Company: OTSA
Filing Date: 2025-07-07
Form Type: F-1/A
Source: 0001213900-25-061733
Chunk: 169

Company: OTSAW Ltd
Filing Date: 2025-07-07
Form: F-1/A
Chunk 169
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 expand our geographic reach. We also plan to make selective investments and acquisitions that complement and create synergies with our existing businesses, products, and services. As of the date of this prospectus, we have not engaged in any discussions regarding any potential acquisitions or investments with any party. Our Core Software Technologies The cutting -edgesoftware research and development capabilities and AMR’s outdoor autonomy technology are our core competencies. Leveraging our core software technologies, we have built our proprietary ANS, consisting of our patented 3D SLAM Technology, Sensor Fusion Technology, machine perception Technology, AI & machine learning technology, and Fleet Management and Control System. Our highly -scalablecore software technologies and ANS serve as the architecture and “brain” of our AMRs and robots. The combination of both enables us to build an AMR and robotics ecosystem that provides the AI -enabledrobotics solutions with scalability potential and the ability to integrate our products and services with all relevant players in the facilities management industry. Thus, our products can be deployed, customized and applied to numerous service scenarios. Since the ANS Version1, our first generation ANS designed exclusively for O -R 3robots, our ANS has continued to evolve towards universal applicability. Currently, our AMRs are equipped with the ANS Version2, which supports our O -R 3, Camello +and O -RXAMRs. The modular and versatile software components of the ANS Version 2 allow a shared codebase and algorithm across the various models of AMRs. The ANS Version 2 supports different driving mechanisms, from the Ackerman Steering Geometry to Differential Skid Drive. The Differential Skid Drive allows our AMRs to perform 360 degree turns for maximum maneuverability in urban environments. The ANS Version 2 is also equipped with future -proofenhanced machine perception and navigation algorithms for better behavior control, therefore significantly improving the ability of our AMRs to operate in even more complex urban environments — such as navigating through multiple levels, service roads, pedestrian -cyclistshared walkways, and ramps with 180 degree turns. Our robust and proprietary multi -modalANS is capable of complex and well -coordinatedAI capabilities to achieve real -worldautonomous navigation. A fundamental aspect of autonomous navigation is the AMRs’ ability to sense, map, perceive and plan pathways through congested, erratic or dynamic environments. Obstacle detection and avoidance are paramount in dynamic environments, especially when the AMRs operate amongst other vehicles or persons. Our ANS software is