Autonomous Excavation and Electric Machinery Advances

Develon and Gravis Robotics demonstrate AI-enabled excavation and electric equipment at Demo Days 2026 to address safety, automation, and emissions in construction.  na.develon-ce.com Develon presented a range of new excavation technologies, automation systems, and electric machinery during its Demo Days event held from 13–16 April 2026 in the Czech Republic. The event highlighted developments in industrial automation, machine safety systems, and zero-emission construction equipment for quarrying and infrastructure applications. Integration of AI and Electro-Hydraulic Systems A central focus was the introduction of the Series 9 crawler excavators, including 37-tonne and 42-tonne models. These machines are based on a full electro-hydraulic (FEH) architecture combined with embedded artificial intelligence. The FEH system replaces conventional hydraulic controls with electronically managed actuators, enabling more precise flow regulation, reduced energy losses, and improved response times. The AI layer supports operator assistance functions such as motion control optimization and task automation, contributing to consistent excavation cycles. This architecture is designed to reduce operator variability and improve fuel efficiency through adaptive control algorithms. Safety Systems and Machine Visibility Develon demonstrated an integrated emergency stop system (E-Stop) for excavators, designed to mitigate risks in high-density job sites. The system functions by immediately halting hydraulic operations when unsafe conditions are detected or manually triggered, similar in principle to automotive emergency braking systems. In parallel, the Transparent Bucket 2.0 system was presented for wheel loaders. This visibility solution uses camera-based imaging and real-time processing to reconstruct the obstructed field of view in front of the bucket. By eliminating blind spots, it supports safer material handling operations, particularly in confined or high-traffic environments. Cooperation on Autonomous Excavation A key cooperation highlighted during the event involved Develon and Gravis Robotics in the development of the Real-X system. This solution combines Develon’s machine control systems with Gravis Robotics’ AI-based excavation software. The system enables semi-autonomous trenching by integrating sensor data, positioning systems, and machine learning models to execute predefined excavation paths. During demonstration trials, the system showed consistent trench geometry and repeatable cycle times, indicating its suitability for infrastructure projects requiring precision and repeatability. The first operational deployment of this system has already been completed in Europe, demonstrating feasibility beyond prototype level. Electrification of Construction Equipment Develon also expanded its electric excavator portfolio, targeting reduced emissions in urban and regulated environments. The range includes compact and mid-sized machines built on existing platforms but equipped with battery-electric drivetrains. These machines maintain comparable operating parameters to diesel equivalents while eliminating exhaust emissions and reducing noise levels. This makes them suitable for indoor demolition, urban construction, and environmentally sensitive zones. Application-Specific Machinery Additional equipment presented included demolition excavators and material handlers designed for recycling and waste management. These machines are engineered for high-load cycles, extended reach, and reinforced structural components to withstand continuous operation in demanding environments. Engineering Context The technologies presented reflect a broader transition in construction equipment toward digital infrastructure, automation, and electrification. By integrating AI, sensor systems, and electric drivetrains, manufacturers aim to address labor shortages, regulatory pressure on emissions, and increasing safety requirements in construction and quarrying sectors. Edited by an industrial journalist, Lekshman Ramdas, with AI assistance. www.develon-ce.com Powered by Induportals Media Publishing