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FORT Robotics has announced its acquisition of Mapless AI, a move aimed at enhancing its teleoperation capabilities. This strategic decision, made to diversify FORT's technological expertise beyond traditional industrial environments, leverages Mapless AI's experience in more unstructured settings. The acquisition is expected to bolster FORT's offerings in robotics and automation, allowing for improved operational flexibility and efficiency. The deal reflects a growing trend in the robotics industry to integrate advanced AI technologies to meet the evolving demands of various operational contexts.
RoboticsBusinessReview.com By Brianna Wessling Jun 02, 2026 Artificial Intelligence Artificial Intelligence / Cognition Automotive Design / Development Financial Markets / Industries
Fort Robotics, a company specializing in trust solutions for physical AI, has acquired Mapless AI, a prominent firm based in Boston and Pittsburgh known for its expertise in vehicle teleoperation and autonomy supervision. This acquisition marks a strategic move for Fort, enhancing its Trust Platform with two essential capabilities: remote human-in-the-loop teleoperation and onboard active safety. By integrating Mapless AI's technologies, Fort aims to broaden its commercial offerings and improve the safety and efficiency of autonomous systems. The deal underscores Fort's commitment to advancing the development of reliable and secure AI-driven solutions in the robotics sector.
RoboticsAndAutomationNews.com By Sam Francis May 28, 2026 Artificial Intelligence Financials & Investments Logistics active safety systems ai robotics automation news
A recent acquisition has enhanced FORT's capabilities, transitioning its functionality from safe remote control to supervised autonomy. This advancement aims to meet the increasing demands for human-in-the-loop systems and proactive safety measures in the field of physical AI. The integration of these features is expected to significantly improve operational efficiency and safety in various applications, addressing the growing need for intelligent systems that can operate autonomously while still allowing for human oversight. This development marks a significant step forward in the evolution of AI technologies, reflecting ongoing trends in automation and safety in complex environments.
RoboticsTomorrow.com May 27, 2026RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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