CAT | ESP | ENG

Projects

Lab projects are located at the intersection of data, AI, electronics, control, and prototyping. Some are ongoing developments, others are prototypes, proofs of concept, or lines of technical exploration. The goal of this section is to show not only final results but also approaches, methodologies, and work directions.

Active Projects

Ongoing developments aimed at building tools, prototypes, or systems with real-world application. Depending on the case, they may include data acquisition, analysis, AI, electronics, visualization, or integration with physical environments.

[SOF]

Software-hardware integration

Construction of prototypes where sensors, electronics, and software work together to validate an architecture or functionality.
(Traduccions automàtiques dels projectes pendents de configurar WP)
[INT]

Intelligent systems for technical support

Exploration of AI-based tools to interpret information, support technical processes, or detect patterns in experimental data.
(Traduccions automàtiques dels projectes pendents de configurar WP)
[TEL]

Telemetry and data acquisition

Development of platforms to capture real-time variables, log and structure them for subsequent analysis, visualization, or technical validation.
(Traduccions automàtiques dels projectes pendents de configurar WP)

Prototypes and experiments

Space dedicated to proofs of concept, preliminary systems, and exploratory developments. This part of the Lab allows experimenting with architectures, components, and workflows before a possible evolution towards a more mature implementation.

Examples of prototyping lines:

  • sensor data reading and processing
  • technical visualization and monitoring
  • process automation
  • test embedded systems
  • experimental analysis tools
  • integration between control, software, and physical environment

Lines of exploration

In addition to ongoing projects, the Lab keeps several lines of technical interest open that may lead to future prototypes or collaborations. These lines may include:

Advanced data processing
AI applied to physical systems
Instrumentation and telemetry
Tools for monitoring and diagnosis
Vehicle and motorsport applications
Simulation, validation, and technical support

Way of working

Projects are approached from a technical chain logic:

capture → processing → analysis → model → integration → validation

This approach allows moving from a concrete idea or need to a first technical implementation with experimental criteria.