Division of Labour in Self-Organised Groups

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Order, regularities, and patterns are ubiquitous around us. A flock of birds maneuvering in the sky, the self-organization of social insects, a global pandemic or a traffic jam are examples of complex systems where the macroscopic patterns arise from the m ...

Robot motor skills can be acquired by deep reinforcement learning as neural networks to reflect state-action mapping. The selection of states has been demonstrated to be crucial for successful robot motor learning. However, because of the complexity of neu ...

Handwriting practising, as any other repetitive task, often leads the practiser to an overconcentration state where their performance might be affected by postural and mental fatigue. Short breaks to perform unrelated activities, especially relaxation exer ...

There is a growing trend towards designing learning activities featuring robots as collaborative exercises where children work together to achieve the activity objectives, generating interactions that can trigger learning processes. Witnessing such activit ...

This paper describes the first steps of an ongoing participatory design with teachers from Switzerland to co-create Human-Robot Interaction setups for integrating children with migration history. The herein presented phase had two main goals: (i) initially ...

Reciprocal Peer Tutoring (RPT) is a learning paradigm characteristic of collaborative interaction between learners with alternating tutortutee roles. In recent years, robot-assisted language learning (RALL) has gained traction by its wide application for l ...

Programming intelligent robots requires robust controllers that can achieve desired tasks while adapting to the changes in the task and the environment. In this thesis, we address the challenges in designing such adaptive and anticipatory feedback controll ...

Novel technologies, fabrication methods, controllers and computational methods are rapidly advancing the capabilities of soft robotics. This is creating the need for design techniques and methodologies that are suited for the multi-disciplinary nature of s ...

Computers have long been augmenting human capabilities and communication, and with emerging technologies, physical immersion in virtual worlds is now attainable. These advancements push the boundaries of human potential, allowing designers, architects, eng ...

Shape-changing robots adapt their own morphology to address a wider range of functions or environments than is possible with a fixed or rigid structure. Akin to biological organisms, the ability to alter shape or configuration emerges from the underlying m ...

The thesis at hand is concerned with robots' navigation in human crowds. Specifically, methods are developed for planning a mobile robot's local motion between pedestrians, and they are evaluated in experiments where a robot interacts with real pedestrians ...

Division of Labour in Self-Organised Groups

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Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

Identifying important sensory feedback for learning locomotion skills

Immediate effects of short-duration wellbeing practices on children’s handwriting and posture guided by a social robot

Computational Models of Mutual Understanding for Human-Robot Collaborative Learning

Teacher's Perception on Social Robots to Promote the Integration of Children with Migration Background

Language Learning using Caption Generation within Reciprocal Multi-Party Child-Tutor-Tutee Interaction

Learning and optimization of anticipatory feedback controllers for robot manipulation

The science of soft robot design: A review of motivations, methods and enabling technologies

Human Interactive Robotic Surfaces for Physical Immersion

Morphological flexibility in robotic systems through physical polygon meshing

Geometric and Learning Methods for Robots to Navigate in Human Crowds with Application to Smart Mobility Devices