot
    		b_ = J_.data*M_inv_*(C_.data + G_.data) - J_dot_.data*joint_msr_states_.qdot.data;

	    	// computing omega = J*M^-1*N^T*J
	    	omega_ = J_.data*M_inv_*N_trans_*J_.data.transpose();

	    	// computing lambda = omega^-1
	    	pseudo_inverse(omega_,lambda_);
	    	//lambda_ = omega_.inverse();

	    	// computing nullspace
	    	N_trans_ = N_trans_ - J_.data.transpose()*lambda_*J_.data*M_inv_;  	    		

	    	// finally, computing the torque tau
	    	tau_.data = J_.data.transpose()*lambda_*(e_ref_ + b_) + N_trans_*(Eigen::Matrix<double,7,1>::Identity(7,1)*(phi_ - phi_last_)/(period.toSec()));

	    	// saving J_ and phi of the last iteration
	    	J_last_ = J_;
	    	phi_last_ = phi_;
	
    	}

    	// set controls for joints
    	for (int i = 0; i < joint_handles_.size(); i++)
    	{
    		if(cmd_flag_)
    			joint_handles_[i].setCommand(tau_(i));
    		else
       			joint_handles_[i].setCommand(PIDs_[i].computeCommand(joint_des_states_.q(i) - joint_msr_states_.q(i),period));
    	}

    	// publishing markers for visualization in rviz
    	pub_marker_.publish(msg_marker_);
    	msg_id_++;

	    // publishing error 
	    pub_error_.publish(msg_err_);
	    // publishing pose 
	    pub_pose_.publish(msg_pose_);
	    ros::spinOnce();

	}