Deformable linear objects (DLOs) such as cables, hoses and wires are widely used in the real life, electric industries and medical operations. In this paper, we propose a new approach to simulate manipulating DLOs in ...
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A quantum-inspired Q-learning (QIQL) algorithm is proposed for indoor robot navigation control. Q- learning is an action-dependent reinforcement learning method and has been widely used in robot navigation. Inspired b...
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A quantum-inspired Q-learning (QIQL) algorithm is proposed for indoor robot navigation control. Q- learning is an action-dependent reinforcement learning method and has been widely used in robot navigation. Inspired by the fundamental characteristics of quantum computation, e.g. state superposition principle and quantum parallel computation, probability is introduced to Q-learning and along with the learning process the probability of each action to be selected at a certain state is updated, which leads to a natural exploration strategy instead of a pointed one with configured parameters. The simulated navigation experiments show that the proposed QIQL algorithm keeps a good balance of exploration and exploitation, which can avoid the local optimal policies and accelerate the learning process as well.
In this paper simple techniques based on nonlinear geometric transformations are presented for creating an effective 3D impression (stereovision or illusion of depth) from a single 2D original. Our aim is to propose s...
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In this paper simple techniques based on nonlinear geometric transformations are presented for creating an effective 3D impression (stereovision or illusion of depth) from a single 2D original. Our aim is to propose semi-automatic ways to transform 2D images into their suggestive but plausible 3D anaglyph versions. Three conversion methods based on a binary depth map are proposed and the influence of various RGB component shifts on the 3D impression quality is studied.
In this paper, a class of hybrid impulsive systems with time delays and stochastic effects are considered. We obtain some criteria on the global exponential stability in mean square for the impulsive stochastic delaye...
In this paper, a class of hybrid impulsive systems with time delays and stochastic effects are considered. We obtain some criteria on the global exponential stability in mean square for the impulsive stochastic delayed systems. To do this, differential inequalities and ℒ-operator inequalities are developed. An example is given to illustrate the effectiveness of our results.
A three-wheeled omni-directional cane robot is designed for aiding the elderly walking. Possible move modes are analyzed and a corresponding hybrid model is constructed to describe walking behavior. A concept called i...
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A three-wheeled omni-directional cane robot is designed for aiding the elderly walking. Possible move modes are analyzed and a corresponding hybrid model is constructed to describe walking behavior. A concept called intentional direction is presented to denote the moving intention of a human. Based on experiments and some assumptions, dynamic model of intentional direction is obtained as well as its online estimation method. A new admittance control scheme is presented based on intentional direction, which provides natural and intuitive human machine interface. Experiment results show the effectiveness of the design.
Deformable linear objects (DLOs) such as cables, hoses and wires are widely used in the real life, electric industries and medical operations. In this paper, we propose a new approach to simulate manipulating DLOs in ...
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Deformable linear objects (DLOs) such as cables, hoses and wires are widely used in the real life, electric industries and medical operations. In this paper, we propose a new approach to simulate manipulating DLOs in the robotic assembly. The dynamic 2D deformation of an inextensible linear object is formulated using FEM approach. Based on the model, simulation can be efficiently implemented by matrix computation and numerical solvers for differential equations. The proposed method provides faster computation speed than methods based on differential geometry coordinate systems. Some simulation examples are illustrated to confirm the effectiveness of our methods.
We consider the output feedback stabilizability of networked controlsystems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback c...
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We consider the output feedback stabilizability of networked controlsystems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback controllers by resolving some linear matrix inequalities. Moreover, two types of packet-loss processes are discussed: one is the arbitrary packet-loss process, and the other is the Markovian packet-loss process. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design technique.
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