Haptic Telemanipulation with Dissimilar Kinematics
Angelika Peer, Bartlomiej Stanczyk, and Martin Buss
Institute of Automatic Control Engineering
Technische Universit¨ at M¨ unchen
D-80290 M¨ unchen, Germany
{Angelika.Peer, stanczyk, mb}@tum.de
Abstract— This work addresses some practical issues re-
garding development of a telerobotic system for 6 degrees of
freedom (DoF) tasks. The system consists of a hyper redundant
haptic input device ViSHaRD10, a redundant 7DoF manipulator
and a stereo vision system. The redundancy of the devices is
exploited to assure large convex workspace and singularity-free
operation. The anthropomorphic construction of the telemanip-
ulator enables intuitive manipulation and increases the ”user-
friendliness” of the overall system. As a practical benchmark an
assembly experiment in 6DoF for a case of a negligible time delay
was successfully performed. Issues regarding inverse kinematics,
spatial interaction control, transparency, and intuitiveness of
teleoperation are discussed.
Index Terms— Teleoperation, Haptic Exploration, Redun-
dancy, Compliant Control
I. I NTRODUCTION
In teleoperation (TO) scenarios tasks are performed by a
mechanical manipulator (slave) controlled remotely by a hu-
man operator provided with a force reflecting interface (haptic
interface or master), which enables the interaction with the
remote environment, see Fig.1. In general, the kinematic
Feedback
Feedback
Visual
Feedback
Auditory Stereo
Camera
Head
e.g.
Internet
Barrier
Command Signal
Information
Sensor
Haptic/
7DoF Arm
Tactile
Fig. 1. Teleoperation robotic system
structure of both manipulators are different. That is why both
devices need to be equipped with an universal kinematic
interface, independent from the device structure. There are
relatively few works addressing this subject directly. Existing
teleoperation systems still exhibit limitations of several kinds.
Even without a deep analysis, one can see that in most
cases, the functionality is limited to a few DoFs [1] and/or
their workspace is relatively small, so that the full spatial
immersion is not achieved. Moreover, due to the unmatched
workspace of the two coupled manipulators, indexing or shift-
ing techniques are used [1], which is unnatural and fatiguing
to the operator. The resulting system is neither transparent nor
intuitive to the user, and is not acceptable in TO scenarios.
As a principal criterium, the ability of reproducing the human
motion is considered. A large, convex workspace and the
ability to operate in unmodeled environments are crucial
requirements for the transparent teleoperation.
In the following, we present a teleoperation system of
superior performance, with six degrees of freedom, and
human sized, singularity free workspace. The main focus of
the paper is the development of compliant control strategies
and singularity robust kinematic transformations. Sections II
and III present the control of a 10 DoF haptic input device
and a 7 DoF telemanipulator respectively. The teleoperation
experiments are described in section IV. Section V concludes
with final remarks and comments on the future research.
II. CONTROL OF THE HAPTIC INTERFACE
A. General control scheme
The haptic simulation of a human’s bilateral interaction
with a remote environment requires the control of the motion-
force
1
relation between operator and robot. This can be
achieved by either controlling the interaction force of the
device with the operator (impedance display mode) or the
device motion (admittance display mode).
Admittance control is particularly well suited for robots
with hard non-linearities and large dynamic properties com-
pared to the environment being emulated. In this display
mode forces are measured and motion is commanded, i. e.
the robot acts as admittance and the human as impedance.
Accordingly, a force sensor is required for admittance control.
Contrary to haptic displays driven in the impedance mode
all admittance control implementations aim at forming the
closed-loop inertia. The high gain inner control loop closed
on motion allows for an effective elimination of nonlinear
device dynamics as for instance friction. It is thus possible to
render an isotropic closed-loop dynamic behavior in order to
provide the operator a more ”natural feeling”. The drawbacks
are a reduced capability for the display of low impedances
and a decreased closed-loop bandwidth of the force feedback.
A more detailed analysis of haptic control schemes is given
in [2].
In order to provide an effective compensation of distur-
bances due to friction and to be able to render inertia and mass
admittance control is implemented as illustrated in Fig. 2.
1
Throughout the paper force stands for both, linear force and torque, while
motion in terms of a generalization of position, velocity, and acceleration
refers to both, translational and angular motion quantities.
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2005 IEEE/RSJ International Conference on Intelligent Robots and Systems