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118
Voted
ROMAN
2007
IEEE
131views Robotics» more  ROMAN 2007»
15 years 9 months ago
Real-time acoustic source localization in noisy environments for human-robot multimodal interaction
— Interaction between humans involves a plethora of sensory information, both in the form of explicit communication as well as more subtle unconsciously perceived signals. In ord...
Vlad M. Trifa, Ansgar Koene, Jan Morén, Gor...
135
Voted
ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
15 years 9 months ago
Online Affect Detection and Adaptation in Robot Assisted Rehabilitation for Children with Autism
–This paper presents a novel affect-sensitive human-robot interaction framework for rehabilitation of children with autism spectrum disorder (ASD) where the robot can detect the ...
Changchun Liu, Karla Conn, Nilanjan Sarkar, Wendy ...
124
Voted
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 8 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
AIHC
2007
Springer
15 years 8 months ago
Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning
Computer models can be used to investigate the role of emotion in learning. Here we present EARL, our framework for the systematic study of the relation between emotion, adaptation...
Joost Broekens
ECAL
2007
Springer
15 years 8 months ago
A Multi-level Selection Model for the Emergence of Social Norms
We develop a multi-level selection model in the framework of indirect reciprocity. Using two levels of selection, one at the individual level and another at the group level, we pro...
Francisco C. Santos, Fabio A. C. C. Chalub, Jorge ...