The embodiment of cockroach aggregation behavior in a group of micro-robots

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Robots operating in extreme outdoor environments face hazardous terrain, unpredictable conditions, and the need for long-term robust operation with minimal human intervention. This thesis proposes a shift from traditional, perception-heavy systems toward r ...

The deployment of assistive robotics technologies in human environments is often hindered by the diverse personalization requirements of individual users. A promising solution to this challenge is shared autonomy, enabling collaboration between robots and ...

Rehabilitation robotics aims to promote activity-dependent reorganization of the nervous system. However, people with paralysis cannot generate sufficient activity during robot-assisted rehabilitation and, consequently, do not benefit from these therapies. ...

Artificial skins are essential for bridging sensory gaps between robots and environments, enabling natural and intuitive interactions. While artificial skins can sense stimuli like pressure and stretchability, their capabilities need to be expanded into ch ...

This article summarizes the recent advancements in the design, fabrication, and control of microrobotic devices for the diagnosis and treatment of brain disorders. With a focus on diverse actuation methods, we discuss how advancements in materials science ...

Modular robotics link the reliability of a centralised system with the adaptivity of a decentralised system. It is difficult for a robot with a fixed shape to be able to perform many different types of tasks. As the task space grows, the number of functi ...

Edible robots and robotic food — edible systems that perceive, process and act upon stimulation — could open a new range of opportunities in health care, environmental management and the promotion of healthier eating habits. For example, they could enable ...

Beliefs inform the behaviour of forward-thinking agents in complex environments. Recently, sequential Bayesian inference has emerged as a mechanism to study belief formation among agents adapting to dynamical conditions. However, we lack critical theory to ...

Social insects, such as ants, termites, and honeybees, have evolved sophisticated societies where the collaborative efforts of "simple" individuals can lead to the emergence of complex dynamics. The reliance of each organism on the collective is so great t ...

The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate. The prevailing challenge in live-cell fluorescence microscopy is capturing intra-cellular dynamics while preservi ...

Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...

Distributed learning is the key for enabling training of modern large-scale machine learning models, through parallelising the learning process. Collaborative learning is essential for learning from privacy-sensitive data that is distributed across various ...

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 ...

The collective behavior of animals has been traditionally studied through observation, quantitative models of behavior, and devices of low intelligence. Nowadays, the advancements in the field of robotics allow for closed-loop experiments that occur in rea ...

Robotic technologies have shown the capability to interact with living organisms and even to form integrated mixed societies composed of living and artificial agents. Biocompatible robots, incorporating sensing and actuation capable of generating and respo ...

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 ...

In this article, a novel approach to enhance the maneuverability and adaptability of legged robots in challenging environments is proposed. This approach involves the integration of soft inflatable sensing skin, which provides additional mobile modes and e ...

Biomimetic and bioinspired design is not only a potent resource for roboticists looking to develop robust engineering systems or understand the natural world. It is also a uniquely accessible entry point into science and technology. Every person on Earth c ...

This year's conference theme "HRI for all" not just raises the importance of reflecting on how to promote inclusion for every type of user but also calls for careful consideration of the different layers of people potentially impacted by such systems. In e ...

Fully exploiting soft robots' capabilities requires devising strategies that can accurately control their movements with the limited amount of control sources available. This task is challenging for reasons including the hard-to-model dynamics, the system' ...

The embodiment of cockroach aggregation behavior in a group of micro-robots

Chattez avec Graph Search

(Un)leashed Robots Leverage Environmental Constraints and Compliant Interactions To Explore Extreme Environments

Towards Accessible and Intuitive Shared Autonomy

Augmenting rehabilitation robotics with spinal cord neuromodulation: A proof of concept

An optical/electronic artificial skin extends the robotic sense to molecular sensing

Small-scale robotic devices for medical interventions in the brain

Memento Mori: Reliable robustness in self-reconfigurable modular robots

Towards edible robots and robotic food

Stochastic pairwise preference convergence in Bayesian agents

A Biohybrid Superorganism - Investigating honeybees' collective behaviors via interactive robotics

Live-cell imaging powered by computation

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

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

A biohybrid interaction framework for the integration of robots in animal societies

A robotic honeycomb for interaction with a honeybee colony

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

Environmental Adaptability of Legged Robots with Cutaneous Inflation and Sensation

The Natural Robotics Contest: crowdsourced biomimetic design

Robots for Learning 7 (R4L): A Look from Stakeholders' Perspective

A Provably Stable Iterative Learning Controller for Continuum Soft Robots