Sciweavers

175 search results - page 13 / 35
» Learning humanoid reaching tasks in dynamic environments
Sort
View
NIPS
2007
14 years 11 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
69
Voted
DAGSTUHL
2003
14 years 11 months ago
Maximizing Learning Progress: An Internal Reward System for Development
This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. It...
Frédéric Kaplan, Pierre-Yves Oudeyer
AAAI
1998
14 years 11 months ago
Alternative Essences of Intelligence
We present a novel methodology for building humanlike artificially intelligent systems. We take as a model the only existing systems which are universally accepted as intelligent:...
Rodney A. Brooks, Cynthia Breazeal, Robert Irie, C...
ACHI
2010
IEEE
15 years 4 months ago
A Simulation Framework for Human-Robot Interaction
Abstract—The development of human-robot interaction scenarios is a strongly situation-dependent as well as an extremely dynamic task. Humans interacting with the robot directly r...
Norbert Schmitz, Jochen Hirth, Karsten Berns
RAS
2010
109views more  RAS 2010»
14 years 8 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...