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Learning From Humans

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Dynamical System Modulation for Robot Learning via Kinesthetic Demonstrations

Aude Billard, Sylvain Calinon, Micha Hersch

We present a system for robust robot skill acquisition from kinesthetic demonstrations. This system allows a robot to learn a simple goal-directed gesture, and correctly reproduce it despite changes in the initial conditions, and perturbations in the envir ...

2008

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

Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques which allow robots to evolve their own controllers in an automated fashion. In multi-robot ...

2007

Intrinsically motivated machines

Frédéric Kaplan

Children seem intrinsically motivated to manipulate, to explore, to test, to learn and they look for activities and situations that provide such learning opportunities. Inspired by research in developmental psychology and neuroscience, some researchers hav ...

Springer Verlag2007

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

Behaviour design in microrobots

Masoud Asadpour

In order to verify models of collective behaviors of animals, robots could be manipulated to implement the model and interact with real animals in a mixed-society. This thesis describes design of the behavioral hierarchy of a miniature robot, that is able ...

EPFL2006

Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

Alexandre Massoud Alahi, Yuejiang Liu, Sven Kreiss, Changan Chen

Mobility in an effective and socially-compliant manner is an essential yet challenging task for robots operating in crowded spaces. Recent works have shown the power of deep reinforcement learning techniques to learn socially cooperative policies. However, ...

IEEE0