Self-driving Robots in warehouses

Transcription

1 Self-driving Robots in warehouses

2 USD billion The Logistics Robots category is expected to grow by CAGR 15% until 2020 to reach $25billion* Global logistics robots market value In logistic systems were sold, 27% more than in 2013 (in manufacturing and nonmanufacturing environments) ,4 CAGR 15% 2015F Years 24,6 2020F sale forecast: mobile platforms as customizable multi-purpose platforms, logistic systems including AGV. *Global Automated Guided Vehicles Market - By Industry, Types, Vendors and Geography - Market Shares, Forecasts and Trends ( ) ( and own calculations.

3 Limitations of Autonomous Guided Vehicles

4 The warehouse must be adapted in order for the AGV to work efficiently Principle Guide wire is laid along the travel route or magnetic rods are installed in the floor, and the AGV travels along the magnetic field detected by its sensors. Limitations The guide wires must be installed. Any breakage of wires makes it impossible to detect the route. When routes are changed, the magnetic tape must be replaced, resulting in system down time. *Illustration from Max AGV Control System.

5 Fixed AGVs paths cannot deviate from their preprogrammed route Principle When faced with an obstruction to their path, AGVs reliably and safely stop. Limitations Unexpected obstructions in the path (including preoccupied or disabled AGVs) can force a blockage that may bring warehouse productivity to an unexpected and unwelcome halt. *Illustration from Max AGV Control System.

6 The warehouse must be adapted in order for the AGV to work efficiently Principle Laser beam from the AGV is reflected by reflectors mounted on walls, the current position is determined based on the angle of the reflected light, and the vehicle uses this data to travel along the set route. Limitations A considerable amount of time is required for adjusting the position of the reflectors to prevent the reflected light from being blocked. *Illustration from

7 Today s warehouses environments are not static There is a need for adaptable and reconfigurable solution

8 Self-driving Robot how does it work? Principles Infrastructure free Self-driving robot uses a variety of sensors to create a map of its surrounding Simultaneously locates itself properly within this map and scans the surroundings in real-time in order to avoid newly emerged obstacles Dynamic path planning allows flexible, adaptable transport of materials Synchronizes with other robots an API is connected to the centralized WMS system to monitor and manage the robots fleet

9 Self-driving Robot how does it work? CAMERA surveillance CAMERA 3D obstacles detection HMI operator control CAMERA 3D floor scan ELECTRONICS navigation ULTRASOUND glass detection ODOMETRY positioning LASER continuous safety scan

10 Self-driving Robot safety considerations Immediate reaction to the coming person Ability to bypass unexpected obstacles in 2D and 3D Ability to work together with other vehicles

11 Features of the VersaBox self-driving Robot Size (lenght/width/ height): 1000/800/1200 mm Mass: 150 kg Loading: 300 kg Max. Speed: 1.5 m/s Operational speed: 1.0 m/s Operation time without charging: Min. idle time: 10h Min. operation with full load: 6h Autonomous navigation system in dynamic environment: Autonomous transportation of goods between production nodes Continuous obstacles detection and autonomous avoidance Automatic docking and charging systems Onboard operator control interface Remote-user control interface No need for warehouse adaptation

12 Fleet of self-driving robots coming soon Map 1 Scans from individual robots are merged and re-shared that allows to continuously update the map with current changes, save time, optimize the routes and optimally assign tasks Map 2 Map 1 + Map 2

13 Join us in giving an answer to the adaptable and reconfigurable logistics solutions Jakub Michalski, CEO Tel E. Skype: kubski_77 VersaBox Ltd. Bokserska 53 Str Warsaw Poland