黑料福利网

banner

News

Home>News>Content

Komatsu Expands Autonomous Haulage System to Conventional Construction Sites

Jun 08, 2026

Komatsu has officially rolled out its second-generation Autonomous Haulage System (AHS), marking a paradigm shift from highly controlled mining environments to the unpredictable terrain of conventional construction sites. While autonomous rigid-frame trucks have been operating in open-pit mines for over a decade, adapting this technology for articulated dump trucks navigating active job sites with pedestrian traffic, temporary structures, and constantly changing topography has long been considered an insurmountable challenge.

The core breakthrough of AHS 2.0 lies in its departure from reliance on high-precision GPS and pre-mapped static routes. Traditional mining AHS requires a rigid, unchanging digital twin of the site. However, construction sites evolve daily. To address this, Komatsu has engineered a dynamic spatial awareness system powered by a fusion of high-resolution solid-state LiDAR, millimeter-wave radar, and stereoscopic cameras. This multi-sensor array generates a real-time 3D occupancy grid around the vehicle, allowing the machine's edge-computing module to classify obstacles not just as "objects," but contextually-differentiating between a stationary boulder, a moving light vehicle, and a worker in a high-visibility vest.

The computational load required to process this sensor fusion in real-time is immense. Komatsu has partnered with an edge-AI silicon provider to equip the onboard control unit with a neural processing unit capable of 200 TOPS (Trillions of Operations Per Second). This allows the articulated truck to execute predictive path planning on the fly. If a haul road is temporarily blocked by a pile of rubble, the system does not simply halt and wait for a remote operator to intervene. Instead, it evaluates the surrounding terrain, calculates an alternative route that adheres to the machine's rollover stability algorithms, and safely navigates around the obstruction.

Field trials at a large-scale infrastructure project in Australia have demonstrated a 15% improvement in cycle times compared to manually operated trucks, primarily due to the elimination of driver fatigue and inconsistent gear shifting. More importantly, the system introduces a new safety paradigm. The LiDAR suite operates flawlessly in heavy dust and low-light conditions where human visibility is severely compromised. By integrating the AHS directly with the site's fleet management software, dispatchers can coordinate mixed fleets of autonomous and manned equipment, with the system automatically establishing safety exclusion zones around driverless units. This deployment signifies that the bottleneck of autonomous heavy equipment is no longer technological, but regulatory, as industry standards race to catch up with operational capabilities.