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  • Melbourne, Australia

Perception of Robots
in Restaurants

Ethics/Privacy/Security/Trust/Human
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Fun fact

Robots are making significant strides in the hospitality industry, enhancing operational efficiency and guest experiences. Their increased adoption has pushed the industry to rethink about human versus robot service.

~$52K
+

Average Waiter Salary

~$15.9K
+

Average Restaurant Robot Cost

~$338M
+

Hotel Robots Invested by 2025

48%
+

Increase of 2021 Sales vs 2022 Sales

Analysis

The Concerns of Robots in Hospitality Industry

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Ethical and Social Considerations

Address the potential for job displacement by upskilling and reskilling employees to work alongside robots or take on new roles created by technological advancements.

Privacy and security are paramount, necessitating robust data protection measures and transparency about data usage.

It's also important to ensure that robots are inclusive and accessible to all guests, accommodating a diverse range of needs and abilities.
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Customer Experience and Interaction

Enhance service by incorporating robots that can remember guest preferences and provide personalized recommendations.

It's crucial to strike a balance between automation and the human touch, allowing robots to handle routine tasks while human staff manage more complex or sensitive interactions.

Additionally, robots should have an intuitive design, with clear instructions and accessibility features, ensuring all guests can easily use them.
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Operational Efficiency and Integration

Robots should seamlessly integrate into existing workflows, complementing the efforts of human staff to improve overall efficiency.

Reliability and ease of maintenance are key, requiring regular maintenance schedules and quick troubleshooting protocols to ensure continuous service.

Proper data management practices should be in place to analyze collected data for ongoing improvement while safeguarding guest privacy and security.

An Ideal Solution?

What can we do to combat the
negative perception of robots?

Our Team

Awesome team
members

Arvin Hay

Arvin Hay

Computational Science
Matthew Yau

Matthew Yau

Machine Learning Engineer
Arkayuga Gunawan

Arkayuga Gunawan

Software Development
Milos Milojevic

Milos Milojevic

Politics and Philosophy

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