This section presents the experimental R&D infrastructure behind an autonomous, EFTCO-compliant robotic wash system designed for heavy-duty and industrial vehicles.
The platform integrates high-pressure wash robotics, LiDAR and sensor arrays, PLC-based control systems and real-time data acquisition to optimise energy, water and chemical consumption while ensuring repeatable, standards-driven wash cycles.
R&D Focus: Robotic Sealing & Synchronous M2M Orchestration
A central R&D challenge is enabling industrial robots to operate reliably in high-pressure water and chemical environments.
The experimental framework focuses on developing a custom active articulated protective enclosure for multi-axis KUKA KR 120 robotic arms. The system uses controlled internal air pressure to protect critical mechanical joints from moisture and chemical infiltration.
An integrated network of hygrometric sensors and automated thermal control routines monitors internal conditions and mitigates condensation caused by humidity fluctuations and thermal shocks.
The platform also incorporates proprietary M2M middleware designed to orchestrate real-time communication between industrial systems. High-frequency spatial data from SICK VPS553 LiDAR sensors is processed to support dynamic trajectory calculation, multi-axis tracking and adaptive anti-collision responses.
Together, these technologies form the basis for a highly automated, synchronised wash environment designed to operate with minimal human intervention while generating real-time operational data for future digital twin and predictive optimisation applications.