1 December 2025
Alascom SRL is proud to present its research and development project ALA-ENG, funded by the Tuscany Region.
Call PR FESR 2021–2027; RS2 2023; OP1 OS1 Action 1.1.4 “Research and development for enterprises, including in partnership with research organizations”
Call No. 2 “Research and development projects for SMEs and Midcaps”
Project Name: ALASCOM-ENGINE [ALA-ENG]
CUP: 27717.29122023.0430001429_2560
Duration: 04/12/2024 – 04/06/2026
In the context of digital transformation and increasing industrial automation, the main challenge is no longer merely automating processes, but creating intelligent and collaborative environments in which robots, machines, and operators can interact safely, efficiently, and predictively.
This is the direction of the new project promoted by ALASCOM SRL, dedicated to the development of advanced technologies for AI-based robotic logistics, with the goal of supporting the transition toward an intelligent and sustainable enterprise within the framework of the Smart Specialisation Strategy.
The project aims to develop new AI-driven technologies for robotic logistics, supporting the digital transition toward an intelligent and sustainable enterprise in the context of the Smart Specialisation Strategy.
Currently, fleets of AMRs (Autonomous Mobile Robots) coordinate and operate in logistics environments based on preset rules and by using proprioceptive sensors and information from corporate management software. Today, this data makes it possible to forecast and anticipate production flows and the loading/unloading of goods based on connected industrial processes. However, it is still not possible to coordinate robots and industrial vehicles by predicting trajectories or events caused by non-sensorized agents such as people, vehicles, or machines that are not connected to the network. These situations, in addition to creating potential safety risks, have a negative impact on productivity and process speed and occur frequently, especially in very large production sites that are difficult to monitor.
These same limitations also prevent the safe use of robotic arms mounted on mobile robots, effectively hindering large-scale development of “mobile manipulation” applications due to the inability to ensure operational safety when robotic arms are in motion.
The goal of the project is to create a sensorized and intelligent environment that includes operators and machinery that have not yet been digitized, in order to implement predictive algorithms and safely and effectively optimize and orchestrate production systems and the movements/trajectories of mobile robots.
The project aims not only to develop new organizational processes for robot fleets but also to fully introduce the paradigm of networked robotics for safe and efficient collaborative robotics.
The project proposes the development of intelligent environments capable of processing and transmitting useful data to increase workplace safety and production efficiency in industrial plants, including large-scale facilities, through high-performance, low-consumption, and highly adaptable modern technologies.
The current fleet management software for mobile robots, “ALASCOM ENGINE”, developed by ALASCOM SRL, will reach TRL8 with new functionalities that will make intralogistics robots connected within large production plants and warehouses safer, faster, and capable of autonomously responding to changes or variability typical of complex industrial environments.
Technological advancements during the project include the introduction of Real-Time Wi-Fi (for example, using Siemens’ industrial Wi-Fi iWLAN protocol), enhanced in stability and bandwidth through 5G wherever coverage of extensive industrial areas makes it necessary.
Specific wireless sensors for industrial safety will be connected wirelessly, and their operation will be managed to follow mobile robots along their routes with protected safety fields, in order to safeguard operators and prevent potential collision risks.
Furthermore, dedicated software functionalities will be implemented to provide robots with useful data to adjust their trajectory or speed before operators or other mobile machinery enter the robots’ operating range.
The project will also integrate the networked-robotics paradigm to improve workplace safety and robot usability.
As the project progresses, certified safety components such as SIL2 (PLd) laser scanners, WBB radars, safety barriers, and PLc (SIL1) cameras—connected wirelessly for monitoring safety areas—will be integrated, together with D-RGB cameras and advanced computer vision software for detecting mobile agents (people, AMRs, forklifts, vehicles) and predicting trajectories using advanced probabilistic algorithms.
Innovative multisensory human–machine communication interfaces and wireless sensors for worker localization and communication (wearable devices) will also enable management software and robots to interact directly with operators (forklift drivers, ground personnel, etc.), informing them about ongoing processes and predicting potential danger (collisions, material movement, vehicle access to maneuvering areas), providing a level of awareness and safety never before achievable.
Through this project, ALASCOM SRL reaffirms its commitment to developing advanced solutions for industrial automation and safety, contributing concretely to the creation of a more connected, predictive, and sustainable production ecosystem.
The ultimate goal is to bring to life an intelligent logistics environment in which collaboration between humans and machines becomes the core of a new industrial model: more efficient, safer, and fully aligned with the vision of networked robotics.
