IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC: Enviaments recents
Ara es mostren els items 1-12 de 1071
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The inverse kinematics of lobster arms
(2024-03-21)
Article
Accés obertThe roots of the closure polynomial associated with a given mechanism determine its assembly modes. In the case of 6R closed-loop mechanisms, these polynomials are usually expressed in the half-angle tangent of one of its ... -
PoseFix: correcting 3D human poses with natural language
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Text en actes de congrés
Accés obertAutomatically producing instructions to modify one’s posture could open the door to endless applications, such as personalized coaching and in-home physical therapy. Tackling the reverse problem (i.e., refining a 3D pose ... -
Introducing social robots to assess frailty in older adults
(2024)
Comunicació de congrés
Accés obertFrailty is a crucial indicator in determining the well-being of older adults in terms of their health. With the growing number of elderly people, the demand for geriatricians is increasing, which means that they have less ... -
Adaptive human-robot collaboration: evolutionary learning of action costs using an action outcome simulator
(2023)
Text en actes de congrés
Accés obertOne of the main challenges for successful human- robot collaborative applications lies in adapting the plan to the human agent’s changing state and preferences. A promising solution is to bridge the gap between agent ... -
Model predictive control of urban drainage systems considering uncertainty
(2023-11)
Article
Accés obertThis brief contributes to the application of model predictive control (MPC) to address the combined sewer overflow (CSO) problem in urban drainage systems (UDSs) with uncertainty. In UDS, dealing with uncertainty in rain ... -
Eduquem les criatures... també les artificials!
(2023-04-01)
Article
Accés obertArtificial és tot allò creat pels humans, ja siguin objectes d’artesania com enginys fruit de la tecnologia. Malgrat l’antiguitat dels productes artificials i de la utilització d’eines per construir-los, no és fins a ... -
Desplegament ètic de la robòtica assistencial per a un envelliment saludable i sostenible
(2023-09)
Capítol de llibre / Text en actes de congrés
Accés obertEn capítols anteriors s’ha parlat de l’envelliment des del punt de vista mèdic i farmacològic; aquí s'abordarà des del punt de vista tecnològic. Es descriuran tecnologies que poden ajudar els cuidadors a tenir cura de les ... -
Collocation methods for second and higher order systems
(2023-02-01)
Article
Accés obertIt is often unnoticed that the predominant way to use collocation methods is fundamentally flawed when applied to optimal control in robotics. Such methods assume that the system dynamics is given by a first order ODE, ... -
Robótica assistencial: una aposta per l'envelliment saludable i sostenible
(Fundació Víctor Grifols i Lucas, 2023)
Capítol de llibre
Accés obertLa població de més de 65 anys ha augmentat de manera progressiva en les darreres dècades i els estudis prospectius avisen que continuarà creixent de manera cada vegada més accelerada. La tecnologia pot contribuir tant a ... -
Humans i robots: ¿qui modela qui?
(2023)
Article
Accés obertEn un futur ben proper, els robots socials, que avui són objecte d’intensa investigació, sens dubte ens modelaran. Individualment i com a societat. Això ens obliga a preparar-nos per respondre moltes qüestions, principalment ... -
A hybrid control-oriented PEMFC model based on echo state networks and gaussian radial basis functions
(2024-01-01)
Article
Accés obertThe goal of increasing efficiency and durability of fuel cells can be achieved through optimal control of their operating conditions. In order to implement such controllers, accurate and computationally efficient fuel cell ... -
Heteroscedastic Gaussian processes and random features: scalable motion primitives with guarantees
(Proceedings of Machine Learning Research (PMLR), 2023)
Text en actes de congrés
Accés obertHeteroscedastic Gaussian processes (HGPs) are kernel-based, non-parametric models that can be used to infer nonlinear functions with time-varying noise. In robotics, they can be employed for learning from demonstration as ...
