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Rapid Unsupervised Connectionist Learning for Backing a Robot with Two Trailers  (Make Corrections)  (2 citations)
Dean F. Hougen, Maria Gini, James Slagle



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Abstract: This paper presents an application of a connectionist control-learning system designed for use on an autonomous mini-robot. This system was formerly shown to form useful two-dimensional mappings rapidly when applied to backing a car with a single trailer. In the current paper the learning system is extended to three dimensions and applied to a similar but significantly more difficult problem. The system is shown to be capable of rapid unsupervised learning of output responses in temporal... (Update)

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.... research in producing faster reinforcement learning systems [ Hougen et al. 1994, Hougen et al. 1996, Hougen et al. 1997a, Hougen et al. 1997b ] and has motivated similar research by other authors [ Lin and Kim, 1991, Mahadevan and Connell, 1992, Kretchmar and Anderson,...

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A Feedback Control Scheme for Reversing a Truck and - Trailer Vehicle Claudio (2001)   (Correct)
Repeatability of Real World Training Experiments: A Case Study - Hougen, Rybski, Gini (1998)   (Correct)

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2:   A genetic approach to finding a controller to back up a tractor-trailer truck - Koza - 1992
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BibTeX entry:   (Update)

Hougen, D. F., M. Gini, and J. Slagle: 1997b, `Rapid, Unsupervised Connectionist Learning for Backing a Robot with Two Trailers'. In: Proceedings of the IEEE International Conference on Robotics and Automation. pp. 2950-2955. http://citeseer.ist.psu.edu/328801.html   More

@misc{ hougen-rapid,
  author = "D. Hougen and M. Gini and J. Slagle",
  title = "Rapid, Unsupervised Connectionist Learning for Backing a Robot with Two
    Trailers",
  text = "Hougen, D. F., M. Gini, and J. Slagle: 1997b, `Rapid, Unsupervised Connectionist
    Learning for Backing a Robot with Two Trailers'. In: Proceedings of the
    IEEE International Conference on Robotics and Automation. pp. 2950-2955.",
  url = "citeseer.ist.psu.edu/328801.html" }
Citations (may not include all citations):
102   Evolution of homing navigation in a real mobile robot - Floreano, Mondada - 1996
90   Neural Networks for Control (context) - Miller, Sutton et al. - 1990
60   Neural computation and self-organizing maps: an introduction (context) - Ritter, Martinetz et al. - 1992
27   Neural networks for selflearning control systems (context) - Nguyen, Widrow - 1990
25   Adaptive fuzzy systems for backing up a truck-and-trailer (context) - Kong, Kosko - 1992
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20   Evolution of an artificial neural network based autonomous l.. (context) - Baluja - 1996
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6   Controlling a truck with an adaptive critic CMAC design (context) - Shelton, Peterson - 1992
6   Fuzzy BOXES as an alternative to neural networks for difficu.. (context) - Woodcock, Hallam et al. - 1991
2   Neuro-fuzzy optimal control of backing up a trailer truck (context) - Ichihashi, Tokunaga - 1993
2   Expert system controller for backing-up a truck-trailer syst.. (context) - Parra-Loera, Corelis - 1995
2   Model-based fuzzy control of a trailer type mobile robot (context) - Tanaka - 1995
1   Navigating an articulated vehicle and reversing with a trail.. (context) - Larsson, Zeli et al. - 1994
1   Artificial neural network based robot control: An overview (context) - Prabhu, Garg - 1996

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Repeatability of Real World Training Experiments: A Case Study - Hougen, Rybski, Gini (1998)   (Correct)
Partitioning Input Space for Control-Learning - Dean Hougen Maria   (Correct)
Fast Connectionist Learning for Trailer Backing using a Real.. - Dean Hougen John (1996)   (Correct)

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