88 documents found, page 1 of 9
A novel human-centered methodology for assessing manual-to-collaborative safe c...
Cardoso, André; Colim, Ana; Bicho, Estela; Braga, Ana Cristina; Arezes, P.The Industry 5.0 paradigm places workers’ well-being and safety at the core of the production processes. Despite its objectives, the current industry still faces several challenges. Examples of these challenges include global market pressures for customized products, along with the significant occurrence of Work-Related Musculoskeletal Disorders and the ageing workforce. These challenges underscore the persiste...
Robust working memory in a two-dimensional continuous attractor network
Wojtak, Weronika; Coombes, Stephen; Avitabile, Daniele; Bicho, Estela; Erlhagen, WolframContinuous bump attractor networks (CANs) have been widely used in the past to explain the phenomenology of working memory (WM) tasks in which continuous-valued information has to be maintained to guide future behavior. Standard CAN models suffer from two major limitations: the stereotyped shape of the bump attractor does not reflect differences in the representational quality of WM items and the recurrent conn...
Solving neural field equations using physics informed neural networks
Wojtak, Weronika; Bicho, Estela; Erlhagen, WolframThis article presents an approach for solving neural field equations (NFEs) using Physics Informed Neural Networks (PINNs). NFEs are integro-differential equations describing the spatio-temporal dynamics of neuronal populations in the cortex. The traditional numerical methods for NFEs require significant computational effort due to the discretization of the spatial convolution. The proposed approach leverages F...
Adaptive timing in a dynamic field architecture for natural human–robot interac...
Wojtak, Weronika; Ferreira, Flora José Rocha; Louro, Luís; Bicho, Estela; Erlhagen, WolframA close temporal coordination of actions and goals is crucial for natural and fluent human–robot interactions in collaborative tasks. How to endow an autonomous robot with a basic temporal cognition capacity is an open question. In this paper, we present a neurodynamics approach based on the theoretical framework of dynamic neural fields (DNF) which assumes that timing processes are closely integrated with othe...
Impact of variable transformations on multiple regression models for enhancing ...
Ferreira, Flora; Barrios, Jhonathan; Barbosa, Paulo; Gago, Miguel F.; Bicho, Estela; Erlhagen, WolframGait analysis has become an important tool in clinical practice for monitoring disease progression and evaluating therapeutic interventions. However, a subject's gait characteristics can be affected by physical characteristics such as age and height, which can interfere with accurate comparisons between subjects. MLR normalization has been shown to be effective in reducing interference from subject-specific phy...
Navigation and docking maneuvers control of an autonomous omnidirectional platf...
Correia, João; Louro, Luís; Monteiro, Sérgio; Erlhagen, Wolfram; Bicho, EstelaThis paper presents a method to control and generate motion for omnidirectional mobile manipulators that operate in internal logistics scenarios. It proposes transport and maneuvering operations where human operators may coexist. Thus, to ensure that human operators can easily infer the vehicle's movements, the vehicle preferentially performs non-holonomic (i.e., like a differential drive vehicle), and only tak...
On the development of an ergonomic approach for the design of an industrial rob...
Colim, Ana S.; Cardoso, André; Bicho, Estela; Louro, Luís; Alves, Carla; Ribeiro, Pedro; Pereira, Débora; Monteiro, Sérgio; Costa, NélsonAs industries push for continuous technological innovation to boost their competitiveness, the need to balance techno-economical goals with emerging societal needs is now more pressing than ever. Inspired by the novel paradigm of Industry 5.0, we aim to place human physical and cognitive needs at the center of the production process, introducing proactive and human-aware robots capable of collaboration as co-wo...
A data recording mobile application to create datasets of vehicle users’ routines
Guimarães, Pedro; Ferreira, Flora; Silva, Ana Carolina; Erlhagen, Wolfram; Monteiro, Sérgio; Bicho, EstelaOne of today's automotive research focus is the development of vehicles for the future, with their own intelligence, aware of their occupants, able to give support to its users, striving for natural and efficient interaction, and giving rise to the concept of the cognitive vehicle. Furthermore, truly adaptive intelligence can be achieved with assistance systems capable of adapting to different drivers. Vehicles...
Quantitative gait analysis value as a predictor of shunt surgery effectiveness ...
Gago, Miguel F.; Ferreira, Flora; Bicho, EstelaIntroduction: Shunt surgery (SS) remains the most effective treatment for idiopathic Normal pressure hydro-cephalus (iNPH), but the selection of the patients with the greatest potential benefit remains elusive.Objective: Identify gait features predictive of best response to SS in iNPH.Methods: Eight patients with iNPH were assessed at baseline, after Cerebrospinal fluid tap-test (CSF-TT) and SS, with clinical s...
Statistical analysis on the human-likeness of 3D reaching movements in humanoid...
Silva, Eliana Costa e; Gulletta, Gianpaolo; Bicho, Estela; Erlhagen, WolframHuman-like motion is often considered a key feature for intuitive human-robot interactions. In fact, this feature allows human peers to easily predict the robot's intention, which is perfectly aligned with the paradigm of collaborative industries, contributing to more human-centric and resilient industries. The one-sixth power law (1/6-PL) is well known in human motor control. In this work, the Human-like Upper...