Robotics researchers increasingly agree that ideas from biology and self-organization can
strongly benefit the design of autonomous robots. Biological organisms have evolved to …

This survey presents the most relevant neural network models of autism spectrum disorder
and schizophrenia, from the first connectionist models to recent deep neural network …

A comprehensive overview of an interdisciplinary approach to robotics that takes direct
inspiration from the developmental and learning phenomena observed in children's …

This paper presents the design of the hydraulically actuated quadruped robot HyQ2Max.
HyQ2Max is an evolution of the 80 kg agile and versatile robot HyQ. Compared to HyQ, the …

This paper gives an overview on the torque-controlled humanoid robot TORO, which has
evolved from the former DLR Biped. In particular, we describe its mechanical design and …

Cognitive developmental robotics (CDR) aims to provide new understanding of how
human's higher cognitive functions develop by means of a synthetic approach that …

Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot
learning. To be effective, action learning should not be limited to direct replication of …

One of the hallmarks of the performance, versatility, and robustness of biological motor
control is the ability to adapt the impedance of the overall biomechanical system to different …

Impedance and Admittance Control are two distinct implementations of the same control
goal. It is well known that their stability and performance properties are complementary. In …

In this paper, we propose that experimental protocols involving artificial agents, in particular
the embodied humanoid robots, provide insightful information regarding social cognitive …