Sandi
Sandi is a versatile service and hospitality robot designed to enhance guest experiences and support staff in dynamic environments like hotels, hospitals, and elderly care facilities. Featuring an expressive LCD face for engaging interactions, Sandi greets visitors, provides directions, delivers items, and performs entertainment routines such as dancing to boost morale. Equipped with advanced sensors for safe navigation, it autonomously maps spaces using SLAM, avoids obstacles, and recognizes faces for personalized service. Voice commands enable multilingual communication, while its programmable platform allows custom skills like concierge assistance or health screenings. Compact and mobile on tracks, Sandi reduces human workload, promotes contactless interactions, and integrates seamlessly into service workflows, making it ideal for reception, guiding, and social support roles.
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Misty Robotics’ Sandi points to a teleoperation-first future for service robots
Service robots are increasingly being asked to handle front-of-house work where people still expect responsiveness, eye contact, and safe movement in crowded spaces. Sandi by Misty Robotics is being positioned around that problem set, with the company’s Misty II platform serving as the technical base for customer-facing, reception, concierge, and guiding roles.
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Frequently Asked Questions
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Q1. What is Sandi and what hospitality or service tasks is it designed to perform?
Sandi by Misty Robotics is a programmable social robot platform adaptable for hospitality settings. According to Misty Robotics, it performs tasks such as guest greetings, information delivery, and basic interactions using voice recognition, facial expressions via LCD display, and autonomous movement.
Q2. Which hotels, restaurants, or businesses are currently deploying Sandi?
No public information confirms deployments of Sandi by Misty Robotics in hotels, restaurants, or other businesses. Misty Robotics primarily markets the platform to developers, educators, and researchers rather than commercial hospitality operators.
Q3. How does Sandi navigate busy lobbies and avoid guests or obstacles?
Sandi uses sensors for 3D mapping and dynamic autonomous navigation. According to Misty Robotics documentation, it detects and responds to environmental changes, including obstacles, while returning to its charger independently.
Q4. What languages does Sandi support for guest interactions?
Specific languages for guest interactions are not detailed in Misty Robotics resources. The robot supports voice command understanding through its SDKs, programmable in JavaScript, Python, and other languages via HTTP APIs.
Q5. How long does Sandi operate on a single charge during a hospitality shift?
Battery life details for hospitality shifts are not specified by Misty Robotics. The robot requires manual powering on and off via a base switch and connects to Wi-Fi for operation, with no published runtime figures.
Q6. How does Sandi integrate with hotel PMS, POS, or room management systems?
Integration with hotel PMS, POS, or room systems is not documented. Misty Robotics provides SDKs (JavaScript, Python, .NET) and HTTP APIs for custom programming, allowing developers to build such connections if needed.
Q7. What is the cost or pricing model for deploying Sandi in a business?
Pricing for Sandi deployments is not publicly listed by Misty Robotics. The company offers support inquiries through its website for potential customers seeking deployment details.
Q8. How does Sandi handle requests or situations it cannot resolve?
Sandi processes skills programmed via SDKs running onboard; unresolved situations depend on developer-implemented logic. According to Misty Robotics, skills execute directly on the robot, with external applications using APIs for additional handling.
Q9. How does Sandi compare to Keenon, Savioke, BellaBot, or other hospitality robots?
Sandi emphasizes developer programmability with AI and vision capabilities, unlike task-specific hospitality robots like Keenon or BellaBot focused on delivery. Misty Robotics positions it as a research platform, while others target ready-to-deploy service roles.
Q10. What measurable outcomes or ROI have early adopters reported from using Sandi?
No reported measurable outcomes or ROI from hospitality adopters exist in available Misty Robotics information. Early use focuses on education and research, with no hospitality case studies published.
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