Session Summary
June 2026
Harnessing AI to Transform Patient Outcomes
Session hosted by:
Zach Rash, CEO and Co-Founder, Coco Robotics
John Hanke, Executive Chairman & CEO of Niantic Spatial | Architect behind Google Maps and the global phenomenon Pokémon GO․, Executive Chairman & CEO of Niantic Spatial | Architect behind Google Maps and the global phenomenon Pokémon GO.
Stephanie Hare: Researcher, Author & Co‑Presenter of BBC’s Artificial Intelligence: Decoded
The convergence of artificial intelligence, robotics, and advanced mapping technologies is reshaping how we interact with urban environments. Industry leaders are pioneering innovations that promise to revolutionise everything from food delivery to city infrastructure, creating smarter, more efficient communities through cutting-edge spatial intelligence and autonomous systems.

Full Session Summary
The Evolution of Mapping: From Basic Navigation to Centimetre-Level Precision
The journey of digital mapping has undergone a remarkable transformation. What began as simple navigation tools like Google Maps has evolved into sophisticated 3D mapping systems with centimetre-level accuracy. This precision is no longer a luxury—it's essential for enabling augmented reality experiences and safe robotic navigation in complex urban environments.
John Hanke, a pioneer in spatial technology, has been instrumental in advancing this field through Niantic Spatial's living maps. These dynamic mapping systems go beyond static representations, continuously updating to reflect real-world changes in urban settings. This capability enables robots to navigate safely and effectively through bustling city streets, adapting to obstacles, pedestrians, and ever-changing conditions.
Gaming as a Data Collection Innovation
One of the most innovative approaches to gathering spatial data has emerged from an unexpected source: mobile gaming. Pokémon GO has demonstrated how gaming can serve as a transparent and engaging method for collecting rich datasets. Players voluntarily contribute to mapping efforts whilst enjoying their gaming experience, creating a win-win scenario that supports the development of advanced spatial intelligence systems.
This approach represents a paradigm shift in data collection methodologies, proving that community participation can drive technological advancement whilst maintaining transparency and user engagement.
Coco Robotics: Designing Delivery Robots for Real-World Communities
Zach Rash has led the charge in bringing autonomous delivery robots from concept to reality. Coco Robotics' delivery robots are now operational in seven cities globally, demonstrating that practical, community-integrated robotics solutions are achievable today, not just in the distant future.
Human-Centric Design Philosophy
The success of these robots hinges on thoughtful, human-centric UX design. Rather than creating imposing machines that dominate public spaces, Coco Robotics has developed compact, friendly robots that communities embrace rather than resist. This design philosophy ensures that robots are perceived as helpful assistants rather than intrusive technology.
Key design considerations include:
- Compact footprint that minimises disruption to pedestrian traffic
- Friendly aesthetics that encourage positive community interactions
- Intuitive interfaces that make robot interactions seamless
- Safety features that prioritise pedestrian wellbeing
Operating in Challenging Conditions
These delivery robots aren't fair-weather solutions. They're engineered to operate in extreme weather conditions and challenging urban environments, addressing critical supply-demand imbalances in delivery services. Whether navigating through rain, snow, or intense heat, these robots maintain reliable service when traditional delivery methods struggle.
Security features include dual-lock systems that protect deliveries whilst maintaining accessibility for intended recipients. Remarkably, these robots have earned community respect, significantly mitigating theft risks through a combination of smart design and community integration.
The Role of AI and Data in Overcoming Navigation Challenges
The success of autonomous robots in outdoor environments wouldn't be possible without recent breakthroughs in artificial intelligence and data collection technologies. These advancements have solved previously insurmountable challenges in outdoor navigation, enabling robots to:
- Interpret complex urban environments in real-time
- Predict and respond to dynamic obstacles
- Optimise routes based on traffic patterns and conditions
- Learn from experience to improve performance continuously
The synergy between advanced mapping technologies and AI-powered decision-making creates robots that don't just follow predetermined paths—they understand and adapt to their environments intelligently.
Transforming Industries Through Robotic Innovation
The implications of these technologies extend far beyond food delivery. Industry leaders envision robots revolutionising multiple sectors:
- Food delivery services with faster, more reliable fulfilment.
- Construction sites with autonomous material transport and site monitoring.
- Public infrastructure maintenance through automated inspection and repair.
- Healthcare logistics with secure medical supply delivery.
- Retail operations with efficient last-mile delivery solutions.
Addressing Data Privacy and Transparency
With great technological power comes significant responsibility. Both Hanke and Rash acknowledge the complexities of data privacy and emphasise the critical importance of transparency in data usage. As robots collect spatial and operational data, maintaining public trust requires clear communication about what data is gathered, how it's used, and who has access to it.
Collaborative Urban Development
Forward-thinking collaborations between robotics companies and city governments are already yielding benefits beyond delivery services. Robot-generated data is being used to improve urban accessibility and infrastructure planning. For example, robots can identify:
- Pavement obstacles that impede wheelchair users
- Poorly maintained infrastructure requiring attention
- Traffic pattern inefficiencies
- Opportunities for improved pedestrian pathways
Building Smarter, More Sustainable Cities
The broader vision encompasses using robotics and mapping technologies to create better urban environments. Potential benefits include:
- Reduced urban congestion through optimised delivery routes
- Improved energy efficiency with electric autonomous vehicles
- Enhanced public spaces freed from delivery vehicle traffic
- Better accessibility for all community members
- Data-driven urban planning based on real-world usage patterns
A Transformative Moment in Technological History
We stand at a pivotal moment where AI, robotics, and advanced mapping converge to reshape our cities and daily lives. The technologies being developed today will define how future generations interact with urban environments, access services, and experience public spaces.
The success stories from Niantic Spatial and Coco Robotics demonstrate that this future isn't speculative—it's unfolding now in cities worldwide. As these technologies mature and expand, they promise to deliver more efficient, sustainable, and human-friendly urban environments.
Key Takeaways

Agents Are Effective When They Include Judgment
The session highlighted how companies like Coco Robotics are deploying robots for last-mile deliveries in urban settings. These robots are designed to operate on sidewalks and lightly trafficked areas, offering scalable, energy-efficient, and community-friendly solutions for food and goods delivery.

The Evolution of Maps From Human to Robotic Applications
The discussion explored how mapping has evolved from basic 2D representations to highly detailed 3D models that enable robots to navigate urban environments safely and efficiently. This transformation was driven by technologies like augmented reality and large-scale data collection, exemplified by Niantic's innovative use of gaming to create living maps.

Ethical and Practical Challenges in Robotic Data Usage
The panel addressed concerns about data privacy, security, and collaboration as robotic systems collect vast amounts of environmental data. Transparent data practices, partnerships with cities, and leveraging data for public benefits like accessibility improvements were presented as strategies to mitigate these challenges.















