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» Hierarchical Reactive Control for Humanoid Soccer Robots
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ICRA
2008
IEEE
128views Robotics» more  ICRA 2008»
14 years 14 days ago
Intrinsically motivated hierarchical manipulation
— We present a framework for the programming of manipulation behavior by means of an intrinsic reward function that encourages the building of deep control knowledge. We show how...
Stephen Hart, Shijaj Sen, Roderic A. Grupen
ROBOCUP
2009
Springer
110views Robotics» more  ROBOCUP 2009»
14 years 18 days ago
A Lua-based Behavior Engine for Controlling the Humanoid Robot Nao
The high-level decision making process of an autonomous robot can be seen as an hierarchically organised entity, where strategical decisions are made on the topmost layer, while th...
Tim Niemüller, Alexander Ferrein, Gerhard Lak...
AR
1998
124views more  AR 1998»
13 years 5 months ago
The CMUnited-98 champion small-robot team
Robotic soccer presents a large spectrum of challenging research opportunities. In this article, we present the main research and technical contributions of our champion CMUnited-...
Manuela M. Veloso, Michael H. Bowling, Peter Stone
AAAI
1990
13 years 7 months ago
Integrating, Execution, Planning, and Learning in Soar for External Environments
Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar architecture supports planning, execution, and le...
John E. Laird, Paul S. Rosenbloom
RAS
2010
109views more  RAS 2010»
13 years 4 months ago
Combining active learning and reactive control for robot grasping
Grasping an object is a task that inherently needs to be treated in a hybrid fashion. The system must decide both where and how to grasp the object. While selecting where to grasp...
Oliver Krömer, Renaud Detry, Justus H. Piater...