Special Issue on Adaptive Motion of Animals and Machines PREFACE

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In order to collaborate with humans, robots are often provided with a Theory of Mind (ToM) architecture. Such architectures can be evaluated by humans perception of the robot's adaptations. However, humans sensitivities to these adaptations are not the one ...

Compliance has become a key requirement for robots meant to interact with humans. It is viewed as a necessary property to increase safety and efficiency in human-robot cooperative actions. In humans, compliance takes three dimensions: mechanical, cognitive ...

Object manipulation is a challenging task for robotics, as the physics involved in object interaction is complex and hard to express analytically. Here we introduce a modular approach for learning a manipulation strategy from human demonstration. Firstly w ...

Technology is now an important part of our lives. We often see robots cited as the future of education, and reports of their imminent entrance in schools. New projects create buzz in the media and online, but when we look at the actual situation, very few ...

In the attempt to build adaptive and intelligent machines, roboticists have looked at neuroscience for more than half a century as a source of inspiration for perception and control. More recently, neuroscientists have resorted to robots for testing hypoth ...

We address the difficult problem of catching in-flight objects with uneven shapes. This requires the solution of three complex problems: accurate prediction of the trajectory of fastmoving objects, predicting the feasible catching configuration, and planni ...

This paper proposed a fuzzy controller for the autonomous navigation problem of robotic systems in a dynamic and uncertain environment. In particular, we are interested in determining the robot motion to reach the target while ensuring their own safety and ...

The design of high-performing robotic controllers constitutes an example of expensive optimization in uncertain environments due to the often large parameter space and noisy performance metrics. There are several evaluative techniques that can be employed ...

A frequent method for taking into account the partially observable nature of an environment in which robots interact lies in formulating the problem domain as a Partially Observable Markov Decision Process (POMDP). By having humans demonstrate how to act i ...

Little is known about the usage, adoption process and long-term effects of domestic service robots in people’s homes. We investigated the usage, acceptance and process of adoption of a vacuum cleaning robot in nine households by means of a six month ethnog ...

Special Issue on Adaptive Motion of Animals and Machines PREFACE

Chat with Graph Search

Sensitivity To Perceived Mutual Understanding In Human-Robot Collaborations

On the mechanical, cognitive and sociable facets of human compliance and their robotic counterparts

A modular approach to learning manipulation strategies from human demonstration

Thymio : a holistic approach to designing accessible educational robots

Robotics and Neuroscience

Catching Objects in Flight

Fuzzy Control System for Autonomous Navigation and Parking of Thymio II Mobile Robots

A Comparison of PSO and Reinforcement Learning for Multi-Robot Obstacle Avoidance

Learning search behaviour from humans

Living With a Vacuum Cleaning Robot - A 6-month Ethnographic Study