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Designing optimal soft modular robots is difficult, due to non-trivial interactions between morphology and controller. Evolutionary algorithms (EAs), combined with physical simulators, represent a valid tool to overcome this issue. In this work, we investi ...

Association for Computing Machinery2021

Multi-robot task allocation for safe planning against stochastic hazard dynamics

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Humans exhibit outstanding learning and adaptation capabilities while performing various types of manipulation tasks. When learning new skills, humans are able to extract important information by observing examples of a task and efficiently refine a priori ...

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mobile robots moving on a flat surface that are preforming cooperative localization (CL). We consider a scenario in which due to the limited on-board resources such as battery life a ...

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With advances in the field of robotic manipulation, sensing and machine learning, robotic chefs are expected to become prevalent in our kitchens and restaurants. Robotic chefs are envisioned to replicate human skills in order to reduce the burden of the co ...

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Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

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An Exploration of Online Parallel Learning in Heterogeneous Multi-Robot Swarms

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Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Multi-robot task allocation for safe planning against stochastic hazard dynamics

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

Robot skills learning with Riemannian manifolds: Leveraging geometry-awareness in robot learning, optimization and control

A Distributed Source Term Estimation Algorithm for Multi-Robot Systems

An Institutional Approach to Normative Distributed Robotics for Mixed Societies of Humans and Robots

Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model

Improving robotic cooking using batch bayesian optimization

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

Robot skills learning with Riemannian manifolds: Leveraging geometry-awareness in robot learning, optimization and control

Multi-robot task allocation for safe planning against stochastic hazard dynamics

Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model

A Distributed Source Term Estimation Algorithm for Multi-Robot Systems

An Institutional Approach to Normative Distributed Robotics for Mixed Societies of Humans and Robots

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions

Improving robotic cooking using batch bayesian optimization