Volvo and EquipmentShare Drive Autonomous Equipment Development
Volvo and EquipmentShare are advancing autonomous construction machinery, impacting safety and efficiency in the AECM industry.
Volvo and EquipmentShare are advancing autonomous construction machinery, impacting safety and efficiency in the AECM industry.
Rhoda AI's Direct Video Action model revolutionizes robotics training, promising reduced costs and enhanced adaptability for the AECM industry.
Autonomous construction equipment is set to transform the industry with enhanced safety and productivity. Doosan's Concept-X technology marks a significant step, aiming for market readiness by 2025. The shift promises to address labor shortages and redefine operational strategies.
Bedrock Robotics has launched the largest known supervised autonomous excavation test at a Phoenix manufacturing site, marking a pivotal shift in construction automation.
CNH Industrial's $175 million acquisition of Hemisphere GNSS enhances precision technology for construction and agriculture, promising efficiency gains for the AECM industry.
Built Robotics has introduced an aftermarket kit that enables full autonomy for bulldozers and excavators, addressing labor shortages in the construction industry. The kit's manufacturer-agnostic design allows it to be installed on various machines, enhancing productivity and efficiency.
Tutor Perini plans to expand into the data center market while maintaining a strong $19.8 billion backlog, signaling a strategic pivot amidst significant infrastructure projects and a promising outlook for 2026 and 2027.
Skanska's steady U.S. operations amid economic challenges highlight effective risk management and potential growth in data center construction, offering insights for the AECM industry.
QNX is set to showcase its AI robotics innovations at the 2026 Robotics Summit, emphasizing the importance of safe and secure robotic systems in shared human environments. This development is crucial for the AECM industry, impacting productivity, safety, and cost efficiency.