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Robotics, Volume 2, Issue 3

2013 September - 4 articles

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Articles (4)

  • Editorial
  • Open Access
6,605 Views
2 Pages

6 August 2013

The research on intelligent robots will produce robots that are able to operate in everyday life environments, to adapt their program according to environment changes, and to cooperate with other team members and humans. Operating in human environme...

(This article belongs to the Special Issue Intelligent Robots)
  • Article
  • Open Access
4 Citations
9,174 Views
20 Pages

24 July 2013

Swarming and modular robotic locomotion are two disconnected behaviours that a group of small homogeneous robots can be used to achieve. The use of these two behaviours is a popular subject in robotics research involving search, rescue and exploratio...

(This article belongs to the Special Issue Intelligent Robots)
  • Article
  • Open Access
8 Citations
11,098 Views
16 Pages

An Improved Reinforcement Learning System Using Affective Factors

  • Takashi Kuremoto,
  • Tetsuya Tsurusaki,
  • Kunikazu Kobayashi,
  • Shingo Mabu and
  • Masanao Obayashi

10 July 2013

As a powerful and intelligent machine learning method, reinforcement learning (RL) has been widely used in many fields such as game theory, adaptive control, multi-agent system, nonlinear forecasting, and so on. The main contribution of this techniq...

(This article belongs to the Special Issue Intelligent Robots)
  • Article
  • Open Access
249 Citations
53,856 Views
27 Pages

Reinforcement Learning in Robotics: Applications and Real-World Challenges

  • Petar Kormushev,
  • Sylvain Calinon and
  • Darwin G. Caldwell

5 July 2013

In robotics, the ultimate goal of reinforcement learning is to endow robots with the ability to learn, improve, adapt and reproduce tasks with dynamically changing constraints based on exploration and autonomous learning. We give a summary of the sta...

(This article belongs to the Special Issue Intelligent Robots)
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Robotics - ISSN 2218-6581