Passive Interaction Control With Dynamical Systems

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As the field of ethology advances, especially over the past two decades, the role of animal-robot interaction tools has increasingly become essential. This importance arises from the need for controlled, repetitive, repeatable, and long-duration experiment ...

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 ...

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 ...

During reaching actions, the human central nerve system (CNS) generates the trajectories that optimize effort and time. When there is an obstacle in the path, we make sure that our arm passes the obstacle with a sufficient margin. This comfort margin varie ...

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 ...

Haptic perception of softness is a unique feature of the human skin that relies on the concurrent measurements of the lateral deformation and compression of the skin during object manipulation. This is challenging to implement in robotics because of combin ...

Multimodal unmanned aerial vehicles (UAVs) are rarely capable of more than two modalities, i.e., flying and walking or flying and perching. However, being able to fly, perch, and walk could further improve their usefulness by expanding their operating enve ...

Model-based reinforcement learning for robot control offers the advantages of overcoming concerns on data collection and iterative processes for policy improvement in model-free methods. However, both methods use exploration strategy relying on heuristics ...

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 ...

Soft robotics requires effective tools to educate the next generation of engineers and researchers. Stemming from a lack of universally accepted principles for education and with high barriers to entry in terms of fabrication and hardware, education to dat ...

This paper proposes, for the first time, a compact model for avalanche noise diodes that can easily be inserted in advanced CAD tools. The model is based on the theory of the Read type microwave avalanche diodes. It fully accounts for the electronic tuning ...

Passive Interaction Control With Dynamical Systems

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Challenges and approaches in bridging the biomimicry gap in biohybrid systems of fish and robots

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

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

Inferring individual evaluation criteria for reaching trajectories with obstacle avoidance from EEG signals

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

Liquid Metal-Based Sensor Skin Enabling Haptic Perception of Softness

Avian-Inspired Claws Enable Robot Perching or Walking

Exploration-based model learning with self-attention for risk-sensitive robot control

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

Accessible Soft Robotics Education with Re-configurable Balloon Robots

Avalanche noise diodes: A compact circuit model compatible with advanced CAD tools