Game environments provide a good domain for serious simulations such as those used in training Navy conning officers. Currently, a typical training scenario requires multiple personnel to play each of the boats and th...
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ISBN:
(纸本)1424404649
Game environments provide a good domain for serious simulations such as those used in training Navy conning officers. Currently, a typical training scenario requires multiple personnel to play each of the boats and thus is expensive. We propose an approach to addressing this issue by developing intelligent, autonomous controllers for each boat. Significant challenges toward achieving these goals are the realism of behavior exhibited by the automated boats and their real-time response to change. In this paper we describe a control architecture that enables the real-time response of boats and the repertoire of realistic behaviors we developed for this application. We demonstrate the capabilities of our system with experimental results.
Basic processes for nanorobotic manipulation of carbon nanotubes (CNTs) inside a transmission electron microscope are investigated experimentally. These processes are fundamental for the characterization of nanoscale ...
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Game environments provide a good domain for serious simulations such as those used in training navy conning officers. Currently, a typical training scenario requires multiple personnel to play each of the boats and th...
详细信息
Game environments provide a good domain for serious simulations such as those used in training navy conning officers. Currently, a typical training scenario requires multiple personnel to play each of the boats and thus is expensive. We propose an approach to addressing this issue by developing intelligent, autonomous controllers for each boat. Significant challenges toward achieving these goals are the realism of behavior exhibited by the automated boats and their realtime response to change. In this paper we describe a control architecture that enables the real-time response of boats and the repertoire of realistic behaviors we developed for this application. We demonstrate the capabilities of our system with experimental results
The goal of our research is to develop a high-level controller to provide reference trajectories automatically to the low-level controller of a rehabilitation robotic device. The high-level controller, which is the su...
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The goal of our research is to develop a high-level controller to provide reference trajectories automatically to the low-level controller of a rehabilitation robotic device. The high-level controller, which is the supervisory controller, is an event driven, asynchronous discrete event system (DES), described by a finite state automaton. Extensive simulations are performed using the supervisory controller for a rehabilitation task. The results demonstrate the feasibility of the proposed supervisory controller
A biologically-inspired approach is proposed for the coordination of a vast number of "cellular actuators." Each cellular actuator has a decision-making unit that changes the transition probability depending...
A biologically-inspired approach is proposed for the coordination of a vast number of "cellular actuators." Each cellular actuator has a decision-making unit that changes the transition probability depending on the broadcasted control signal from a centralized feedback controller. Although there is no deterministic coordination among the vast number of cellular actuator, the sum of the displacements of the cellular actuators can track a desired trajectory. We propose a design of transition probability that guarantees the convergence of the expectation of this ensemble. We show that broadcast signal needs to contain the positioning error but other information is unnecessary, and robustness against failure is guaranteed for any percentage of inactive (dead) cells. A MEMS-PZT cellular actuator with strain amplifying mechanism is also presented
Basic processes for nanorobotic manipulation of carbon nanotubes (CNTs) inside a transmission electron microscope are investigated experimentally. These processes are fundamental for the characterization of nanoscale ...
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Basic processes for nanorobotic manipulation of carbon nanotubes (CNTs) inside a transmission electron microscope are investigated experimentally. These processes are fundamental for the characterization of nanoscale materials, for the structuring of nanosized building blocks, and for the prototyping of nanoelectromechanical systems. Multi-walled CNTs, bamboo-structured CNTs, Cutipped CNTs, and quantum dots attached to CNTs have been used as test structures for manipulation.
In our last homework, we solved large sparse systems of linear equations andlearned that to keep storage and computational costs low, it's very important to exploit structurein our matrix. We exploited sparsity; i...
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In our last homework, we solved large sparse systems of linear equations andlearned that to keep storage and computational costs low, it's very important to exploit structurein our matrix. We exploited sparsity; in this homework, we'll consider a set of problems that havean additional type of structure.
This paper presents a novel control strategy based on a non-smooth Lyapunov function to guarantee the stability of the system in the whole motion space. Three control laws that are derived based on three Lyapunov func...
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This paper presents a novel control strategy based on a non-smooth Lyapunov function to guarantee the stability of the system in the whole motion space. Three control laws that are derived based on three Lyapunov functions are applied successively in three stages of motion control to achieve a suitable posture and increase the energy so as to make the acrobot move into the area around the unstable inverted equilibrium position, and to stabilize it at that position. These three Lyapunov functions are combined into one non-smooth function, which theoretically guarantees the stability of the acrobot in the whole motion space. Simulation results have demonstrated the validity of this strategy
This paper provides an update to the January 2006 letter on "ambient intelligence", describing this year's achievements and the latest demonstration systems. The Ambient Intelligence Project (also known ...
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This paper provides an update to the January 2006 letter on "ambient intelligence", describing this year's achievements and the latest demonstration systems. The Ambient Intelligence Project (also known by the code name project Mushroom) aims to bridge the boundaries between technological fields and thus cover the entire field of communication science.
In this article, we present a neurobiologically inspired multinetwork architecture based on knowledge of cortico-cortical connectivity and its application on an anthropomorphic head-arm-hand robotic system to provide ...
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In this article, we present a neurobiologically inspired multinetwork architecture based on knowledge of cortico-cortical connectivity and its application on an anthropomorphic head-arm-hand robotic system to provide reach-and-grasp kinematics based on multimodal sensorimotor learning. The system incorporates artificial neural network modules (matching units) trained by the locally weighted projection regression (LWPR) algorithm that enables progressive learning from simple to more complex sensorimotor tasks. We report the actual performance of the system by comparing the simulation with the experimental results obtained by the implementation on the real world artefact
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