This article posits the idea of robot learning as a new subfield. The results of the Robolearn-96 Workshop provide evidence that learning in modern robotics is distinct from traditional machine learning. The article examines the role of robotics in the social and natural sciences and the potential impact of learning on robotics, generating both a continuum of research issues and a description of the divergent terminology, target domains, and standards of proof associated with robot learning. The article argues that although robot learning is a new subfield, there is significant potential for synergy with traditional machine learning if the differences in research cultures can be overcome
Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. A...
Abstract: The aim of this work is to contribute some insights and a partial overview of how machine ...
Abstract. Learning robots that can acquire new motor skills and re-fine existing ones have been a lo...
Creating autonomous robots that can learn to act in unpredictable environments has been a long-stand...
Creating autonomous robots that can learn to act in unpredictable environments has been a long-stand...
Creating autonomous robots that can learn to act in unpredictable environments has been a long-stand...
Robot Learning is intended for one term advanced Machine Learning courses taken by students from dif...
Robotics challenges can inspire and motivate new Machine Learning research as well as being an inter...
The definitions above, separated by ten years, represent two very different conceptions of learning....
While robots have been popular as a tool for STEM teaching, the use of robots in other learning scen...
This paper describes methodologies applied and results achieved in the framework of the ESPRIT Basic...
Machine learning is concerned with algorithms inspired by the structure and function of the brain ca...
Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. A...
Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. A...
Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. A...
Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. A...
Abstract: The aim of this work is to contribute some insights and a partial overview of how machine ...
Abstract. Learning robots that can acquire new motor skills and re-fine existing ones have been a lo...
Creating autonomous robots that can learn to act in unpredictable environments has been a long-stand...
Creating autonomous robots that can learn to act in unpredictable environments has been a long-stand...
Creating autonomous robots that can learn to act in unpredictable environments has been a long-stand...
Robot Learning is intended for one term advanced Machine Learning courses taken by students from dif...
Robotics challenges can inspire and motivate new Machine Learning research as well as being an inter...
The definitions above, separated by ten years, represent two very different conceptions of learning....
While robots have been popular as a tool for STEM teaching, the use of robots in other learning scen...
This paper describes methodologies applied and results achieved in the framework of the ESPRIT Basic...
Machine learning is concerned with algorithms inspired by the structure and function of the brain ca...
Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. A...
Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. A...
Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. A...
Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. A...
Abstract: The aim of this work is to contribute some insights and a partial overview of how machine ...
Abstract. Learning robots that can acquire new motor skills and re-fine existing ones have been a lo...