The emergence of spatial immersive technologies allows new ways to collaborate remotely. However, they still need be studied and enhanced in order improve their effectiveness usability for collaborators. Remote Physical Collaborative Extended Reality (RPC-XR) consists solving augmented physical tasks with the help remote This paper presents our RPC-AR system a user study evaluating this during network hardware assembly task. Our offers verbal non-verbal interpersonal communication...

Numerical simulations play more and important role in product development cycles are increasingly complex, realistic varied.CAD models must be adapted to each simulation case ensure the quality reliability of results.The defeaturing is one key steps for preparing digital model a simulation.It requires great skill deep expertise foresee which features have preserved can simplified.This often not well developed strongly depends context.In this paper, we propose an approach that uses machine...

Building Information Modelling (BIM) is an up-and-coming methodology and technology used in the Architecture, Engineering Construction (AEC) industry, that allows data centralization stakeholders' collaboration. But to check accuracy of work done on worksite, it necessary first go site then modify BIM model. This paper presents a mixed reality (MR) application based drone videos, allowing off-site construction supervision. It permits make annotations about differences between what has been...

Virtual reality (VR) is a computer-based technology that can be used by professionals of many different fields to simulate an environment with high feeling presence and immersion. Nonetheless, one main issue when designing such environments provide user interactions are adapted the tasks performed users. Thus, we propose here task-centred methodology design evaluate these interactions. Our allows for determination interaction designs based on previous VR studies, evaluations task-related...

This paper investigates the potential of Deep Learning (DL) for data-driven topology optimization (TO). Unlike rest literature that mainly applies DL to TO from a mechanical perspective, we developed an original approach integrate and geometrical constraints simultaneously. Our takes as input (Boundary conditions, loads configuration, volume fraction) alongside ones (total number elements, minimum overhang, maximum length, thickness) generates 2D design complying with these constraints....

We build an original synthetic dataset of 2D mechanical designs alongside their and geometric constraints, GMCAD. Such a allows training Deep Learning (DL) models for Design Additive Manufacturing (DfAM) to incorporate control Computer-Aided-Design (CAD) features with performance. Geometric AM constraints are often complex describe, depending on applications, processes, materials. They lack explicit mathematical descriptions, belong exclusively the CAD world, hardly can be integrated into...

Despite the freedom Additive Manufacturing (AM) offers when manufacturing organic shapes, it still requires some geometrical criteria to avoid a part's collapse during printing. The most synergetic design approach AM is Topology Optimization (TO), which finds an optimal free-form given mechanical constraints. However, hard for TO integrate these layout geometry-related constraints and seldom proposes printable shapes. Therefore, this work leverages Deep Learning (DL) capability handle...

Augmented Reality (AR) enhances the comprehension of complex situations by making handling contextual information easier. Maintenance activities in aeronautics consist tasks carried out on various high-technology products under severe constraints from sector and work environment. AR tools appear to be a potential solution improve interactions between workers technical data increase productivity quality aeronautical maintenance activities. However, assessments actual impact industrial...

This paper adresses the way machine learning techniques based on neural networks can be used to predict impact of simplification processes CAD model for heat transfer FEA purposes.

Worldwide, stroke is the third cause of disability.The majority people affected by this disease cannot perform activities daily living.Bringing therapy to patients' home complex, and in literature, there are still open challenges face.Starting from therapists' needs, paper describes a possible solution: HANDY, rehabilitative active hand exoskeleton for post-stroke patients.With desktop application, they three different types exercises: passive, based on living.They can also control...

Nowadays, virtual reality (VR) is widely used in the AEC (architecture, engineering and construction) industry. One crucial issue how to reuse Building Information Modeling (BIM) models VR applications. This paper presents an approach for a smart adaptation of BIM using scene, by following needs expressed building projects actors. The main consists filtering data keep necessary ones VR, according user objectives. Moreover, system should be chosen taking into account purpose usage model....

Mechanical product engineering often must comply with manufacturing or geometric constraints related to the shaping process. design hence should rely on robust and fast tools explore complex shapes, typically for additive (DfAM). Topology optimization is such a powerful tool, yet integrating (shape-related) into it hard. In this work, we leverage machine learning capability handle spatial correlations integrate mechanical process geometry-related at conceptual level. More precisely,...