The Experts below are selected from a list of 3231 Experts worldwide ranked by ideXlab platform
T. Ishida - One of the best experts on this subject based on the ideXlab platform.
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ISRR - SDR-4X II: A Small Humanoid as an Entertainer in Home Environment
Springer Tracts in Advanced Robotics, 2020Co-Authors: M. Fujita, Y. Kuroki, Kohtaro Sabe, T. IshidaAbstract:In this paper we describe the Autonomous Behavior control architecture of SDR-4X II, which serves to integrate multi-modal recognition and motion control technologies. We overview the entire software architecture of SDR-4X II, which is composed of perception, short and long term memory, Behavior control, and motion control parts. Regarding Autonomous Behavior control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior control/selection mechanism with tree-structured situated Behavior modules. In the Autonomous Behavior control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the Autonomous Behavior control architecture described, we demonstrate that SDR-4X II can spontaneously and passively interact with a human.
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IROS - Autonomous Behavior control architecture of entertainment humanoid robot SDR-4X
Proceedings 2003 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003Co-Authors: M. Fujita, Y. Kuroki, T. IshidaAbstract:In this paper we describe the Autonomous Behavior control architecture of SDR-4X, which serves to integrate multi-modal recognition and motion control technologies. We overview the entire software architecture of SDR-4X, which is composed of perception, short and long term memory, Behavior control, and motion control parts. Regarding Autonomous Behavior control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior control/selection mechanism with tree-structured situated Behavior modules. In the Autonomous Behavior control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the Autonomous Behavior control architecture described, we demonstrate that SDR-4X can spontaneously and passively interact with a human.
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Autonomous Behavior control architecture of entertainment humanoid robot SDR-4X
Proceedings 2003 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003Co-Authors: M. Fujita, Y. Kuroki, T. IshidaAbstract:In this paper we describe the Autonomous Behavior control architecture of SDR-4X, which serves to integrate multi-modal recognition and motion control technologies. We overview the entire software architecture of SDR-4X, which is composed of perception, short and long term memory, Behavior control, and motion control parts. Regarding Autonomous Behavior control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior control/selection mechanism with tree-structured situated Behavior modules. In the Autonomous Behavior control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the Autonomous Behavior control architecture described, we demonstrate that SDR-4X can spontaneously and passively interact with a human.
Haruki Ueno - One of the best experts on this subject based on the ideXlab platform.
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ROBIO - Knowledge-Based Autonomous Behavior Control of Robots in a Symbiotic Human-Robot System
2006 IEEE International Conference on Robotics and Biomimetics, 2006Co-Authors: Tao Zhang, Haruki UenoAbstract:In order to implement Autonomous Behavior control of robots according to human requests in a complex symbiotic human-robot system, this paper proposes a novel knowledge-based intelligent control method. In this method, a knowledge model is first defined by means of frame-based knowledge representation. It contains various frames for describing different users, features of multiple robots as well as robot Behaviors for human-robot communication and performing various tasks. According to this knowledge model, Autonomous Behavior control of robots in a symbiotic human- robot system can be implemented by means of a software platform, called Software Platform for Agents and Knowledge Management (SPAK). In this paper, the effectiveness of the proposed method is demonstrated by experiment using actual robots.
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Knowledge-Based Autonomous Behavior Control of Robots in a Symbiotic Human-Robot System
2006 IEEE International Conference on Robotics and Biomimetics, 2006Co-Authors: Tao Zhang, Haruki UenoAbstract:In order to implement Autonomous Behavior control of robots according to human requests in a complex symbiotic human-robot system, this paper proposes a novel knowledge-based intelligent control method. In this method, a knowledge model is first defined by means of frame-based knowledge representation. It contains various frames for describing different users, features of multiple robots as well as robot Behaviors for human-robot communication and performing various tasks. According to this knowledge model, Autonomous Behavior control of robots in a symbiotic human- robot system can be implemented by means of a software platform, called Software Platform for Agents and Knowledge Management (SPAK). In this paper, the effectiveness of the proposed method is demonstrated by experiment using actual robots.
M. Fujita - One of the best experts on this subject based on the ideXlab platform.
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ISRR - SDR-4X II: A Small Humanoid as an Entertainer in Home Environment
Springer Tracts in Advanced Robotics, 2020Co-Authors: M. Fujita, Y. Kuroki, Kohtaro Sabe, T. IshidaAbstract:In this paper we describe the Autonomous Behavior control architecture of SDR-4X II, which serves to integrate multi-modal recognition and motion control technologies. We overview the entire software architecture of SDR-4X II, which is composed of perception, short and long term memory, Behavior control, and motion control parts. Regarding Autonomous Behavior control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior control/selection mechanism with tree-structured situated Behavior modules. In the Autonomous Behavior control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the Autonomous Behavior control architecture described, we demonstrate that SDR-4X II can spontaneously and passively interact with a human.
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IROS - Autonomous Behavior control architecture of entertainment humanoid robot SDR-4X
Proceedings 2003 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003Co-Authors: M. Fujita, Y. Kuroki, T. IshidaAbstract:In this paper we describe the Autonomous Behavior control architecture of SDR-4X, which serves to integrate multi-modal recognition and motion control technologies. We overview the entire software architecture of SDR-4X, which is composed of perception, short and long term memory, Behavior control, and motion control parts. Regarding Autonomous Behavior control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior control/selection mechanism with tree-structured situated Behavior modules. In the Autonomous Behavior control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the Autonomous Behavior control architecture described, we demonstrate that SDR-4X can spontaneously and passively interact with a human.
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Autonomous Behavior control architecture of entertainment humanoid robot SDR-4X
Proceedings 2003 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003Co-Authors: M. Fujita, Y. Kuroki, T. IshidaAbstract:In this paper we describe the Autonomous Behavior control architecture of SDR-4X, which serves to integrate multi-modal recognition and motion control technologies. We overview the entire software architecture of SDR-4X, which is composed of perception, short and long term memory, Behavior control, and motion control parts. Regarding Autonomous Behavior control, we further focus on issues such as spontaneous Behavior generation using a homeostasis regulation mechanism, and a Behavior control/selection mechanism with tree-structured situated Behavior modules. In the Autonomous Behavior control architecture, we achieve three basic requirements, which are the concurrent evaluation of the situation of each Behavior module, concurrent execution of multiple Behavior modules, and preemption (Behavior interruption/resume capability). Using the Autonomous Behavior control architecture described, we demonstrate that SDR-4X can spontaneously and passively interact with a human.
Howie Choset - One of the best experts on this subject based on the ideXlab platform.
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ICRA - Visual sensing for developing Autonomous Behavior in snake robots
2014 IEEE International Conference on Robotics and Automation (ICRA), 2014Co-Authors: Hugo Ponte, Max Queenan, Chaohui Gong, Florian Enner, Martial Hebert, Christoph Mertz, Matthew Travers, Howie ChosetAbstract:Snake robots are uniquely qualified to investigate a large variety of settings including archaeological sites, natural disaster zones, and nuclear power plants. For these applications, modular snake robots have been tele-operated to perform specific tasks using images returned to it from an onboard camera in the robots head. In order to give the operator an even richer view of the environment and to enable the robot to perform Autonomous tasks we developed a structured light sensor that can make three-dimensional maps of the environment. This paper presents a sensor that is uniquely qualified to meet the severe constraints in size, power and computational footprint of snake robots. Using range data, in the form of 3D pointclouds, we show that it is possible to pair high-level planning with mid-level control to accomplish complex tasks without operator intervention.
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Visual sensing for developing Autonomous Behavior in snake robots
2014 IEEE International Conference on Robotics and Automation (ICRA), 2014Co-Authors: Hugo Ponte, Max Queenan, Chaohui Gong, Chirstoph Mertz, Matt Travers, Florian Enner, Martial Hebert, Howie ChosetAbstract:Snake robots are uniquely qualified to investigate a large variety of settings including archaeological sites, natural disaster zones, and nuclear power plants. For these applications, modular snake robots have been tele-operated to perform specific tasks using images returned to it from an onboard camera in the robots head. In order to give the operator an even richer view of the environment and to enable the robot to perform Autonomous tasks we developed a structured light sensor that can make three-dimensional maps of the environment. This paper presents a sensor that is uniquely qualified to meet the severe constraints in size, power and computational footprint of snake robots. Using range data, in the form of 3D pointclouds, we show that it is possible to pair high-level planning with mid-level control to accomplish complex tasks without operator intervention.
Tao Zhang - One of the best experts on this subject based on the ideXlab platform.
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ROBIO - Knowledge-Based Autonomous Behavior Control of Robots in a Symbiotic Human-Robot System
2006 IEEE International Conference on Robotics and Biomimetics, 2006Co-Authors: Tao Zhang, Haruki UenoAbstract:In order to implement Autonomous Behavior control of robots according to human requests in a complex symbiotic human-robot system, this paper proposes a novel knowledge-based intelligent control method. In this method, a knowledge model is first defined by means of frame-based knowledge representation. It contains various frames for describing different users, features of multiple robots as well as robot Behaviors for human-robot communication and performing various tasks. According to this knowledge model, Autonomous Behavior control of robots in a symbiotic human- robot system can be implemented by means of a software platform, called Software Platform for Agents and Knowledge Management (SPAK). In this paper, the effectiveness of the proposed method is demonstrated by experiment using actual robots.
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Knowledge-Based Autonomous Behavior Control of Robots in a Symbiotic Human-Robot System
2006 IEEE International Conference on Robotics and Biomimetics, 2006Co-Authors: Tao Zhang, Haruki UenoAbstract:In order to implement Autonomous Behavior control of robots according to human requests in a complex symbiotic human-robot system, this paper proposes a novel knowledge-based intelligent control method. In this method, a knowledge model is first defined by means of frame-based knowledge representation. It contains various frames for describing different users, features of multiple robots as well as robot Behaviors for human-robot communication and performing various tasks. According to this knowledge model, Autonomous Behavior control of robots in a symbiotic human- robot system can be implemented by means of a software platform, called Software Platform for Agents and Knowledge Management (SPAK). In this paper, the effectiveness of the proposed method is demonstrated by experiment using actual robots.
