232 research outputs found
Challenges in Collaborative HRI for Remote Robot Teams
Collaboration between human supervisors and remote teams of robots is highly
challenging, particularly in high-stakes, distant, hazardous locations, such as
off-shore energy platforms. In order for these teams of robots to truly be
beneficial, they need to be trusted to operate autonomously, performing tasks
such as inspection and emergency response, thus reducing the number of
personnel placed in harm's way. As remote robots are generally trusted less
than robots in close-proximity, we present a solution to instil trust in the
operator through a `mediator robot' that can exhibit social skills, alongside
sophisticated visualisation techniques. In this position paper, we present
general challenges and then take a closer look at one challenge in particular,
discussing an initial study, which investigates the relationship between the
level of control the supervisor hands over to the mediator robot and how this
affects their trust. We show that the supervisor is more likely to have higher
trust overall if their initial experience involves handing over control of the
emergency situation to the robotic assistant. We discuss this result, here, as
well as other challenges and interaction techniques for human-robot
collaboration.Comment: 9 pages. Peer reviewed position paper accepted in the CHI 2019
Workshop: The Challenges of Working on Social Robots that Collaborate with
People (SIRCHI2019), ACM CHI Conference on Human Factors in Computing
Systems, May 2019, Glasgow, U
Synthesis of Isocoumarin via PTSA-Catalyzed Annulation of Diarylalkynes
International audiencep-Toluenesulfonic acid (PTSA) in EtOH was used as a mild acid-catalyst for the annulation of various functionalized diarylalkynes under microwave irradiation. This free-metal process allowed the synthesis of a range of 3-arylsubstituted isocoumarins in good yields
Visualising COVID-19 Research
The world has seen in 2020 an unprecedented global outbreak of SARS-CoV-2, a
new strain of coronavirus, causing the COVID-19 pandemic, and radically
changing our lives and work conditions. Many scientists are working tirelessly
to find a treatment and a possible vaccine. Furthermore, governments,
scientific institutions and companies are acting quickly to make resources
available, including funds and the opening of large-volume data repositories,
to accelerate innovation and discovery aimed at solving this pandemic. In this
paper, we develop a novel automated theme-based visualisation method, combining
advanced data modelling of large corpora, information mapping and trend
analysis, to provide a top-down and bottom-up browsing and search interface for
quick discovery of topics and research resources. We apply this method on two
recently released publications datasets (Dimensions' COVID-19 dataset and the
Allen Institute for AI's CORD-19). The results reveal intriguing information
including increased efforts in topics such as social distancing; cross-domain
initiatives (e.g. mental health and education); evolving research in medical
topics; and the unfolding trajectory of the virus in different territories
through publications. The results also demonstrate the need to quickly and
automatically enable search and browsing of large corpora. We believe our
methodology will improve future large volume visualisation and discovery
systems but also hope our visualisation interfaces will currently aid
scientists, researchers, and the general public to tackle the numerous issues
in the fight against the COVID-19 pandemic.Comment: 11 pages. 10 figures. Preprint paper made available here prior to
submission. Update: special characters correcte
La question de la modélisation en sciences humaines : mathématiques et informatique
Jean Petitot, Marc Barbut, Georges Guilbaud, Hervé Le Braset Pierre Rosenstiehl, directeurs d’étudesavec Jean-Pierre Desclés, professeur à l’Université de Paris-IV Enseignement suspendu durant l’année universitaire 2000-2001
Near-Fatal Multiple Organ Dysfunction Syndrome Induced by Plasmodium malariae
International audienc
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