Streamlining Robotic Boat Development with AWS IoT Solutions
Seafloor Systems, a hydrographic robot developer, revolutionized its fleet management by utilizing AWS IoT Greengrass and RoboMaker. The startup specializes in creating bespoke autonomous robotic boats that efficiently collect data for mapping bodies of water. With the need to streamline their production process to scale effectively, Seafloor Systems turned to Amazon Web Services (AWS) for globally scalable tools and resources. By leveraging AWS IoT solutions and AWS RoboMaker, which provide cloud infrastructure for robotic developers to simulate, test, and deploy applications, Seafloor Systems reduced complexity, increased speed, and optimized costs in developing and updating their robots.
Enhancing Application Delivery with AWS RoboMaker and IoT Greengrass
Seafloor Systems serves hydrographers globally and offers instruments, software, and support for hydrographic projects. With a small team constantly balancing development and deployment, the startup found AWS to be a robust framework for its operations. By incorporating AWS IoT Greengrass for agile deployments and AWS RoboMaker for simulations, Seafloor Systems accelerated its testing processes without the need for physical robots in remote locations, reducing costs and increasing delivery speed. The compatibility with Robot Operating System also enabled collaboration with a broader community of roboticists, fostering innovation and modular development.
Optimizing Robot Deployment with AWS IoT Greengrass and RoboMaker
Seafloor Systems experienced significant efficiency gains in deploying and managing software at the edge by using AWS IoT Greengrass and RoboMaker. The seamless integration of these tools allowed the startup to save at least 4 hours per robot build, leading to substantial time and cost savings across its fleet of HyDrones. Leveraging AWS cloud infrastructure, Seafloor Systems could deploy applications to robots in remote locations swiftly, reducing deployment times from days to mere hours. The deployment process also became more cost-effective, saving the company approximately $1,500 per robot deployment.
Driving Innovation and Collaboration in Maritime Robotics with AWS
Seafloor Systems plans to further leverage AWS RoboMaker for developing simulation pipelines and testing field use cases. The company envisions using AWS services to stay at the forefront of maritime robotics research, enabling the adoption of cutting-edge technologies and methodologies. By simulating real-world scenarios, Seafloor Systems can enhance its robotic capabilities and explore new opportunities for collaboration with universities and research institutions. The potential for students and researchers to learn and innovate using Seafloor Systems' simulated data and software stacks opens up a realm of possibilities for educational and research advancements in maritime robotics.
Future-proofing Fleet Management with AWS IoT Innovations
Seafloor Systems is prepared for the future of IoT in maritime robotics by harnessing the power of AWS services. The startup envisions an IoT network where data collected by its boats contributes to a shared cloud dataset accessible globally. Utilizing AWS IoT Greengrass enables the deployment of global machine learning models for edge analytics, paving the way for innovative applications in hydrographic research and beyond. Seafloor Systems' collaboration with a New Zealand research institution showcases the potential of their robotic boats in diverse use cases, from identifying invasive aquatic plants to supporting hydrographic scientists and businesses worldwide.