Research Article  Open Access
An Obstacle Avoidance Method for Action Support 7DOF Manipulators Using Impedance Control
Abstract
An obstacle avoidance method of action support 7DOF manipulators is proposed in this paper. The manipulators are controlled with impedance control to follow user's motions. 7DOF manipulators are able to avoid obstacles without changing the orbit of the endeffector because they have kinematic redundancy. A joint rate vector is used to change angular velocity of an arbitrary joint with kinematic redundancy. The priority of avoidance is introduced into the proposed method, so that avoidance motions precede follow motions when obstacles are close to the manipulators. The usefulness of the proposed method is demonstrated through obstacle avoidance simulations and experiments.
1. Introduction
The application of robot technology extends from the manufacturing industry to our homes. In particular, applied research on robot technology is widely carried out in the field of medical treatment and welfare, such as operation support robots and meal support robots. The authors focus on an action support manipulator which supports humans with poor muscle strength. One application of this manipulator is a meal support manipulator. The manipulator grasps a spoon, and a user attaches the hand to the spoon. The spoon moves to the desired direction according to the minute force applied by the user. Obstacle avoidance is necessary to use the manipulator safely under the environment where humans and other objects exist.
A 7DOF manipulator is used as an action support in this paper. 7DOF manipulators have kinematic redundancy. 7DOF manipulators are able to avoid obstacles without changing the position and the attitude of the endeffector by using their redundant degree of freedom. Various methods on obstacle avoidance for redundant manipulators are proposed in [1–6]. A joint rate vector [1, 2] is adopted to avoid obstacles in this paper.
Impedance control [7–10] is used to make the manipulator follow the user’s motion in this paper. Though the methods of impedance control for redundant manipulators are proposed in [7, 8], the obstacle avoidance is not handled. The methods of impedance control for redundant manipulators considering the obstacle avoidance are presented in [9, 10]. Though the manipulator avoids the obstacle while the endeffector follows the fixed reference path in [9, 10], cooperative works of manipulators and humans are not considered.
An obstacle avoidance method for redundant manipulators using impedance control is proposed in this paper. Priority of avoidance is introduced into the proposed method, so that avoidance motions precede follow motions when an obstacle is close to the manipulator. There are few papers on obstacle avoidance by using the joint rate vector for redundant manipulators which follows the human’s actions with impedance control. The validity of the proposed method is demonstrated through obstacle avoidance simulations and experiments.
2. Experimental Equipment
Figure 1 shows a manipulator used in this paper. This manipulator is the PA10AARM made by Mitsubishi Heavy Industries, Ltd. The manipulator has seven degrees of freedom and the transportable weight is 98 N. The joints are driven by AC servo motors with brushless resolvers. The manipulator moves to support a user (see Figure 2).
A force sensor is installed in the endeffector to measure forces and moments applied to the endeffector. The force sensor is the IFS67M25A50I40 made by Nitta Corp. The measurable maximum forces are 200 N on  and axis and 400 N on axis, and the measurable maximum moment is 13 Nm around ,  and axis.
The distance between obstacles and the manipulator may be measured with a distance sensor such as a PSD sensor, a laser sensor, an ultrasonic sensor, or a stereo camera. The distance is calculated under the situation that obstacles’ sizes and positions are known in this paper. This ideal situation is considered in experiment to evaluate the proposed method purely, because the experimental performance is too sensitive to the accuracy of the distance sensor.
The seven joint angles of the manipulator and the output of the force sensor are transmitted to a personal computer. The command calculated in the computer is sent to the manipulator. The sampling period is 10 ms.
3. Obstacle Avoidance Method
The manipulator is controlled with impedance control to follow user’s motions. Kinematic redundancy is used to avoid obstacles. Priority of avoidance is introduced to combine the follow motions and the avoidance motions.
3.1. Impedance Control
The motion equation of the manipulator is expressed as where is the joint angle vector; is the inertia matrix (hereafter denoted by ); is the nonlinear term due to the centrifugal and Coriolis force; is the gravitational term; is the joint torque vector; is the external force exerted to the endeffector; and is the Jacobian matrix (hereafter denoted by ).
The desired impedance of the endeffector is described by where , , and are the desired inertia, viscosity, and stiffness matrices of the endeffector, respectively; is the displacement vector of the endeffector, and is the desired one. These are given as follows: The position and the attitude of the endeffector are denoted by and , respectively. The moments , , and of are set to zero to keep the initial attitude of the endeffector in this method. The values of the impedance parameters, kg, kgm^{2}, Ns/m, Nms/rad, N/m, and Nm/rad are used in this paper. These values should be optimized for users in the future work.
Putting in (2) as the following equation is obtained: The torque vector satisfying (5) is given as follows: The desired displacement of the endeffector and its derivative is obtained from by solving (4) with the 4order RungeKutta method. The value of is calculated from by using the backward difference approximation. The endeffector follows the user’s hand by applying the torque in (6) to the manipulator. The desired displacement is generated in real time from the external force . This point is greatly different from other studies on impedance control for manipulators.
3.2. Obstacle Avoidance Using Kinematic Redundancy
The inverse kinematics equation of redundant manipulators is expressed as where is the pseudoinverse of is the projection operator which projects arbitrary joint rates into the nullspace of the endeffector’s Cartesian coordinates, and is an arbitrary joint rate vector. and are calculated by the method in [11]. The displacement vector of the endeffector is regulated by the impedance control to follow the external force . When an obstacle approaches the manipulator, the manipulator avoids the obstacle by using the joint rate vector .
In this paper, two virtual spheres are set in the 4th and the 5th joints (see Figure 3). The center of the virtual sphere is that of the joint. It is considered that these joints may collide against obstacles easily. The virtual sphere is shown in Figure 4. The inner sphere with the radius is an inelastic body and covers the joint of the manipulator. The purpose of the obstacle avoidance control is to avoid the collision between the inner sphere and obstacles. The outer sphere with the radius is an elastic body with a stiffness . When obstacles enter the outer sphere, a repulsive force is generated. The repulsive force is used to calculate the value of the joint rate vector .
A preliminary experiment was carried out to detect which element of is effective for the obstacle avoidance. When a value was given to the 1st or 3rd element, the attitude of the manipulator greatly changed. The 1st and 3rd elements, and , are therefore given values and the other elements are set to zero for the simplification of the problem. The values of and are calculated from where is a positive constant, is the radius of the inelastic sphere, is the radius of the elastic sphere, and is the distance between the nearest obstacle and the manipulator. In this paper, m, m, and rad/s. The value of or is shown in Figure 5. As the obstacle approaches the manipulator, the value of or increases and then the attitude of the manipulator changes to avoid the obstacle.
3.3. Priority of Avoidance
Since the avoidance motions may conflict with the follow motions, the priority of avoidance is introduced. The priority of avoidance means the weight between the follow motions generated by (6) and the avoidance motions caused by (7) and (8). The value of the priority of avoidance is greater when an obstacle is close to the manipulator. The priority of avoidance is defined as where is a positive constant, in this paper. The value of the priority is shown in Figure 6. According to the priority of avoidance , in (4) is calculated as where is the actual applied force measured with the force sensor. at ( < ) means that only the avoidance motions are carried out without the follow motions, and at () means that only the follow motions are carried out without the avoidance motions. When the manipulator is close to the obstacle, the avoidance motions should precede the follow motions for the safety. Otherwise, the manipulator should follow the user’s motion as much as possible. Therefore, an exponential function is used in (9), so that the value of rapidly increases as the value of approaches .
4. Simulation Model of Manipulator
A simulation model of the manipulator is constructed. The link parameters of the manipulator are shown in Figure 7, and the values of the link parameters and the moment of inertia of the links are shown in Tables 1 and 2, respectively. These values are calculated by measuring the manipulator.


The manipulator with the initial joint angle vector rad operates by giving some adequate reference path of the endeffector. The results are shown in Figures 8 and 9. These figures show the time history of the position of the endeffector, and the fine line and the bold one denote the simulation result and the experimental one, respectively. The simulation results coincide with the experimental ones. Though the details are omitted, the similar results are also obtained in other experimental situations. Therefore, this model is used in simulation.
5. Simulation Results of Obstacle Avoidance
The usefulness of the proposed method is demonstrated in simulation. Figure 10 shows the initial state of the obstacle avoidance simulation. The pink sphere denotes the inner virtual sphere with the radius . The initial joint angle vector rad and the actual applied force is shown in Figure 11. The obstacle is a sphere of 0.05 m radius and its center is located at m.
5.1. Obstacle Avoidance Using Kinematic Redundancy
The distance between the obstacle and the manipulator is shown in Figure 12, where only is calculated by (8) in Case 1 and both and are done in Case 2. The priority of avoidance is not used in both cases, that is, . The minimum value of in Case 2 is greater than that in Case 1. This means that Case 2 using both and is better than Case 1 using only from the viewpoint of obstacle avoidance. The manipulators in Cases 1 and 2 collide with the obstacle, since the distance is less than . The scenes in Cases 1 and 2 are shown in Figures 13 and 14, respectively. The collision that the obstacle enters the inner sphere is confirmed from the last scene in Figures 13 and 14.
5.2. Obstacle Avoidance Using Kinematic Redundancy and Priority of Avoidance
The priority of obstacle is used in Case 3, where both and are calculated by (8), since the result in Case 2 is better than that in Case 1. The distance in Case 3 is also shown in Figure 12. The value of is never less than . This means that there is no collision between the obstacle and the manipulator. The scenes in Case 3 are shown in Figure 15. No collision between the inner sphere and the obstacle is confirmed in Figure 15.
6. Experimental Results of Obstacle Avoidance
The validity of the proposed method is verified in the experiment. Figure 16 shows the initial state of obstacle avoidance experiment. The initial joint angle vector is the same as that in simulation. The obstacle is a square pole with 0.1 × 0.1 × 0.35 m and its center is located at the same point in simulation. An experimenter who is a healthy person applies the force to the endeffector in axis direction.
The applied force measured with the force sensor is plotted in Figure 17. The experimenter applies the vibrational force to the positive direction of axis, the right direction in Figure 16. The vibration may be reduced by adjusting the impedance parameters , , and in (3). The position of the 4th joint of the manipulator on axis and the distance are plotted in Figures 18 and 19, respectively. The 4th joint moves to the positive direction of axis according to the applied force until about 4 s which causes the value of to be small. When the value of is small or the 4th joint is close to the obstacle, the avoidance motion predominates. The 4th joint moves to the negative direction of axis from about 4 s to 6 s in Figure 18. This motion causes the increase of the value of in Figure 19. There is no collision between the manipulator and the obstacle, since during the experiment in Figure 19. The scenes of the experiment are shown in Figure 20. The follow motion and the avoidance motion are demonstrated.
7. Conclusions
In this paper, an obstacle avoidance method of action support 7DOF manipulators has been realized by using impedance control and kinematic redundancy of the manipulator. A joint rate vector has been used to avoid obstacles in the way of changing the posture of the manipulators. The joint rate vector has been calculated from the distance between obstacles and the manipulator. The concept of the priority of avoidance has been introduced, so that avoidance motions precede follow motions when obstacles are close to the manipulator. The usefulness of the proposed method has been demonstrated through obstacle avoidance simulations and experiments.
Conflict of Interests
The authors declare no conflict of interests.
References
 A. A. Maciejewski and C. A. Klein, “Obstacle avoidance for kinematically redundant manipulators in dynamically varying environments,” International Journal of Robotics Research, vol. 4, no. 3, pp. 109–117, 1985. View at: Google Scholar
 S. I. Choi and B. K. Kim, “Obstacle avoidance control for redundant manipulators using collidability measure,” Robotica, vol. 18, no. 2, pp. 143–151, 2000. View at: Publisher Site  Google Scholar
 F. Fahimi, H. Ashrafiuon, and C. Nataraj, “Obstacle avoidance for spatial hyperredundant manipulators using harmonic potential functions and the mode shape technique,” Journal of Robotic Systems, vol. 20, no. 1, pp. 23–33, 2003. View at: Publisher Site  Google Scholar
 Y. Zhang and J. Wang, “Obstacle avoidance for kinematically redundant manipulators using a dual neural network,” IEEE Transactions on Systems, Man, and Cybernetics B, vol. 34, no. 1, pp. 752–759, 2004. View at: Publisher Site  Google Scholar
 R. V. Patel, F. Shadpey, F. Ranjbaran, and J. Angeles, “A collisionavoidance scheme for redundant manipulators: theory and experiments,” Journal of Robotic Systems, vol. 22, no. 12, pp. 737–757, 2005. View at: Publisher Site  Google Scholar
 M. Duguleana, F. G. Barbuceanu, A. Teirelbar, and G. Mogan, “Obstacle avoidance of redundant manipulators using neural networks based reinforcement learning,” Robotics and ComputerIntegrated Manufacturing, vol. 28, no. 2, pp. 132–146, 2012. View at: Publisher Site  Google Scholar
 T. Tsuji, A. Jazidie, and M. Kaneko, “Multipoint impedance control for redundant manipulators,” IEEE Transactions on Systems, Man, and Cybernetics B, vol. 26, no. 5, pp. 707–718, 1996. View at: Publisher Site  Google Scholar
 C. Pholsiri, D. Rabindran, M. Pryor, and C. Kapoor, “Extended generalized impedance control for redundant manipulators,” in Proceedings of the 42nd IEEE Conference on Decision and Control, vol. 4, pp. 3331–3336, December 2003. View at: Google Scholar
 C.F. Liao and M. Donath, “Generalized impedance control of a redundant manipulator for handling tasks with position uncertainty while avoiding obstacles,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA '97), pp. 1073–1079, April 1997. View at: Google Scholar
 T. Tsuji and M. Kaneko, “Noncontact impedance control for redundant manipulators,” IEEE Transactions on Systems, Man, and Cybernetics A, vol. 29, no. 2, pp. 184–193, 1999. View at: Publisher Site  Google Scholar
 K. Koganezawa, “A fast singularityfree solution of inverse kinematics with dimensionally homogeneous jacobian for seriallink redundant manipulators,” in Proceedings of the 3rd ECPD International Conference on Advanced Robotics, Intelligent Automation and Active Systems, pp. 94–100, 1997. View at: Google Scholar
Copyright
Copyright © 2013 Masafumi Hamaguchi and Takao Taniguchi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.