Person

Masoud Asadpour

This person is no longer with EPFL

Related publications (19)

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Perception and Behavior of InsBot : Robot-Animal Interaction Issues

Roland Siegwart, Fabien Tâche, Masoud Asadpour, Gilles Caprari, Walter Karlen

This paper describes the hardware and behavior implementation of a miniature robot, in size of a match box, that is able to interact with cockroaches. The robot is equipped with two micro-processors dedicated to hardware processing and behavior generation. ...

2005

Collective Decision-Making by a Group of Cockroach-like Robots

Masoud Asadpour, Gilles Caprari

In group-living animals, aggregation favours interactions as well as information exchanges between individuals, and allows thus the emergence of complex collective behaviors. In previous works, a model of a self-enhanced aggregation was deduced from experi ...

2005

The embodiment of cockroach behaviour in a micro-robot

Masoud Asadpour, Simon Garnier

Autonomous robots may some day be able to behave like an animal, be accepted by the animal as a conspecific and influence the individual as well as the collective behaviour of the animal and its conspecifics. With this objective in mind we report here the ...

2004

The embodiment of cockroach behaviour in a micro-robot

Masoud Asadpour

2004

Compact Q-Learning Optimized for Micro-robots with Processing and Memory Constraints

Roland Siegwart, Masoud Asadpour

Scaling down robots to miniature size introduces many new challenges including memory and program size limitations, low processor performance and low power autonomy. In this paper we describe the concept and implementation of learning of a safewandering ta ...

2004

Compact Q-Learning for Micro-robots

Roland Siegwart, Masoud Asadpour

2003

Expertness Based Cooperative Q-Learning

Masoud Asadpour

By using other agents experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rules for unseen situations. These benefits would be gained if the learning agent can extract proper rules out of the other agents know ...

2002

Cooperative Q-learning: The Knowledge Sharing Issue

Masoud Asadpour

A group of cooperative and homogeneous Q-learning agents can cooperate to learn faster and gain more knowledge. In order to do so, each learner agent must be able to evaluate the expertness and the intelligence level of the other agents and to assess the k ...

2001

Expertness Measuring in Cooperative Learning

Masoud Asadpour

Cooperative Learning in a multi-agent system can improve the learning quality and learning speed. The improvement can be gained if each agent detects the expert agents and use their knowledge properly. In this paper, a new cooperative learning method, call ...

2000