Uber Eats to launch autonomous delivery robots in the UK

Uber Eats to launch autonomous delivery robots in the UK Uber Eats to launch autonomous delivery robots in the UK
Source: Starship Technologies

Uber Technologies has partnered with Starship Technologies to rollout autonomous sidewalk delivery robots across several upcoming markets. The rollout begins in the UK in December 2025, extends into multiple European countries in 2026, and reaches the US in 2027.

The agreement positions Uber Eats to incorporate autonomous delivery at commercial scale. Starship’s AI-enabled robots, which have completed over nine million deliveries across seven countries, support the addition of new delivery options for consumers using the Uber Eats platform.

Autonomous robot deliveries are scheduled to launch in Leeds in December 2025. Starship confirms that its robots operate at Level 4 autonomy and complete deliveries in under 30 minutes for journeys of up to two miles.

“Together, we’re building the infrastructure that will define the next generation of urban logistics,” said Ahti Heinla, Co-Founder and CEO of Starship Technologies. “Uber Eats has built the world’s leading delivery platform, with the widest reach, trusted by millions across 10,000 cities. We bring scalable autonomous technology that works profitably at city scale.”

“Autonomous delivery is an exciting part of how we see the future of Uber Eats,” said Sarfraz Maredia, Global Head of Autonomous at Uber. “Together with Starship, we’re bringing this future to life across multiple continents, leveraging Uber’s global scale and Starship’s proven autonomy to deliver efficient and affordable experiences for consumers and merchants everywhere.”

Starship operates what it refers to as the world’s largest autonomous delivery network. Over the last 11 years, its robots have worked in more than 100 cities across 15+ countries. Its fleet of 2,700+ robots function across 270+ locations and complete 100,000+ road crossings each day. The real-world experience has accumulated a dataset of approximately 200 million crossings, which the company uses to train and enhance its AI models.

The company continues to address factors that include safety validation, regulatory approval across seven countries, all-weather reliability, and delivery performance at scale.

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