Haptic feedback can be classified as a branch of robotic force (compliant) control (computation) area. In the traditional force control areas, the objective is to regulate the desired contact force between a robotic a...
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ISBN:
(纸本)0780372034
Haptic feedback can be classified as a branch of robotic force (compliant) control (computation) area. In the traditional force control areas, the objective is to regulate the desired contact force between a robotic agent an environment through design of a control law which has some model of the compliance embedded into it. For the haptic feedback environment, the user interacts with the graphical environment through a robotic device (force-feedback mechanism). The feedback force at the hand of the user is generated through computational model of how the virtual object reacts to the input from the user when it is penetrating the model of an environment. There are a number of computational elements involve in creating a haptic environment. This paper concerns with haptic rendering which Is a complementary module to the graphical rendering of the virtual scene. Haptic rendering Is the computation of the reaction forces and deformation as a function of the geometrical interaction of the user with the environment. This paper presents an overview of a number of approaches, which has been used to model the environment and presents a new computationally efficient approach for modeling compliance of the environment.
作者:
Böhlen, MarcSchool of Art
The Robotics Institute Carnegie Mellon University PittsburghPA United States
Typically, the animal world has been used conceptually by roboticists as a source of inspiration for finding new approaches to efficient locomotion, perception and intelligent control [Brooks91], [Hallam, Walker93], [...
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For fast-motion industrial robots, the limits of the velocity and the acceleration vary over the whole work-space. To make industrial robots move with fully high velocity and high acceleration along the specified traj...
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A power-assist exoskeleton robot, which is directly attached to the user's body and assist the motion in accordance with the user's intension, is one of the most effective human assist robots for the physicall...
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ISBN:
(纸本)9781424407897
A power-assist exoskeleton robot, which is directly attached to the user's body and assist the motion in accordance with the user's intension, is one of the most effective human assist robots for the physically weak persons. Many studies on power-assist robots have been carried out to help the motion of physically weak persons such as disabled, injured, and/or elderly persons. EMG-based control (i.e., control based on the skin surface electromyogram (EMG) signals of the user) is one of the most effective control methods for the power-assist robots, since EMG signals of user's muscles directly reflect the user's motion intension. However, the EMG-based control is not easy to be realized because of many reasons. The paper presents an effective human motion prediction method from the EMG signals using a neuro-fuzzy technique for the control of power-assist exoskeleton robots.
The Beowulf cluster approach to parallel computation offers a potentially cheap and robust source of computational power for high complexity algorithms in robotics. The challenge is to integrate this approach with the...
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ISBN:
(纸本)9781424407897
The Beowulf cluster approach to parallel computation offers a potentially cheap and robust source of computational power for high complexity algorithms in robotics. The challenge is to integrate this approach with the mobility and time critical response constraints of many robotic algorithms. The key contributions of this paper are: (1) introduction of a computational architecture for integrating a cluster into the control architecture of one or more robots, (2) a cluster implementation of Thrun et al's Concurrent Localization and Mapping (CML) algorithm, and (3) presentation of results to illustrate the performance of the implemented CML algorithm and validate the architectural approach.
Biological and cognitive systems have the capability of developing new goals during phylogenesis of species or during ontogenesis of single individuals. On the other hand, current artificial cognitive systems focus on...
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It is very difficult to design the learning structure of a robot beforehand in an unknown and dynamic environment, because the dynamics of the environment is unknown. Therefore, this paper proposes a fuzzy spiking neu...
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As a result of the increasing miniaturization of electronic circuitry and the corresponding increase in computational power of embedded systems, the point has been reached where it is possible to integrate electronics...
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Mobile robots can use geometric or topological maps of their environment to navigate reliably. Automatic creation of such maps is still an unrealized goal, especially in environments that have large cyclical structure...
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Based on the analysis of unknown environment for mobile robot, a robot safety body, sensing body and logic body are put forward with the robot physical body together. An open fuzzy behavior-based control architecture ...
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