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Energy Efficient Swarm Deployment for Search in Unknown Environments

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Elephants and other animals heavily rely on the sense of smell to operate. Soft robots would also benefit from an artificial sense of smell, which could be helpful in typical soft robotic tasks such as search and rescue, pipe inspection, and all the tasks ...

IEEE2023

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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 ...

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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 ...

FRONTIERS MEDIA SA2023

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EPFL2023

Identifying important sensory feedback for learning locomotion skills

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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 ...

NATURE PORTFOLIO2023

Vision-based Flocking in Aerial Robot Swarms

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Aerial robot swarms have the potential to perform time-critical and dangerous tasks such as disaster response without compromising human safety. However, their reliance on external infrastructure such as global positioning for localization and wireless net ...

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An optimal planning algorithm enables swarms of flying robots to explore unknown environments autonomously and safely. ...

2022

Model Predictive Control of Aerial Swarms

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Aerial robot swarms can have a large socio-economic impact. They can perform time-critical missions faster than a single robot and access dangerous environments without compromising human safety. However, swarm deployment is often limited to free environme ...

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MIT Press2022

A Case for the Design of Attention and Gesture Systems for Social Robots

Romain Maure, Utku Norman, Erik Alessandro Wengle, Barbara Bruno, Daniel Carnieto Tozadore

The success of social robots, even (or, especially) in use cases as simple as "manning" a booth to promote a product in a shopping mall, depends on their ability of interacting with humans in a timely, effective and enjoyable way. In this paper we present ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

The role of feedback and guidance as intervention methods to foster computational thinking in educational robotics learning activities for primary school

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Computational thinking (CT) is considered an emerging competence domain linked to 21st-century competences, and educational robotics (ER) is increasingly recognised as a tool to develop CT competences. This is why researchers recommend developing intervent ...

2022

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Auke Ijspeert, Jonathan Patrick Arreguit O'Neill, Wei Wang, Emmanouil Angelidis

Physical simulation is an indispensable component of robotics simulation platforms that serves as the basis for a plethora of research directions. Looking strictly at robotics, the common characteristic of the most popular physics engines, such as ODE, DAR ...

IEEE2022