In this paper, we propose a new concept of haptic exploration using a mobile manipulation system, which combines the mobility and manipulability of the robot with haptic feedback for user interaction. The system utili...
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ISBN:
(纸本)9781424468218;9781424468225
In this paper, we propose a new concept of haptic exploration using a mobile manipulation system, which combines the mobility and manipulability of the robot with haptic feedback for user interaction. The system utilizes and integrates heterogeneous robotic sensor readings to create a real-time spatial model of the environment, which in turn can be conveyed to the user to explore the haptically represented environment and spatially perceive the world without direct contact. The real-world values are transformed into an environmental model (an internal map) by the sensors, and the environmental model is used to create environmental feedback on the haptic device which interacts in the haptically augmented space. Through this multi-scale convergence of dynamic sensor data and haptic interaction, our goal is to enable real-time exploration of the world through remote interfaces without the use of predefined world models. In this paper, the system algorithms and platform are discussed, along with preliminary results to show the capabilities of the system.
Attention operators based on 2D image cues (such as color, texture) are well known and discussed extensively in the vision literature but are not ideally suited for robotic applications. In such contexts it is the 3D ...
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ISBN:
(纸本)9781424493197
Attention operators based on 2D image cues (such as color, texture) are well known and discussed extensively in the vision literature but are not ideally suited for robotic applications. In such contexts it is the 3D structure of scene elements that makes them interesting or not. We show how a bottom-up exploration mechanism that selects spaces of interest (SOIs) based on scene elements that pop out from planes is used within a larger architecture for a cognitive system. This mechanism simplifies the object localization as single plane detection, which is however not practical when dealing with real scenes that contains objects with complicated structures (e.g. objects in a multi-layer shelf). Therefore, the key work required for this situation is the multi-plane estimation, which is solved in this paper using Particle Swarm Optimization (PSO).
In this work, we consider an optimal control problem for Networked controlsystems (NCS), where the loop is closed via an unreliable network. In order to inform the controller about the fates of the control packets, t...
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ISBN:
(纸本)9781424474264
In this work, we consider an optimal control problem for Networked controlsystems (NCS), where the loop is closed via an unreliable network. In order to inform the controller about the fates of the control packets, the actuator sends acknowledgements to the controller. In this work, different types of acknowledgements are considered. Since all packets are send over a network, we consequently assume, that all packets can get lost, i.e. the measurement packets, the control packets as well as the acknowledgement packets. The loss of these packets is modeled by independent and identically distributed (iid) Bernoulli processes. Finally, we assume that the parameters of these loss processes are not known exactly. Using this setup, we derive bounds for the uncertainty in the loss rates. Moreover, we present an algorithm to design a sub-optimal controller which can tolerate a given amount of network uncertainties.
We address optimal placement of vehicles with simple motion, to intercept a mobile target that arrives stochastically on a line segment. The optimality of vehicle placement is measured through a cost function associat...
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In atomic force microscopy (AFM) the imaging speed is strongly limited by the bandwidth of the feedback loop that controls the interaction between the measurement tip and the sample. A significant increase in closed-l...
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The collective behavior of a multi-agent system is the macroscopic phenomenon, such as swarm intelligence, flocking, synchronization, pattern formation, etc. This paper addresses the problem of 'soft-control':...
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ISBN:
(纸本)9787894631046
The collective behavior of a multi-agent system is the macroscopic phenomenon, such as swarm intelligence, flocking, synchronization, pattern formation, etc. This paper addresses the problem of 'soft-control': how to coordinate the collective behavior of multi-agent systems where the interaction rules of the already-existing agents can not be re-designed. One possible way to is to add one or a few 'shills' which can be designed differently from the normal agent, but is treated as a normal agent by the other normal ones. As a case study, we propose a new strategy for the shill, called 'consistent moving', for the purpose of synchronization of the Vicsek's model. This strategy avoids the limitation of 'cheating heading' in previous work. The computer simulation shows that it is possible for a 'clever' shill with 'consistent moving' strategy can change the collective behavior of a group.
This paper presents an adaptive robust dynamic surface control (ARDSC) algorithm for the position control of DC torque motors which are modeled as third-order nonlinear systems with parametric and nonlinear uncertaint...
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ISBN:
(纸本)9781424474264
This paper presents an adaptive robust dynamic surface control (ARDSC) algorithm for the position control of DC torque motors which are modeled as third-order nonlinear systems with parametric and nonlinear uncertainties. Based on the dynamic surface control (DSC) approach, the "explosion of terms" problem in the normal adaptive robust control (ARC) is avoided, which enhances the practicability of the controller. Furthermore, besides theoretically proving that the tracking error is uniformly ultimate bounded or asymptotically converge to zero in presence of parametric uncertainties only, the true estimates of the unknown parameters are achieved by designing a novel adaptation law, which improves the system performance and can be used in system monitor and diagnosis on-line as byproducts. Finally, the comparative simulation results illustrate that the proposed algorithm is very effective.
We are extremely pleased to present this special issue of the Journal of control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adap...
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We are extremely pleased to present this special issue of the Journal of control Theory and *** dynamic programming (ADP) is a general and effective approach for solving optimal control and estimation problems by adapting to uncertain environments over *** optimizes the sensing objectives accrued over a future time interval with respect to an adaptive control law,conditioned on prior knowledge of the system,its state,and uncertainties.A numerical search over the present value of the control minimizes a Hamilton-Jacobi-Bellman (HJB) equation providing a basis for real-time,approximate optimal control.
In real-life, many practical applications involve agents that are nonlinear and nonholonomic. This paper investigates output synchronization of multiple mobile agents in a plane. The output synchronization of mobile a...
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