Authors:
Noah J. Cowan,
Gabriel A.D. Lopes,
Daniel E. Koditschek,
Volume: 1, Page 3920 Paper number 1963
Abstract:
Visual servo controllers in the literature rarely achieve provably
large domains of attraction, and seldom address two important sensor
limitations: (i) susceptibility to self-occlusions and (ii) finite
field of view (FOV). In this paper, we tackle the problem of global,
occlusion-free visual servoing of a fully actuated rigid body by recourse
to navigation functions on a compact manifold which encode these restrictions
as control obstacles. For occlusion free rigid body servoing, the manifold
of interest is the "visible" set of rigid body configurations, that
is, those for which the feature points are within the field of view
and unoccluded by the body. For a set of coplanar feature points on
one face of a convex polyhedron, we show that a slightly conservative
subset of the visible set has a simple topology amenable to analytical
construction of a navigation function. We construct the controller
via a closed form coordinate transformation from our problem domain
into the topological model space and conclude with simulation results.
Authors:
Koichi Hashimoto,
Toshiro Noritsugu,
Volume: 1, Page 3927 Paper number 1584
Abstract:
This paper proposes a potential switching scheme that enlarge stable
region of feature-based visual servoing. Potential is defined as the
norm of image feature error and stable region is a downward convex
region of the potential surface that includes reference position. The
proposed scheme generates relay images that interpolate initial and
reference image features and artificial potential is defined by using
relay images. The artificial potentials are patched around the reference
point of the original potential to enlarge the stable region. Simulations
with simplified configuration and experiments on a 6 DOF robot show
the validity of the proposed control scheme.
Authors:
Tarek Hamel,
Robert Mahony,
Volume: 1, Page 3933 Paper number 1662
Abstract:
A new image-based control strategy for visual servoing is presented.
The proposed control design addresses visual servoing of `eye-in-hand'
type systems and treats the camera motion as rigid-body dynamics that
are positioned relative to an observed visual target. The proposed
design is applicable to a class of under-actuated dynamic systems that
include idealized models of mobile robotic vehicles such as helicopters,
aeroplanes, etc. The proposed design is motivated by a theoretical
analysis of the dynamic equations of motion of an under-actuated rigid
body and exploits passivity-like properties of these dynamics to derive
a Lyapunov control algorithm using robust backstepping techniques.
Authors:
Chien Chern Cheah,
Kai Lee,
Sadao Kawamura,
Suguru Arimoto,
Volume: 1, Page 3939 Paper number 1014
Abstract:
In order to describe a task for the robot manipulator, a desired path
for the end effector is usually specified in task space such as Cartesian
space. In the presence of uncertainty in kinematics, it is impossible
to derive the desired joint angle from the desired end effector path
by solving the inverse kinematics problem. In addition, the Jacobian
matrix of the mapping from joint space to task space could not be exactly
derived. In this paper, we present feedback control laws for setpoint
control of robot with uncertain kinematics and Jacobian matrix from
joint space to task space. Sufficient conditions for the bound of the
estimated Jacobian matrix and stability conditions for the feedback
gains are presented to guarantee the stability of the robot's motion.
Simulation results are presented to illustrate the performance of the
proposed controllers.
Authors:
Masayuki Fujita,
Akira Maruyama,
Manabu Watanabe,
Hiroyuki Kawai,
Volume: 1, Page 3945 Paper number 1443
Abstract:
This paper deals with an inverse optimal H-infinity disturbance attenuation
for the planar manipulators with the eye-in-hand system. The input-to-state
stability control Lyapunov function (ISS-CLF) is constructed the full
Lagrangian dynamics based on a potential unction of the image feature
parameter space. The ISS-CLF gives us an inverse optimal H-infinity
control law. A proposed controller solves the inverse optimal H-infinity
control problem by minimizing a cost functional, and the closed-loop
system with the proposed controller is input-to-state stable. Further,
we discuss that the inverse optimal H-infinity controller has robustness
against input uncertainties.
Authors:
Fabio Conticelli,
Benedetto Allotta,
Volume: 1, Page 3951 Paper number 1587
Abstract:
In this paper, a nonlinear adaptive visual feedback scheme is designed
to perform 3-D positioning tasks, i.e. the regulation of the relative
pose between a robotic camera and a rigid object of interest. The dynamical
system of robotic camera-object interaction is expressed in terms of
image features, i.e. 2-D points track-able in the image plane. Since
visual sampling period is not negligible at the current state of technology,
a discrete-time representation of the camera-object interacton model
is first derived. By exploiting nonlinear controllability properties,
a discrete-time control law is designed based on Lyapunov's direct
method, which ensures asymptotic stability of the image reference set-point.
Moreover, a 3-D adaptation procedure, in case of unknown object depth,
ensures ultimate boundedness of the whole state vector.
Authors:
Enrico Canuto,
Volume: 1, Page 3957 Paper number 1343
Abstract:
The paper presents control design and results of a distance stabilization
experiment aiming at picometer repeatability. The experiment, called
COSI, was funded by European Space Agency in view of space telescopes
needing picoradian precision. Stabilization is achieved by actively
controlling the optical length of in vacuum Fabry-Perot interferometers.
Experiments stabilized three 0.5m distances between two 7kg plates
with a repeatability better than 3pm (RMS), in presence of severe environment
noise and artificial micrometer displacements, thus demonstrating feasibility
of COSI concept and technology.
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