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A survey on policy search algorithms for learning robot controllers in a handful of trials

Publications associées (107)

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Flying Insects and Robots

Flying insects are intelligent micromachines capable of exquisite maneuvers in unpredictable environments. Understanding these systems advances our knowledge of flight control, sensor suites, and unsteady aerodynamics, which is of crucial interest to engin ...

Springer2009

Tactile Correction and Multiple Training Data Sources for Robot Motion Control

Aude Billard, Eric Sauser, Brenna Dee Argall

This work considers our approach to robot motion control learning from the standpoint of multiple data sources. Our paradigm derives data from human teachers providing task demonstrations and tactile corrections for policy refinement and reuse. We contribu ...

2009

Synthesis, modeling, and experimental validation of distributed robotic search

James Pugh

The work of this thesis centers around the research subject of distributed robotic search. Within the field of distributed robotic systems, a task of particular interest is attempting to locate one or more targets in a possibly unknown environment. While n ...

EPFL2008

Knowledge-based Extraction of Area of Expertise for Cooperation in Learning

Roland Siegwart, Masoud Asadpour

Using each other's knowledge and expertise in learning - what we call cooperation in learning- is one of the major existing methods to reduce the number of learning trials, which is quite crucial for real world applications. In situated systems, robots bec ...

2007

The Cost of Reality: Effects of Real-World Factors on Multi-Robot Search

Alcherio Martinoli, James Pugh

Designing algorithms for multi-robot systems can be a complex and difficult process: the cost of such systems can be very high, collecting experimental data can be time consuming, and individual robots may malfunction, invalidating experiments. These const ...

2007

Evolution of cooperation in artificial ants

Markus Waibel

The evolution of cooperation is a fundamental and enduring puzzle in biology and the social sciences. Hundreds of theoretical models have been proposed, but empirical research has been hindered by the generation time of social organisms and by the difficul ...

EPFL2007

Intrinsic Motivation Systems for Autonomous Mental Development

Frédéric Kaplan

Exploratory activities seem to be intrinsicallyrewarding for children and crucial for their cognitive development. Can a machine be endowed with such an intrinsic motivation system? This is the question we study in this paper, presenting a number of comput ...

2007

ASEBA, an event-based middleware for distributed robot control

Francesco Mondada, Stéphane Magnenat, Valentin Longchamp

Computing infrastructures of mobile robots have grown in complexity in the last decades; They have evolved from single processor systems to networks of microcontrollers communicating through a shared bus. This has induced additional architectural constrain ...

IEEE Press2007

Multi-Robot Learning with Particle Swarm Optimization

Alcherio Martinoli, James Pugh

We apply an adapted version of Particle Swarm Optimization to distributed unsupervised robotic learning in groups of robots with only local information. The performance of the learning technique for a simple task is compared across robot groups of various ...

2006

Do we want to share our lives and bodies with robots? A 2000 people survey

Kai Oliver Arras

For roughly two decades a new generation of robots, robotic prostheses and implantable devices is about to arise accompanied by great optimism that they will widely pervade our daily life in a near future. This paper presents the results from a survey on t ...

2005