STEER Tech & KINEXON team up to boost autonomous vehicle capabilities in industrial settings
Press Release, 19 January 2026
STEER Tech, a U.S.-based autonomous vehicle tech innovator, has announced a strategic partnership with KINEXON, a global leader in real-time location tracking and industrial IoT solutions, aimed at advancing autonomous vehicle (AV) performance in industrial facilities such as warehouses, logistics depots and factory floors. The collaboration focuses on combining STEER Tech’s autonomous navigation and fleet management software with KINEXON’s precise real-time location systems (RTLS) to create smarter, safer and more efficient autonomous operations.
By integrating KINEXON’s advanced sensor and positioning technology with STEER Tech’s autonomy stack and Command and Control platform, the joint system improves the accuracy and reliability of autonomous vehicle movements especially in indoor environments where GPS is limited or unavailable. This fusion of technologies delivers enhanced fleet coordination, offering real-time visibility into vehicle locations, task progress and status, which can significantly streamline workflows and boost operational efficiency at busy sites. Key benefits also include improved safety, with advanced obstacle detection, collision avoidance and optimized routing helping protect both equipment and personnel. Scalability is another priority: the solution is engineered to support large, dynamic industrial environments with flexible deployment that grows alongside operational needs.
Already active at several U.S. facilities, the integrated platform supports not only traditional autonomous vehicles but also Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs), marking a meaningful step toward more comprehensive autonomy across industrial ecosystems. Leaders from both companies emphasize that this partnership pushes the frontier of industrial automation by offering a robust alternative to GPS-dependent systems, enabling precise vehicle localization and reducing the need for manual intervention. As automation continues to expand across logistics and material handling, collaborations like this will play a central role in shaping industrial autonomous mobility in the years ahead.
Compiled using AI
