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Robotics, Volume 4, Issue 3

2015 September - 5 articles

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Articles (5)

  • Article
  • Open Access
8 Citations
8,066 Views
33 Pages

Multi-Robot Item Delivery and Foraging: Two Sides of a Coin

  • Somchaya Liemhetcharat,
  • Rui Yan,
  • Keng Peng Tee and
  • Matthew Lee

23 September 2015

Multi-robot foraging has been widely studied in the literature, and the general assumption is that the robots are simple, i.e., with limited processing and carrying capacity. We previously studied continuous foraging with slightly more capable robots...

  • Article
  • Open Access
21 Citations
9,773 Views
24 Pages

7 September 2015

It is challenging to develop a control algorithm that uses only one sensor to guide an autonomous vehicle. The objective of this research was to develop a control algorithm with a single sensor for an autonomous agricultural vehicle that could identi...

  • Article
  • Open Access
10 Citations
8,181 Views
25 Pages

A Spatial Queuing-Based Algorithm for Multi-Robot Task Allocation

  • William Lenagh,
  • Prithviraj Dasgupta and
  • Angelica Munoz-Melendez

28 August 2015

Multi-robot task allocation (MRTA) is an important area of research in autonomous multi-robot systems. The main problem in MRTA is to allocate a set of tasks to a set of robots so that the tasks can be completed by the robots while ensuring that a ce...

  • Article
  • Open Access
3 Citations
6,725 Views
32 Pages

Intent Understanding Using an Activation Spreading Architecture

  • Mohammad Taghi Saffar,
  • Mircea Nicolescu,
  • Monica Nicolescu and
  • Banafsheh Rekabdar

30 July 2015

In this paper, we propose a new approach for recognizing intentions of humans by observing their activities with a color plus depth (RGB-D) camera. Activities and goals are modeled as a distributed network of inter-connected nodes in an Activation Sp...

  • Article
  • Open Access
5 Citations
9,644 Views
31 Pages

13 July 2015

Learning and planning are powerful AI methods that exhibit complementary strengths. While planning allows goal-directed actions to be computed when a reliable forward model is known, learning allows such models to be obtained autonomously. In this pa...

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Robotics - ISSN 2218-6581