In this paper, I discuss the market for adaptive robots in the entertainment industry, and some of the most promising avenues for the future development of this field. A United Nations report forecast an impressive 80...
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This paper describes our research efforts aimed at understanding human being walking functions. Using motion capture system, force plates and distributed force sensors, both human being and humanoid H7 walk motion wer...
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ISBN:
(纸本)0780378660
This paper describes our research efforts aimed at understanding human being walking functions. Using motion capture system, force plates and distributed force sensors, both human being and humanoid H7 walk motion were captured. Experimental results are shown. Comparison in between human being with H7 walk in following points are discussed : 1) ZMP trajectories, 2) torso movement, 3) free leg trajectories, 4) joint angle usage, 5) joint torque usage. Furthermore, application to the humanoid robot is discussed.
The paper deals with the calibration of industrial robots, a very important issue in robotics. A methodology to improve the accuracy obtained by classical parametric methodologies is proposed. The method is based on t...
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ISBN:
(纸本)0780378660
The paper deals with the calibration of industrial robots, a very important issue in robotics. A methodology to improve the accuracy obtained by classical parametric methodologies is proposed. The method is based on the application of a neural network together with a classical parametric model of the robot kinematic. Due to this combination of methodologies the approach could be defined as "hybrid neuro-parametric method". Experimental results prove an improvement in the robot accuracy.
This paper presents a new behavior-based architecture for a mobile robot. The architecture coordinates behaviors based on a robot's internal condition and environment information. This approach combines the subsum...
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ISBN:
(纸本)0780378660
This paper presents a new behavior-based architecture for a mobile robot. The architecture coordinates behaviors based on a robot's internal condition and environment information. This approach combines the subsumption and schema-based approaches together with a unique feature called Request or Redundant Mode. By monitoring a behavior's expected outcome, an unproductive behavior can request its redundant behavior to take over a task. On the other hand, when the requesting behavior can do the task again, it can take the task back. The results show that a system with the new architecture yields better performance than a system without it. Moreover, the new architecture can change behaviors' levels and modes, add new behaviors, delete unused behaviors, and create new behaviors or tasks from existing behaviors at run-time, without reprogramming or restarting the entire system.
A motion compression method by max t-norm composite fuzzy relational equations (MCF) is proposed. In the case of MCF, a motion sequence is divided into intra,pictures (I-pictures) and predictive-pictures (P-pictures)....
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ISBN:
(纸本)0780378660
A motion compression method by max t-norm composite fuzzy relational equations (MCF) is proposed. In the case of MCF, a motion sequence is divided into intra,pictures (I-pictures) and predictive-pictures (P-pictures). The I-pictures and the P-pictures are compressed by using uniform coders and non-uniform coders, respectively. In order to perform an effective compression and reconstruction of the P-pictures, a design method of non-uniform coders is proposed. The proposed design method is based on an overlap level of fuzzy sets and a fuzzy equalization. Through an experiment using 10 P-pictures, it is confirmed that the root means square errors of the proposed method is decreased to 89.4% of the uniform coders, under the condition that the compression rate is 0.0057. A result of motion compression and reconstruction of motion (standard motion imagery) by MCF is also presented.
We describe a surveillance system which allows a mobile robot, operating within a familiar setting, to detect unexpected changes in the environment (i.e., presence or absence of objects or persons, unexpectedly opened...
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ISBN:
(纸本)0780378660
We describe a surveillance system which allows a mobile robot, operating within a familiar setting, to detect unexpected changes in the environment (i.e., presence or absence of objects or persons, unexpectedly opened/closed doors or windows, etc.). To achieve this, the robot "looks at" the environment through a TV camera;next, it compares what "it sees" in a specific moment with what "it should see" at that same location. In particular, an approach is proposed for images comparison which requires to find color clusters in the color histograms corresponding to the images to be compared: by analyzing the color clusters in the two images, the system detects similarities or differences between them and consequently deduces if something has changed in the scene. Since the techniques proposed in literature usually rely on the geometrical characteristics of the objects to be detected (besides cromination), "ad hoc" algorithms have been implemented for color clusters comparison;the proposed techniques can be used alone or in cooperation with existing pattern recognition methods in order to increase the performance of the whole system.
In this paper we address a new problem in reinforcement learning. Here we consider an agent that faces multiple learning tasks within its lifetime. The agent's objective is to maximize its total reward in the life...
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ISBN:
(纸本)0780378660
In this paper we address a new problem in reinforcement learning. Here we consider an agent that faces multiple learning tasks within its lifetime. The agent's objective is to maximize its total reward in the lifetime as well as a conventional return in each task. To realize this, it has to be endowed an important ability to keep its past learning experiences and utilize them for improving future learning performance. This time we try to phrase this problem formally. The central idea is to introduce an environmental class, BV-MDPs that is defined with the distribution of MDPs. As an approach to exploiting past learning experiences, we focus on statistics (mean and deviation) about the agent's value tables. The mean can be used as initial values of the table when a new task is presented. The deviation can be viewed as measuring reliability of the mean, and we utilize it in calculating priority of simulated backups. We conduct experiments in computer simulation to evaluate the effectiveness.
Recently, a number of skillful robots have been developed. One of them can walk and move upstairs just Eke human beings. However it can so far only demonstrate preprogrammed motions according to the external commands/...
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ISBN:
(纸本)0780378660
Recently, a number of skillful robots have been developed. One of them can walk and move upstairs just Eke human beings. However it can so far only demonstrate preprogrammed motions according to the external commands/situations. Therefore an autonomous adaptation ability has been highly anticipated. Meanwhile, humans can learn new motions such as catching/kicking a ball, in spite of his/her high dimensional sensorimotor DOF (degree of freedom). In this learning process, it can be hypothesized that the learner actively constrains the DOF by him/her-self using learning skills, in this paper referred to as schema. In this study, a learning method for autonomous mobile robots operating in unknown environments is proposed, where not only a learning mechanism for sensorimotor mappings but also an extraction/re-use mechanism of the schemata (i.e. constraint rules for learning) is implemented. Through the results of simulations and real experiments of mobile robot navigation, the validity of the proposed method is clarified.
Stereo correspondence could be formulated as an optimization problem. Most of the existing solutions, however, adopt the gradient-based approaches, requiring an initialization close to the correct solution. This paper...
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This paper presents a methodology for optimal design of 6-DOF modular parallel manipulators. In type synthesis, a general methodology is presented to choose a type of configuration using a look-up table. This table, c...
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