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IJCNN
2000
IEEE
14 years 2 months ago
PD Control of Robot with RBF Networks Compensation
In this paper the popular PD controller of robot manipulator is modified. RBF neural networks are used to compensate the gravity and fi-iction. No exact knowledge of the robot dyn...
Wen Yu, José Antonio Heredia
AGENTS
2000
Springer
14 years 2 months ago
Unsupervised clustering of robot activities: a Bayesian approach
Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
ECAL
2003
Springer
14 years 3 months ago
Evolving Fractal Gene Regulatory Networks for Robot Control
Fractal proteins are a new evolvable method of mapping genotype to phenotype through a developmental process, where genes are expressed into proteins comprised of subsets of the Ma...
Peter J. Bentley
IROS
2008
IEEE
111views Robotics» more  IROS 2008»
14 years 4 months ago
Learning perceptual coupling for motor primitives
—Dynamic system-based motor primitives [1] have enabled robots to learn complex tasks ranging from Tennisswings to locomotion. However, to date there have been only few extension...
Jens Kober, Betty J. Mohler, Jan Peters
ROBOCUP
2004
Springer
94views Robotics» more  ROBOCUP 2004»
14 years 3 months ago
Optic Flow Based Skill Learning for a Humanoid to Trap, Approach to, and Pass a Ball
Generation of a sequence of behaviors is necessary for the RoboCup Humanoid league to realize not simply a individual robot performance but also cooperative ones between robots. A ...
Masaki Ogino, Masaaki Kikuchi, Jun'ichiro Ooga, Ma...