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Understanding current state-of-the-art and anticipating major advances for autonomous systems, either in product development or on the manufacturing floor, is critical for many industries. The conference has three major themes:
  * Autonomous vehicles (land, air, and sea)
  * Autonomous manufacturing
  * Platforms for autonomous systems – connectivity, infrastructure, and socio-economic implications of autonomy and policies

Procter & Gamble is looking for new approaches and technologies that can help them to address key business challenges/opportunities. The following innovation brief(s) will provide a high-level overview of specific business goals and needs, as well as a high-level overview of what they are looking for in a solution.

P&G is looking to partner with companies and emerging disruptors to address key shopper and retailer pain points in urban to deliver a breakthrough experience which disproportionately drives P&G brands.

Ferrovial, S.A., previously Grupo Ferrovial, is a Spanish multinational company that operates around the world involved in the design, construction, financing, operation and maintenance of transport infrastructure and urban services. It is launching a division on Mobility, in charge of providing solution for smart cities, from infrastructure to services to technologies (car sharing, IoT, smart city solutions). The symposium will touch on the following, among other topics: the future of mobility from the user's perspective, and infrastructures and technologies.

The Dubai Police is offering a partnership opportunity for the Smart City Naif project in Dubai. This concept revolves around the deployment of stable sensor networks for pedestrian movement detection, a comprehensive multimodal traffic overview system (car, pedestrian, bike), real-time incident detection, and Al based automated patrol alerts. Additionally, a physical and digital augmented 3D model will provide an interactive platform for decision-making at Naif police station.

P&G is looking for a number of solutions to improve human-robot collaboration and safety. There are three distinct use cases: highly reliable object detection, deterministic localization for mobile robots, and highly reliable recognition of humans.