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Complex mechatronic systems with a number of independently driven elements generally employ an equal number of drive elements. Commonly, these systems are actuated by electric motors and hence electric energy is transmitted through them. In various systems, however, mechanical energy may be distributed through the system instead of electrical energy and may be used directly to drive output elements...
Teleoperation has a long history in the robotics community and numerous bilateral teleoperation systems employing manipulators have been proposed in the literature. On the one hand, systems have been designed which employ commercial hardware and hence generally suffer from low update rates and high delays due to restrictions of commercial manipulator controllers and haptic device controllers. On the...
In bilateral teleoperation, the operator experiences forces and torques applied to the slave manipulator. These forces and torques, however, consist of two components: on the one hand, forces and torques due to contacts with the environment, and on the other hand, non-contact forces, i.e., inertial forces, centrifugal forces, Coriolis forces, and associated torques. For several reasons, eliminating...
This paper introduces a parallelized variant of the Random Sample Matching (RANSAM) approach, which is a very time and memory efficient enhancement of the common Random Sample Consensus (RANSAC). RANSAM exploits the theory of the birthday attack whose mathematical background is known from cryptography. The RANSAM technique can be applied to various fields of application such as mobile robotics, computer...
The estimation of the ten inertial parameters of rigid loads, which are attached to manipulators, may benefit several robotics applications, e.g.: force control, object recognition, and pose estimation. These applications require sufficiently accurate, robust, and fast estimation of the inertial parameters. Existing approaches, however, do not allow for robust on-line estimation, since they use standard...
The potential of six-axis acceleration sensors in the field of robotic manipulation applications is quite high and most of it has not been used yet - neither in theoretic literature nor in research experiments. When considering six-joint industrial manipulators with six-axis force/torque and six-axis acceleration sensing, many new possibilities arise: all ten inertial parameters of any object can...
Regarding manipulators with wrist-mounted force/torque sensors a major issue is the high execution time of force-guided and force-guarded motions compared to purely position-controlled tasks. An important factor that aggravates the reduction of the execution time is the influence of non-contact forces, e.g. inertial forces, centrifugal forces, Coriolis forces, and associated torques, which are exerted...
This paper proposes an object recognition and gripping pose estimation approach based on on-line estimation of the complete set of inertial parameters, i.e. the mass, the coordinates of the center of mass, and the elements of the inertia matrix, of an object gripped by or attached to a manipulator. A multi-sensor fusion approach combining 6D force/torque, 6D acceleration, 3D angular velocity, and...
This paper focusses on sensor fusion in robotic manipulation: 6D force/torque signals and 6D acceleration signals are used to extract forces and torques caused by inertia. As result, only forces and torques established by environmental contact(s) remain. Beside an improvement of hybrid force/pose control behavior, an additional major benefit is that regular resetting/zeroing of force/torque sensors...
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