A5018028524- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Consumer Retail Behavior Studies
- QR Code Applications and Technologies
- Advanced Manufacturing and Logistics Optimization
- Food Supply Chain Traceability
Skolkovo Institute of Science and Technology
2020
This letter presents a heterogeneous Unmanned Aerial Vehicle (UAV)-based robotic system for real-time barcode detection and scanning using Convolutional Neural Networks (CNN). The proposed approach improves the UAV's localization scanned barcodes as landmarks in real warehouse with low-light conditions. Instead of standard overlapping snake-based grid (OSBG) trajectory, we implement novel flight-path optimization based on locations. reduces time stocktaking decreases number mistakes scanning.
This paper suggests a novel method for customer behavior analytics and demand distribution based on Radio Frequency Identification (RFID) stocktaking. Existing solutions lack applicability to real-life situations in retailing, which may result unobservable loss of sales. The proposed solution provides new parameters the retailer using mobile robot autonomous stocktaking RFID-equipped shopping rooms. Built models depict location-related dependencies, most least purchasable areas store,...