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Now showing items 11-20 of 21
Extending the temporal horizon of autonomous robots
(Springer Nature, 2006)
We introduce mathematically rigorous metrics on agent experiences having various temporal horizons. Sensorimotor variables accessible to the agent are--treated as information-theoretic sources modelled as random variables. ...
Naturally Occurring Gestures in a Human-Robot Teaching Scenario
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
This paper describes our general framework for the investigation of how human gestures can be used to facilitate the interaction and communication between humans and robots.
Evolving biological clocks using genetic regulatory networks
(MIT Press, 2006)
Software Evolutionary Dynamics Modelled as the Activity of an Actor-Network
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
Using Self-Imitation to Direct Learning
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
An evolutionary predecessor to observational imitation may have been self-imitation. Self-imitation is where an agent is able to learn and replicate actions it has experienced through the manipulation of its body by another. ...
Distribution and Recognition of Gestures in Human-Robot Interaction
(Institute of Electrical and Electronics Engineers (IEEE), 2006)
This paper presents an approach for human activity recognition focusing on gestures in a teaching scenario, together with the setup and results of user studies on human gestures exhibited in unconstrained human-robot ...
Relevant information in optimized persistence vs. progeny strategies
(MIT Press, 2006)
Evolutionary robustness of differentiation in genetic regulatory networks
(IOS Press, 2006)
We investigate the ability of artificial Genetic Regulatory Networks (GRNs) to evolve differentiation. The proposed GRN model supports non-linear interaction between regulating factors, thereby facilitating the realization ...
Making sense of the sensory data - coordinate systems by hierarchical decomposition
(2006)
Having the right sensory channels is an important ingredient for building an autonomous agent, but we still have the problem of making sense of the sensory data for the agent. This is the basic problem of artificial ...