![Ingeniarius Ingeniarius](https://ingeniarius.pt/wp-content/uploads/2018/12/ReD.png)
R&D Service Provider
We offer a broad range of R&D services in most engineering-related topics; from robotics to sports engineering.
R&D Service Provider – More information? Contact Us!
R&D Service Provider
We offer a broad range of R&D services in most engineering-related topics; from robotics to sports engineering.
DESCRIPTION
Ingeniarius provides Research and development (R&D) services with the intent to promote original investigation or apply research findings to exploit specific engineering problems. We offer internal, external and even joint R&D services in the several fields of engineering, including robotics, mechatronics, automation, image processing, computer science, sports engineering, social engineering and others. Our R&D services include, but are not limited to:
– Software development and simulation;
– Design and development of new or improved technologies, including CAD;
– Improvement of already existing products, processes, systems and services through state-of-the-art methods;
– Advance industry and technology by creating scientific knowledge, namely mathematical and computational methods;
– Convert new R&D solutions into marketable or economically feasible products or processes;
– Writing, proofreading and evaluation of scientific papers;
– Design and data acquisition of experimental setups.
Solutions Ingeniarius
![Mechatronics](https://ingeniarius.pt/wp-content/uploads/2021/12/Mechatronics.gif)
Mechatronics
Ingeniarius’ team is experienced in the full chain of mechatronics development – mechanics, electronics and software (both low-level and high-level). We have been developing robots and other solutions, from which the portfolio includes, but is not limited to:
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- Full development of unmanned field robots, namely for ground, aerial and underwater applications
- Robotization of existing vehicles, such as electric cars and heavy-duty SAE J1939 machines
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- PID, fuzzy and other controllers designed for multiple driving systems (differential, skid-steer, Ackerman, omnidirectional, …)
- Optimization routines for self-tuning parameters
- Robot Operating System (ROS) drivers for hardware integration and abstraction
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- AR-based equipment, such as head-mounted displays and body-motion sensing
- Positioning system for collective sports
- Motion capture suits
- Non-invasive physiological data acquisition
![Ingeniarius Ingeniarius](https://ingeniarius.pt/wp-content/uploads/2019/01/localization.gif)
Pervasive Localization
Be it in mobile robots or wearables, Ingeniarius has long experience in pervasive localization, both for indoors or outdoors, as is the case of its proprietary ultra-wideband positioning system. This, together with other sensing sources, namely inertial measurement units, have been integrated to provide real time tracking of mobile elements without a time-consuming deployment of the infrastructure. Ingeniarius’ pervasive localization approaches have been evaluated in several applications:
- Localize robotic teams in GPS-denied environments
- Support navigation of lawn mowing robots without relying on boundary wires
- Track football, basketball and hockey players in the field
- Evaluate alternative localization solutions, such as vision-based pedestrian tracking and GPS-RTK
![Ingeniarius Ingeniarius](https://ingeniarius.pt/wp-content/uploads/2019/01/coordination.gif)
Multi-robot coordination
Swarm robotics, multi-robot patrolling, formation control and other multi-robot coordination architectures are part of Ingeniarius’ expertise since the very beginning. Those approaches have been evaluated in multiple robotic domains over the past few years, which include:
- Bayesian-based infrastructure inspection and surveillance
- Swarm-based forestry and agricultural landscape maintenance
- Leader-follower control for water quality monitoring
![Artificial Intelligence Artificial Intelligence - Ingeniarius](https://ingeniarius.pt/wp-content/uploads/2021/12/ArtificialIntelligence.gif)
Artificial Intelligence
AI, as one of the hottest R&D topics out there, has also been exploited by Ingeniarius, mostly by resorting to traditional classification approaches and deep learning. Some of the most typical domains Ingeniarius has applied AI are:
- Object recognition
- Semantic mapping
- Pedestrian tracking
- Human activity recognition