Sciweavers

175 search results - page 13 / 35
» Learning humanoid reaching tasks in dynamic environments
Sort
View
NIPS
2007
15 years 7 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
140
Voted
DAGSTUHL
2003
15 years 7 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
15 years 7 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
16 years 1 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
154
Voted
RAS
2010
109views more  RAS 2010»
15 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...