MétaCan
Menu
Retour à la cohorte
Enregistrement W4200128490 · doi:10.1108/ir-12-2021-0283

The Pransky interview: Dr Raffaello D’Andrea, Founder, CEO, and Chairman of the board at Verity; Entrepreneur; Professor; Scientist and Artist

2021· article· en· W4200128490 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueIndustrial Robot the international journal of robotics research and application · 2021
Typearticle
Langueen
DomaineEngineering
ThématiqueAdvanced Manufacturing and Logistics Optimization
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésManagementMedalArtificial intelligenceCommercializationEngineeringSociologyPolitical scienceArt historyComputer scienceArtLaw

Résumé

récupéré en direct d'OpenAlex

Purpose The following article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD and inventor regarding his pioneering efforts and the commercialization of bringing a technological invention to market. This paper aims to discuss these issues. Design/methodology/approach The interviewee is Dr Raffaello D’Andrea, a highly successful entrepreneur and proven business leader and one of the world’s foremost leaders in robotics and machine learning. D’Andrea is Founder, CEO and Chairman of the Board at Verity, the world’s leading autonomous indoor drone company, as well as a Professor of Dynamic Systems and Control at the Swiss Federal Institute of Technology (ETH) in Zurich. D’Andrea is also one of the co-founders and advisors of Robo-Global, an index and research company focused on investments in robotics, automation and artificial intelligence. In this interview, D’Andrea shares some of his business and personal experiences of working in industry and academia and his criteria for turning his ideas into successful working systems. Findings Raffaello D’Andrea’s entire career is built on his ability to bridge theory and practice. D’Andrea combined his love for science with his need to create and received a BS degree in engineering science at the University of Toronto, where he was awarded the Wilson Medal as the top graduating student in 1991. He obtained both his MS and PhD degrees in electrical engineering at Caltech, and then he joined the Cornell faculty as an assistant professor. While on leave from Cornell, from 2003 to 2007, he co-founded the disruptive warehouse automation company Kiva Systems, where he led the systems architecture, robot design, robot navigation and coordination, and control algorithms efforts. In 2014, D’Andrea took robotics technology into the air and founded Verity, the world’s first company to deliver a fully integrated autonomous, indoor drone-based system solution. Originality/value Raffaello D’Andrea combines academia, business and the arts to reinvent autonomous systems. D’Andrea was a founding member of the Systems Engineering Program at Cornell, where he established robot soccer as the flagship, multidisciplinary team project. In addition to pioneering the use of semi-definite programming for the design of distributed control systems, he went on to lead the Cornell Robot Soccer Team to win four world international RoboCup championships. Kiva Systems, co-founded by D’Andrea and acquired by Amazon in 2012, helped the re-branded Amazon Robotics to disrupt the entire warehousing and logistics systems industry. Additionally, D’Andrea is an internationally-exhibited new media artist, best known for the Robotic Chair (Ars Electronica, ARCO, London Art Fair, National Gallery of Canada) and Flight Assembled Architecture (FRAC Centre). With his team at Verity, he created the drone design and choreography for Cirque Du Soleil’s Paramour on Broadway, Metallica’s WorldWired Tour and Céline Dion’s Courage Tour. Other D’Andrea creations include the Flying Machine Arena, where flying robots perform aerial acrobatics, juggle balls, balance poles and cooperate to build structures; the Distributed Flight Array, a flying platform consisting of multiple autonomous single propeller vehicles that are able to drive, dock with their peers and fly in a coordinated fashion; the Balancing Cube, a dynamic sculpture that can balance on any of its edges or corners and its little brother Cubli, a small cube that can jump up, balance and walk; Blind Juggling Machines that can juggle balls without seeing them, and without catching them. D’Andrea is also collaborating with scientists, engineers, and wingsuit pilots to create an actively controlled suit that will allow humans to take off and land at will, to gain altitude, even to perch, while preserving the intimacy of wingsuit flight. D’Andrea has received the IEEE Robotics and Automation Award, the Engelberger Robotics Award, the IEEE/IFR Invention and Entrepreneurship Award in Robotics and Automation and the Presidential Early Career Award for Scientists and Engineers. In 2020, he was inducted in the National Inventors Hall of Fame and elected to the National Academy of Engineering.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,651
Score d'incertitude au seuil0,261

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,060
Tête enseignante GPT0,321
Écart entre enseignants0,260 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle