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Pregled bibliografske jedinice broj: 114647

Časopis

Autori: Kulić, Ranka; Vukić, Zoran
Naslov: Methodology of Concept Control Synthesis to Avoid Unmoving and Moving Obstacles
Izvornik: Journal of Intelligent & Robotic Systems (0921-0296) 37 (2003), 1; 21-41
Vrsta rada: članak
Ključne riječi: Behavioral cloning; cloning success; linear regression; machine learning; obstacle avoidance; robot motion planning
Sažetak:
The dynamic path generation problem of robots in environments with other unmoving and moving objects is considered. Generally, the problem is known in the literature as find path or robot motion planning. In this paper, we apply the behavioral cloning approach to design the robot controller. In behavioral cloning, the system learns from control traces of a human operator. The task for the given problem is to find a controller in the form of an explicit mathematical expression. Thus, machine learning programs to induce the operator's trajectories as a set of symbolic constraints are used. Then, mathematical induction to generalize the obtained equations in order to apply them in situ with an infinite number of obstacles is also used. A method to evaluate cloning success is proposed. The typical kind of noise is included.
Projekt / tema: 0036010
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika
URL cjelovitog teksta:
Google Scholar: Methodology of Concept Control Synthesis to Avoid Unmoving and Moving Obstacles



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