The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This work deals with human-friendly trajectory generation of an arm robot. Various methods for the trajectory generation have been proposed so far, but robots must deal with environments including human operators. In this situation, the robot should take a suitable action/motion to the individual operator. This work applies an interactive particle swarm optimization for the trajectory generation using...
In rescue robot competition field, a robot needs to operate in various dynamic environments where they encounter a multitude of unknown both static and/or moving obstacles and targets. Hence, the robot should have high mobility performance to cope with this situation. Here, we propose a new robot hybrid mechanism that consists of wheeled and legged actuators. Based upon the designed mechanism, we...
This paper discusses the role of evolutionary computation in visual perception for partner robots. The search of evolutionary computation has many analogies with human visual search. First of all, we discuss the analogies between the evolutionary search and human visual search. Next, we propose the concept of evolutionary robot vision, and a human tracking method based on the evolutionary robot vision...
This paper discusses the advantage and disadvantage of particle swarm intelligence robot vision for multiple human heads tracking. The particle swarm intelligence robot vision combines the technologies of the swarm intelligence computation and robot vision. Particle swarm optimization can perform the multiple human heads tracking well for feasible solution in a dynamic movement. This paper shows the...
This paper discusses the advantage and disadvantage of evolutionary robot vision and particle swarm optimization for multiple human heads tracking. Evolutionary robot vision combines the technologies of the evolutionary computation and robot vision. Both of evolutionary computation and particle swarm optimization can perform the multiple human heads tracking well for feasible solution in a dynamic...
This paper discusses the advantage and disadvantage of evolutionary robot vision for tracking multiple humans. Evolutionary robot vision combines the technologies of the evolutionary computation and robot vision. The evolutionary computation can search for feasible solution in a dynamic environment. This paper shows its performance. The multi-scale feature extraction, working memory area and evolutionary...
This paper proposes swarm intelligence for a perceptual system of a partner robot. The robot requires the capability of visual perception to interact with a human. Basically, a robot should perform moving object extraction and clustering for visual perception used in the interaction with a human. In this paper, we propose a total system for human classification for a partner robot by using particle...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.