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We consider an imitation learning approach to model robot point-to-point (also known as discrete or reaching) movements with a set of autonomous Dynamical Systems (DS). Each DS model codes a behavior (such as reaching for a cup and swinging a golf club) at ...
Interactive learning deals with the problem of learning and solving tasks using human instructions. It is common in human-robot interaction, tutoring systems, and in human-computer interfaces such as brain-computer ones. In most cases, learning these tasks ...
In research of human-robot interactions, human likeness (HL) of robots is frequently used as an individual, vague parameter to describe how a robot is perceived by a human. However, such a simplification of HL is often not sufficient given the complexity a ...
In this research we aim at proposing a general novel walking method for locomotion of torque controlled robots. The method should be able to produce a wide range of speeds without requiring off-line optimizations and re-tuning of parameters. It should be ca ...
Biped locomotion has been extensively studied using various approaches, including Passive Dynamic Walking, ZMP-based control and biologically inspired muscle models. In biped locomotion robotics, there has been an increasing interest in variable impedance ...
In this paper we propose a general control framework for ensuring stability of humanoid robots, determined through a normalized zero-moment-point (ZMP). The proposed method is based on the modified prioritized kinematic control, which allows smooth and con ...
Domestic service robots are nowadays widely available on the consumer market. As such, robots have begun entering people’s homes and daily lives. However, it seems that the dissemination of domestic robots has not happened as easily and widespread as it wa ...
Direct transfer of human motion trajectories to humanoid robots does not result in dynamically stable robot movements due to the differences in human and humanoid robot kinematics and dynamics. We developed a system that converts human movements captured b ...
Over the last five years, and while developing an architecture for autonomous service robots in human environments, we have identified several key decisional issues that are to be tackled for a cognitive robot to share space and tasks with a human. We intr ...
Robot Learning from Demonstration (RLfD) has been identified as a key element for making robots useful in daily lives. A wide range of techniques has been proposed for deriving a task model from a set of demonstrations of the task. Most previous works use ...
