Safe contact-based robot active search using Bayesian optimization and control barrier functions.

In robotics, active exploration and learning in uncertain environments must take into account safety, as the robot may otherwise damage itself or its surroundings. This paper presents a method for safe active search using Bayesian optimization and control barrier functions. As robot paths undertaken during sampling are continuous, we consider an informative continuous expected improvement acquisition function.

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Solitary fibrous tumours (SFT) are rare soft tissue tumours with a primarily benign course. Complete surgical resection is the mainstay treatment. In this case report, a 75-year-old man had a massive intrathoracic SFT which was subsequently surgically resected without complications.

Robotic Assembly of Timber Structures in a Human-Robot Collaboration Setup.

The construction sector is investigating wood as a highly sustainable material for fabrication of architectural elements. Several researchers in the field of construction are currently designing novel timber structures as well as novel solutions for fabricating such structures, i.e.

Quick Setup of Force-Controlled Industrial Gluing Tasks Using Learning From Demonstration.

This paper presents a framework for programming in-contact tasks using learning by demonstration. The framework is demonstrated on an industrial gluing task, showing that a high quality robot behavior can be programmed using a single demonstration. A unified controller structure is proposed for the demonstration and execution of in-contact tasks that eases the transition from admittance controller for demonstration to parallel force/position control for the execution.

A unique case of Fusobacterium nucleatum spondylodiscitis communicating with a pleural empyema through a fistula.

Species (spp.) belonging to the genus Fusobacterium are anaerobic commensals colonizing the upper respiratory tract, the gastrointestinal tract, and the genitals. Infections with Fusobacterium spp.