The Robotics Toolbox provides many
functions that are useful in robotics such as
kinematics, dynamics, and trajectory
generation. The Toolbox is useful for
simulation as well as analyzing results from
experiments with real Robots.
This paper presents a visual based localization
mechanism for a legged robot. Our proposal, fundamented
on a probabilistic approach, uses a precompiled topological
map where natural landmarks like doors or ceiling lights
are recognized by the robot using its on-board camera.
Experiments have been conducted using the AIBO Sony
robotic dog showing that it is able to deal with noisy sensors
like vision and to approximate world models representing
indoor ofce environments. The two major contributions of
this work are the use of this technique in legged Robots, and
the use of an active camera as the main sensor
VIP+ is support software for YAMAHA RCX series robot controllers. In addition to the functions
of the previously released "VIP Windows" software, VIP+ includes an easy-to-use GUI (graphical
user interface). VIP+ also allows control by 2 or more controllers or access to a controller from
2 or more clients via Ethernet connection.
● With VIP+ you can:
? Do offline editing of all data used on robot controllers
? Operate and monitor Robots connected to robot controllers
? Do online editing of all data used with robot controllers
? Back up and restore robot controller data
● Functions and features newly added to VIP+:
? Ethernet connection to controllers
? Supports data input in spreadsheet software format
? Seamless backup and restoring of controller information such as point data
? Syntax coloring
? Data transfer between the online controller and an offline document by drag & drop
? Executes online commands using a terminal window
? Controller tree and document tree functions similar to Windows Explorer
obot control, a subject aimed at making Robots behave as desired, has been
extensively developed for more than two decades. Among many books being
published on this subject, a common feature is to treat a robot as a single
system that is to be controlled by a variety of control algorithms depending on
different scenarios and control objectives. However, when a robot becomes more
complex and its degrees of freedom of motion increase substantially, the needed
control computation can easily go beyond the scope a modern computer can
handle within a pre-specified sampling period. A solution is to base the control
on subsystem dynamics.
Over the past few decades there has been an exponential growth in service Robots
and smart home technologies, which has led to the development of exciting new
products in our daily lives. Service Robots can be used to provide domestic aid for
the elderly and disabled, serving various functions ranging from cleaning to enter-
tainment. Service Robots are divided by functions, such as personal Robots, field
Robots, security Robots, healthcare Robots, medical Robots, rehabilitation Robots and
entertainment Robots. A smart home appears “intelligent” because its embedded
computers can monitor so many aspects of the daily lives of householders. For
example, the refrigerator may be able to monitor its contents, suggest healthy alter-
natives and order groceries. Also, the smart home system may be able to clean the
house and water the plants.
This book introduces students to the theory and practice of control systems engineer-
ing. The text emphasizes the practical application of the subject to the analysis and
design of feedback systems.
The study of control systems engineering is essential for students pursuing
degrees in electrical, mechanical, aerospace, biomedical, or chemical engineering.
Control systems are found in a broad range of applications within these disciplines,
from aircraft and spacecraft to Robots and process control systems.
In this book for the optimisation of assembly conveyor lines we are dealing with series part production
featured by a medium complexity degree and a medium number of individual components and assembly
technique alternatives. Modern production techniques for medium to large series products or mass
production usually involve assembly conveyor lines. They still use hand labour more or less automated.
The aim is to have monotonous and similar in type operations or such causing fatigue, stress and
production traumas, gradually replaced by automated assembly cycles, means and techniques. This
usually widely involves industrial Robots and handlers. Higher productivity, lower cost and higher quality
of assembled products are usually required.
A kinematically redundant manipulator is a serial robotic arm that has more
independently driven joints than are necessary to define the desired pose (position
and orientation) of its end-effector. With this definition, any planar manipulator (a
manipulator whose end-effector motion is restrained in a plane) with more than
three joints is a redundant manipulator. Also, a manipulator whose end-effector can
accept aspatialposeisaredundant manipulator ifithas morethan sixindependently
driven joints. For example, the manipulator shown in Fig. 1.1 has two 7-DOF arms
mounted on a torso with three degrees of freedom (DOFs). This provides 10 DOFs
for each arm. Since the end-effector of each arm can have a spatial motion with six
DOFs, the arms are redundant.
