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» Dogged Learning for Robots
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PAA
2006
13 years 10 months ago
An empirical study of machine learning techniques for affect recognition in human-robot interaction
Abstract Given the importance of implicit communication in human interactions, it would be valuable to have this capability in robotic systems wherein a robot can detect the motiva...
Pramila Rani, Changchun Liu, Nilanjan Sarkar, Eric...
IROS
2006
IEEE
247views Robotics» more  IROS 2006»
14 years 4 months ago
Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
Jens Kubacki, Winfried Baum
ICRA
2008
IEEE
155views Robotics» more  ICRA 2008»
14 years 4 months ago
Learning tactic-based motion models with fast particle smoothing
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
Yang Gu, Manuela M. Veloso
AIIA
2005
Springer
14 years 3 months ago
Anchoring by Imitation Learning in Conceptual Spaces
Abstract. In order to have a robotic system able to effectively learn by imitation, and not merely reproduce the movements of a human teacher, the system should have the capabiliti...
Antonio Chella, Haris Dindo, Ignazio Infantino
ICRA
2003
IEEE
222views Robotics» more  ICRA 2003»
14 years 3 months ago
Path planning using learned constraints and preferences
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
Gregory Dudek, Saul Simhon