209 research outputs found
Energy-saver mobile manipulator based on numerical methods
The work presents the kinematic and dynamic control of a mobile robotic manipulator
system based on numerical methods. The proposal also presents the curvature analysis of a path
not parameterized in time, for the optimization of energy consumption. The energy optimization
considers two aspects: the velocity of execution in curves and the amount of movements generated
by the robotic system. When a curve occurs on the predefined path, the execution velocity is
analyzed throughout the system in a unified method to prevent skid e ects from a ecting the mobile
manipulator, while the number of movements is limited by the redundancy presented by the robotic
system to optimize energy use. The experimental results are shown to validate the mechanical and
electronic construction of the system, the proposed controllers, and the saving of energy consumptionThis research was funded by Corporación Ecuatoriana para el Desarrollo de la Investigación y Academia–CEDI
A New Algorithm for Measuring and Optimizing the Manipulability Index
The estimation of the performance characteristics of robot manipulators is crucial in robot application and design. Furthermore, studying the manipulability index for every point within the workspace of any serial manipulator is considered an important problem. Such studies are required for designing trajectories to avoid singular configurations. In this article, a new method for measuring the manipulability index is proposed, and then some simulations are performed on different industrial manipulators such as the Puma 560 manipulator, a six DOF manipulator and the Mitsubishi Movemaster manipulator
Cooperative impedance control with time-varying stiffness
The focus of much automation research has been to design controllers and robots that safely interact with the environment. One approach is to use impedance control to specify a relationship between a robot\u27s motion and force and control a grasped object\u27s apparent stiffness, damping, and inertia. Conventional impedance control practices have focused on position-based manipulators - which are inherently non-compliant - using constant, task-dependent impedances. In the event of large trajectory tracking errors, this implementation method generates large interaction forces that can damage the workcell. Additionally, these position-based devices require dedicated force/torque sensors to measure and apply forces. In this paper, we present an alternative impedance controller implemented on cooperating torque-based manipulators. Through the use of time-varying impedance parameters, this controller limits the interaction forces to ensure harmless manipulation. Successful completion of transport and insertion tasks demonstrated the effectiveness of the controller
Safety-related Tasks within the Set-Based Task-Priority Inverse Kinematics Framework
In this paper we present a framework that allows the motion control of a
robotic arm automatically handling different kinds of safety-related tasks. The
developed controller is based on a Task-Priority Inverse Kinematics algorithm
that allows the manipulator's motion while respecting constraints defined
either in the joint or in the operational space in the form of equality-based
or set-based tasks. This gives the possibility to define, among the others,
tasks as joint-limits, obstacle avoidance or limiting the workspace in the
operational space. Additionally, an algorithm for the real-time computation of
the minimum distance between the manipulator and other objects in the
environment using depth measurements has been implemented, effectively allowing
obstacle avoidance tasks. Experiments with a Jaco manipulator, operating in
an environment where an RGB-D sensor is used for the obstacles detection, show
the effectiveness of the developed system
Parallel Manipulators
In recent years, parallel kinematics mechanisms have attracted a lot of attention from the academic and industrial communities due to potential applications not only as robot manipulators but also as machine tools. Generally, the criteria used to compare the performance of traditional serial robots and parallel robots are the workspace, the ratio between the payload and the robot mass, accuracy, and dynamic behaviour. In addition to the reduced coupling effect between joints, parallel robots bring the benefits of much higher payload-robot mass ratios, superior accuracy and greater stiffness; qualities which lead to better dynamic performance. The main drawback with parallel robots is the relatively small workspace. A great deal of research on parallel robots has been carried out worldwide, and a large number of parallel mechanism systems have been built for various applications, such as remote handling, machine tools, medical robots, simulators, micro-robots, and humanoid robots. This book opens a window to exceptional research and development work on parallel mechanisms contributed by authors from around the world. Through this window the reader can get a good view of current parallel robot research and applications
An Overview of Formulae for the Higher-Order Kinematics of Lower-Pair Chains with Applications in Robotics and Mechanism Theory
The motions of mechanisms can be described in terms of screw coordinates by
means of an exponential mapping. The product of exponentials (POE) describes
the configuration of a chain of bodies connected by lower pair joints. The
kinematics is thus given in terms of joint screws. The POE serves to express
loop constraints for mechanisms as well as the forward kinematics of serial
manipulators. Besides the compact formulations, the POE gives rise to purely
algebraic relations for derivatives wrt. joint variables. It is known that the
partial derivatives of the instantaneous joint screws (columns of the geometric
Jacobian) are determined by Lie brackets the joint screws. Lesser-known is that
derivative of arbitrary order can be compactly expressed by Lie brackets. This
has significance for higher-order forward/inverse kinematics and dynamics of
robots and multibody systems. Various relations were reported but are scattered
in the literature and insufficiently recognized. This paper aims to provide a
comprehensive overview of the relevant relations. Its original contributions
are closed form and recursive relations for higher-order derivatives and Taylor
expansions of various kinematic relations. Their application to kinematic
control and dynamics of robotic manipulators and multibody systems is
discussed
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