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» Dogged Learning for Robots
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SBRN
1998
IEEE
14 years 1 months ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...
IROS
2009
IEEE
123views Robotics» more  IROS 2009»
14 years 3 months ago
Planning-based prediction for pedestrians
— We present a novel approach for determining robot movements that efficiently accomplish the robot’s tasks while not hindering the movements of people within the environment....
Brian Ziebart, Nathan D. Ratliff, Garratt Gallaghe...
ICRA
2006
IEEE
125views Robotics» more  ICRA 2006»
14 years 2 months ago
An Ecological Approach to Odour Recognition in Intelligent Environments
— We present a new approach for odour detection and recognition based on a so-called PEIS-Ecology: a network of gas sensors and a mobile robot are integrated in an intelligent en...
Mathias Broxvall, Silvia Coradeschi, Amy Loutfi, A...
SIGCSE
2012
ACM
513views Education» more  SIGCSE 2012»
12 years 4 months ago
Calico: a multi-programming-language, multi-context framework designed for computer science education
The Calico project is a multi-language, multi-context programming framework and learning environment for computing education. This environment is designed to support several inter...
Douglas S. Blank, Jennifer S. Kay, James B. Marsha...
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
14 years 3 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters