RoboticsSLAMLiDARAI

Misti — Autonomous Service Robot for Hospitality

AI-powered indoor service robot built for the operational realities of restaurants, hotels, and corporate dining environments.

Misti — Autonomous Service Robot for Hospitality
Live
Restaurant deployments
SLAM
Autonomous navigation
LiDAR
Obstacle avoidance
Reduced
Manual service load
ClientRestaurants · Hotels · Corporate Dining
DeploymentHospitality / Service Automation
TechnologiesAI · Computer Vision · SLAM · LiDAR · IoT · Cloud
StatusActive deployments, expanding
01

The Challenge

Hospitality service is constrained by manpower availability, peak-hour bottlenecks, and inconsistency in service speed.

Imported service robots cost ₹15-30L per unit, are not localized for Indian environments, and lack support infrastructure. The brief: build a service robot engineered for Indian hospitality conditions at a viable price point.

02

The Solution

Misti is an AI-powered autonomous service robot built for indoor navigation in dynamic hospitality environments. It uses LiDAR-based SLAM for mapping, real-time obstacle detection for safety, and a touch interface for staff and customer interaction.

The robot integrates into existing service workflows — staff load orders, the robot navigates to predefined tables, customers retrieve their items, and the robot returns to the loading station. No infrastructure changes required.

03

System Architecture

  • LiDAR-based SLAM mapping and navigation
  • Multi-sensor obstacle detection (avoidance + safety stop)
  • Embedded processing unit for real-time decision-making
  • Touch interface for user interaction
  • Wi-Fi connectivity for fleet updates and monitoring
  • Cloud sync for analytics and remote support
04

Key Capabilities

  • Autonomous indoor navigation (SLAM)
  • Real-time obstacle detection and avoidance
  • Predefined route mapping (per venue)
  • Multi-table delivery optimization
  • Touch interface for orders and confirmations
  • Remote fleet monitoring and updates
05

Impact

  • Deployed in real restaurant and hospitality environments
  • Reduced manual service workload during peak hours
  • Improved consistency of service delivery
  • Built and supported in India — order, deploy, support cycle in days
  • Proven viability against imported alternatives
06

Deployments

Restaurants (multiple)
Hotels
Corporate dining spaces
Experience centers
07

Tech Stack

ROSSLAMLiDARComputer VisionEmbedded SystemsWi-Fi/IoTCloudPython/C++

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