Industry case studies

    Cobots and service robots are already delivering measured results in hospitals, kitchens, factories, hotels and warehouses worldwide. These are published third-party deployments β€” we share them so you can judge the technology on real numbers, and we scope, program and support the same kind of tasks for you.

    These are published third-party deployments, not smert.ai projects. smert.ai is not affiliated with, endorsed by, or sponsored by the companies or robot manufacturers named. Brand names appear in plain text for factual reference only.

    Healthcare & cleaning

    Vaasa Central Hospital
    Finland

    Autonomous UV-C disinfection of patient rooms, complementing manual cleaning protocols.

    • β†’Repeatable, controlled disinfection cycles with less variability between shifts
    • β†’Deployed in live patient rooms alongside staff and patients

    Charlie UV-C robot (Done Robotics)

    Source: Done Robotics
    National University Hospital
    Singapore

    Seven-day live pilot of autonomous restroom cleaning across male, female and handicap restrooms on a hospital ward.

    • β†’>85% coverage across key fixtures
    • β†’Operated by on-site staff after handover; hospital management recommended future deployment

    Abluo cleaning robot (Hivebotics), with ISS Facility Services

    Source: Hivebotics
    Ipswich Hospital (NHS)
    United Kingdom

    Autonomous corridor cleaning to free staff for detailed sanitising work.

    • β†’~703 mΒ² cleaned per hour; productivity up almost 300%
    • β†’Over 15 staff-hours per day redeployed to detailed cleaning
    Winona Health
    United States

    Robotic floor scrubbing across a community healthcare campus facing environmental-services staff shortages.

    • β†’Cleaning productivity increased by 50% across the campus

    Cobi 18 robotic scrubber (ICE Cobotics)

    Source: ICE Cobotics
    Karolinska University Laboratory
    Sweden

    Cobots opening transport sleeves and scanning test tubes β€” tasks repeated thousands of times a day.

    • β†’Repetitive-strain workload removed from lab staff
    • β†’Second robot added after COVID-era sample volumes grew

    Collaborative lab robots (AutoMed project)

    Source: Karolinska University Hospital

    Kitchen & food

    Amy's Kitchen
    United States

    Flexible cobot system depositing ingredients into frozen-meal trays on existing lines.

    • β†’Product consistency improved 12%; food giveaway reduced 4%
    • β†’Labor productivity increased 17%

    Chef Robotics depositing system

    Source: Automation World
    CafΓ© Spice
    United States

    AI-powered portioning robots on two ready-meal lines, deployed as a subscription (RaaS) with no large upfront capital.

    • β†’Production throughput increased 2–3Γ—
    • β†’Over-portioning waste eliminated; SKU changeovers in under 10 minutes

    Chef Robotics RaaS cells (16 robots)

    Source: ProFood World
    Compass Group HQ
    United Kingdom

    Tray-delivery cobots serving the head-office restaurants and meeting rooms after a four-week measured trial.

    • β†’Operator hours saved and service times improved, measured during the pilot
    • β†’Rolled out across the HQ and offered to large clients after trial success

    Keenbot tray robots (SoftBank Robotics)

    Source: Catering Insight
    Samsung Welstory
    South Korea

    Automated frying in a headquarters cafeteria serving 450 people β€” fried chicken, pork cutlets, dumplings.

    • β†’Staff removed from hot-oil work, reducing burn and fire risk
    • β†’Up to six fried dishes prepared simultaneously with pre-programmed recipes

    WELIBOT frying cell (Rainbow Robotics RB5-850N)

    Source: Rainbow Robotics
    Cascade Coffee
    United States

    Six cobot palletizing units at a contract coffee roaster, replacing manual stacking under chronic labor shortage.

    • β†’ROI in about 13 months
    • β†’Safety and employee satisfaction improved on a physically demanding task

    Palletizing Solution (Robotiq)

    Source: Robotiq

    Manufacturing

    Nymann Teknik
    Denmark

    Cobot feeding a CNC lathe 10–12 hours a day in a five-person machine shop.

    • β†’Payback in three months
    • β†’Production cost-competitive with Asian outsourcing; first program written in 90 minutes

    UR5 cobot (Universal Robots)

    Source: Universal Robots
    EMI Integrated Systems
    Israel

    Modular cobot cells tending CNC milling, mill-turn, CMM and laser-marking machines for high-precision parts.

    • β†’Overall equipment effectiveness up from ~70% to ~95%
    • β†’Hundreds of production hours added annually; payback in 12–18 months

    UR5/UR10 cobots with acubez automation (Universal Robots)

    Source: Universal Robots
    B-Loony Ltd
    United Kingdom

    Six cobots handling balloon inflation, sewing and product assembly for a bespoke promotional-products maker.

    • β†’Food-flag output up from 250,000 to 15 million per year
    • β†’ROI in nine months; production kept in the UK

    UR3 cobots (Universal Robots)

    Source: Universal Robots
    SMEW Textile Machinery
    India

    Pick-and-place cobot in a small textile-machine manufacturer, working unfenced next to operators.

    • β†’Output up 300% within a year of deployment

    UR10 cobot (Universal Robots)

    Source: Universal Robots
    Alliora
    France

    End-of-line cobot palletizing of 5–12 kg boxes at a 50-employee packaging manufacturer with seasonal demand.

    • β†’One week from delivery to stacking boxes
    • β†’ROI in 18 months; ~23 metric tons per shift no longer lifted by hand

    Palletizing Solution (Robotiq)

    Source: Robotiq

    Mechanics & repair

    Nymann Teknik
    Denmark

    Cobot feeding a CNC lathe 10–12 hours a day in a five-person machine shop.

    • β†’Payback in three months
    • β†’Production cost-competitive with Asian outsourcing; first program written in 90 minutes

    UR5 cobot (Universal Robots)

    Source: Universal Robots
    EMI Integrated Systems
    Israel

    Modular cobot cells tending CNC milling, mill-turn, CMM and laser-marking machines for high-precision parts.

    • β†’Overall equipment effectiveness up from ~70% to ~95%
    • β†’Hundreds of production hours added annually; payback in 12–18 months

    UR5/UR10 cobots with acubez automation (Universal Robots)

    Source: Universal Robots
    SMEW Textile Machinery
    India

    Pick-and-place cobot in a small textile-machine manufacturer, working unfenced next to operators.

    • β†’Output up 300% within a year of deployment

    UR10 cobot (Universal Robots)

    Source: Universal Robots

    Hospitality

    Compass Group HQ
    United Kingdom

    Tray-delivery cobots serving the head-office restaurants and meeting rooms after a four-week measured trial.

    • β†’Operator hours saved and service times improved, measured during the pilot
    • β†’Rolled out across the HQ and offered to large clients after trial success

    Keenbot tray robots (SoftBank Robotics)

    Source: Catering Insight
    Aloft Silicon Valley
    United States

    Autonomous robot butler handling room-service and amenity deliveries in a 172-room hotel.

    • β†’Room-service delivery time cut by 80% (15 minutes to 2)
    • β†’22,300+ deliveries over 4.5 years; ~6% RevPAR increase

    Botlr robot butler (Relay Robotics)

    Source: Relay Robotics
    Maldron Hotel Newcastle
    United Kingdom

    Autonomous room-service robot delivering amenities across floors in a four-star city-centre hotel.

    • β†’Room-service revenue up 100%; ~Β£4,000 additional revenue
    • β†’Robot handles 90–95% of room-service orders

    ButlerBot W3 (SPARK Robotics)

    Source: SPARK Robotics
    Marina Bay Sands
    Singapore

    Seventeen autonomous mobile robots moving 300 kg loads from loading bays to kitchens and storage across the resort.

    • β†’Labour dependency cut by 30%; staff upskilled to manage the fleet
    • β†’200+ manual deliveries per day across 80 routes automated, distances up to 800 m

    Autonomous mobile robots (resort-wide fleet)

    Source: Marina Bay Sands

    Logistics & packing

    Marina Bay Sands
    Singapore

    Seventeen autonomous mobile robots moving 300 kg loads from loading bays to kitchens and storage across the resort.

    • β†’Labour dependency cut by 30%; staff upskilled to manage the fleet
    • β†’200+ manual deliveries per day across 80 routes automated, distances up to 800 m

    Autonomous mobile robots (resort-wide fleet)

    Source: Marina Bay Sands
    DCL Logistics
    United States

    Cobot picking and packing in an e-commerce fulfillment center, integrated into the existing work cell.

    • β†’500% efficiency increase and 100% order accuracy
    • β†’50% labor savings; ROI in three months

    UR10e cobot (Universal Robots)

    Source: Universal Robots
    Cascade Coffee
    United States

    Six cobot palletizing units at a contract coffee roaster, replacing manual stacking under chronic labor shortage.

    • β†’ROI in about 13 months
    • β†’Safety and employee satisfaction improved on a physically demanding task

    Palletizing Solution (Robotiq)

    Source: Robotiq
    Napco Brands
    United States

    Two end-of-line palletizing cobots at a 65-employee private-label coffee packer, running two shifts.

    • β†’Eight workers per day freed for other tasks; productivity up 15%
    • β†’ROI in under a year; 180,000 single-serve cups palletized daily

    Cobot palletizers (Robotiq)

    Source: Modern Materials Handling
    Alliora
    France

    End-of-line cobot palletizing of 5–12 kg boxes at a 50-employee packaging manufacturer with seasonal demand.

    • β†’One week from delivery to stacking boxes
    • β†’ROI in 18 months; ~23 metric tons per shift no longer lifted by hand

    Palletizing Solution (Robotiq)

    Source: Robotiq

    Construction & rework prevention

    MBN
    Germany

    AI comparison of 360-degree site captures against the BIM model on a major residential project.

    • β†’38 relevant site errors identified during the project
    • β†’A misplaced drywall caught right after installation, avoiding about €7,000 of rework

    Buildots AI site analysis with koppla scheduling

    Source: CaseStudies.com
    A Hong Kong contractor (unnamed in source)
    Hong Kong

    Continuous LiDAR scanning to catch excavation deviations from BIM before follow-on trades start.

    • β†’60% reduction in rework reported
    • β†’3,200+ survey hours saved; as-built BIM record for DEVB compliance

    viLid 4D LiDAR reality capture (viAct)

    Source: viAct
    Timberline Construction
    United States

    Scan-to-BIM and multi-trade clash detection before mobilisation on a life-sciences lab renovation.

    • β†’350 clashes resolved before any trade reached the field
    • β†’About US$45,000 of rework and chargebacks avoided

    LiDAR scan + Revit coordination (OAR)

    Source: OAR

    Want results like these in your operation?

    Bring one repetitive task to our Tsim Sha Tsui lab and we will show you how a SMERT Cobot would handle it β€” before you commit to anything.

    These are published third-party deployments, not smert.ai projects. smert.ai is not affiliated with, endorsed by, or sponsored by the companies or robot manufacturers named. Brand names appear in plain text for factual reference only.