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检索条件"任意字段=International Symposium on Computational Intelligence in Robotics and Automation"

共 3096 条记录，以下是81-90 订阅

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A simple rule how to make a reward for learning with human interaction

A simple rule how to make a reward for learning with human i...

引用

international symposium on computational intelligence in robotics and automation

作者： Kurashige, Kentarou Muroran Inst Technol Dept Comp Sci & Syst Engn Hokkaido Japan

ISBN: (纸本)9781424407897

Recently, various learning methods are adapted for experimental robot. We can make movement of a robot by giving teaching signals to a robot. But it is heavy for operator to define how to give teaching signals generally because operator must guess and think of a task and environment and define a function to do that. Here I aim to create teaching signals automatically for each task and environment. In this paper, I suggest a simple rule which is independent of information about any task and environment to create teaching signals for each task and environment. This rule is that a situation which is often happened is good situation. In this paper, I adopt reinforcement learning as learning method and a small-sized humanoid robot as application. I will show creating a reward by adapting a rule and show that a robot can learn and make movement.

关键词： Education Learning systems robotics and automation Educational robots Robot control Costs Human robot interaction computational intelligence USA Councils Humanoid robots

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Physics-based animation for qualitative assessment of biomimetic subterranean burrowing Behaviors

Physics-based animation for qualitative assessment of biomim...

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international symposium on computational intelligence in robotics and automation

作者： Bergeron, Bryan Harvard Univ Sch Med HST Div Brookline MA 02446 USA

ISBN: (纸本)9781424407897

Physics-based animations executing on 3D game engines enabled with physics middleware libraries and coprocessors can be used to explore the suitability of potential robot behaviors in working environments and robot configurations that are ill-defined or difficult and time-consuming to model with traditional quantitative tools. We use an inexpensive game development engine and PC hardware to develop physics-based animations of potential biomimetic subterranean robot burrowing behaviors. Qualitative assessment of energy efficiency, burrowing time, and digging capabilities of several biomimetic robot designs are validated with data from physical prototypes operated in a range of soil types and models of soil using colored particles. Results suggest this methodology is applicable to rapid screening of potential robot designs intended to operate in a variety of domains.

关键词： biomimetics game engines subterranean robotics modeling and simulation

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The 3rd generation of robotics: Ubiquitous robot

The 3rd generation of robotics: Ubiquitous robot

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2005 IEEE international symposium on computational intelligence in robotics and automation CIRA 2005

作者： Kim, Jong-Hwan KAIST Korea Republic of Griffith University Australia De la Salle University Philippines

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Map building and localization using 2D range scanner

Map building and localization using 2D range scanner

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IEEE international symposium on computational intelligence in robotics and automation

作者： Xu, ZZ Liu, JL Xiang, ZY Zhejiang Univ Dept Informat Sci & Elect Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)0780378660

This paper presents a global localization method based on map matching. A local map is built by successive splitting and merging scan points. A global map is built by merging all local maps. Local and global map are represented with line segments that are sorted counterclockwise. Complete line segments are selected to match between two maps. Matching is based on relative position relation of complete line segment. Localization algorithm based on ordinal map and based on relative position relation improves matching efficiency and lowers computational cost. All these techniques have been implemented on our mobile robot ATRVII equipped with 2D laser range scanner SICK.

关键词： laser ranging navigation path planning optical scanners feature extraction mobile robots global localization method map building map matching successive splitting method merging scan points line segment extraction relative position relation localization algorithm ordinal map computational cost 2D laser range scanner mobile robot

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A study on EMG-Based human motion prediction for power assist exoskeletons

A study on EMG-Based human motion prediction for power assis...

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international symposium on computational intelligence in robotics and automation

作者： Kiguchi, Kazuo Saga Univ Saga 8408502 Japan

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.

关键词： Humans Exoskeletons Electromyography Muscles Motion control Senior citizens Rehabilitation robotics Fuzzy control Service robots Control systems

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computational intelligence for the robotics and automation

Computational intelligence for the robotics and automation

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Proceedings of the 1999 IEEE international symposium on Industrial Electronics (ISIE'99)

作者： Fukuda, Toshio Kubota, Naoyuki Nagoya Univ Nagoya Japan

This tutorial gives the idea of the computational intelligence and the applications to the robotics and automation. First the basics for the computational intelligence is introduced, including the Neural Networks, Fuzzy System and Evolutionary computation, and then the advanced methodologies are shown in detail. Then the application examples will be given how they can improve the conventional methods and how they can solve the problems in the field of the intelligent system of robotics and automation.

关键词： Artificial intelligence

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An Ethical Adaptor: Behavioral Modification Derived from Moral Emotions

An Ethical Adaptor: Behavioral Modification Derived from Mor...

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IEEE international symposium on computational intelligence in robotics and automation

作者： Arkin, Ronald C. Ulam, Patrick Georgia Inst Technol Coll Comp Mobile Robot Lab Atlanta GA 30332 USA

ISBN: (纸本)9781424448081

This paper presents the motivation, basis and a prototype implementation of an ethical adaptor capable of using a moral affective function, guilt, as a basis for altering a robot's ongoing behavior. While the research is illustrated in the context of the battlefield, the methods described are believed generalizable to other domains such as eldercare and are potentially extensible to a broader class of moral emotions, including compassion and empathy.

关键词： Artificial intelligence

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Necessity and problem of computational intelligence in welfare and rehabilitation engineering

Necessity and problem of computational intelligence in welfa...

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IEEE international symposium on computational intelligence in robotics and automation

作者： Tejima, N Ritsumeikan Univ Dept Robot Kyoto Japan

ISBN: (纸本)0780378660

The ultimate goal of rehabilitation for the elderly and people with disabilities is not to recover their lost functions but to make them happy. Self-determination is most important for this purpose. For example, most tetraplegics want to be able to feed by themselves, because a satisfactory meal improves the quality of their lives. If computational intelligence could perform the task perfectly as they pleased, it could make them happy. However, a simple tool without intelligence, operated by them, can realize a better quality of life than state-of-the-art imperfect computational intelligence. Contrary to this, such individuals do not want to wash dishes by themselves. An automatic system with computational intelligence would be useful in this case. It could affect people with mental problems positively or negatively according to the circumstances. computational intelligence should only be used when it can improve the quality of their lives overall.

关键词： Artificial intelligence

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Distributed Sensory intelligence architecture for human centered systems

Distributed Sensory Intelligence architecture for human cent...

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IEEE international symposium on computational intelligence in robotics and automation

作者： Yamguchi, T Chen, DY Nitta, H JST PRESTO Hino Tokyo 1910065 Japan

ISBN: (纸本)0780372034

This paper aims at providing driver with his blind spot information in advance, taking his intention into consideration We propose an "distributed-sensory-intelligence architecture", which distributed sensory intelligence (with pair of sensor and intelligence) and connects each other by network Intelligent Space is the space as if the whole space has high intelligence cooperation with each other switching its role autonomously, by, environmental information This autonomous role switching function is "SOFT DNA" In this paper we aim at realizing safe and comfortable driving support by showing information required for a driver by re-composing environmental formation or recognizing driver intention based on this distributed-sensory-intelligence architecture This proposal can be use in robotics too.

关键词： Network architecture

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Multi-Agent Systems for Autonomous IoT Network Management Using Distributed Reinforcement Learning

Multi-Agent Systems for Autonomous IoT Network Management Us...

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international symposium on Advanced Computing and Communication (ISACC)

作者： Neelamegam G Rajaram Venkatesan Ramya SR R.S. Ramya Akshya. J M. Sundarrajan Mani Deepak Choudhry Department of Computer Science and Engineering VSB College of Engineering and Technology Coimbatore Tamil Nadu India Department of Artificial Intelligence and Data Science Builders Engineering College Tirupur Tamil Nadu India Department of Computer Science and Engineering Dr NGP Institute of Technology Coimbatore Tamil Nadu India Department of Computer Science and Engineering Sri Ramakrishna Engineering College Coimbatore Tamil Nadu India Department of Computational Intelligence SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Networking and Communications SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Computing Technologies SRM Institute of Science and Technology Chennai Tamil Nadu India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

The ever-growing complexity of IoT networks ignited by their wide scale adoption in applications such as smart cities, the industrial automation, and health care, compelled to develop sophisticated yet resource efficient and scalable network management solution. Centralized systems are traditional in architecture, which leads to higher latency and bottlenecks, while decentralized systems can distribute workloads however the lack of adaptability to real time, along with the difficulty of extracting maximum resource usage, are limitations. In recent years, reinforcement learning (RL) based approaches have taken shape as a promising alternative to facilitate the automated learning and optimisation of task management. However, there are two challenges for existing RL based methods: slow convergence, inefficient priority assignment of tasks, and poor coordination amongst agents in the case of dynamic, large scale IoT environment. To solve these challenges, in this research we propose a distributed reinforcement learning based multi agent framework for managing IoT network. The framework also integrates a task prioritization mechanism to dynamically choose an optimal task allocation solution. Further validation was performed in a simulated IoT environment where real world inspired datasets were used. The proposed framework demonstrated 30% more task throughput than centralized, 25% less latency than decentralized, and 40% more energy efficiency than current RL based systems. The system was further validated using advanced visualizations such as anomaly detection maps and resource allocation efficiency graphs, demonstrating its capacity to manage dynamic load of tasks and resource allocation. The proposed framework addresses the critical limitations of current methods, through scalable, adaptive, and energy efficient framework for managing IoT network, and accordingly helps advancing the intelligent and autonomous IoT systems.

关键词： Smart cities Reinforcement learning Medical services Throughput Dynamic scheduling Energy efficiency Real-time systems Resource management Optimization Multi-agent systems

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