Name
Tech. Session X - 214
Date & Time
Thursday, June 26, 2025, 9:50 AM - 10:15 AM
Description
Efficient warehouse management relies on real-time inventory visibility, facilitating accurate tracking of stock levels, locations, and movements. Traditional inventory monitoring processes, typically manual or requiring extensive infrastructure, are not only labor-intensive and time-consuming but also prone to significant human error, resulting in operational inefficiencies and financial drawbacks. The integration of Ultra-High Frequency Radio Frequency Identification (UHF RFID) technology with robotic solutions presents an ongoing area of research attempting to address these challenges. Although RFID-based systems are becoming popular in inventory management, existing research primarily emphasizes Unmanned Aerial Vehicle (UAV) or wheeled unmanned ground vehicle (UGV) applications, with minimal focus on the utilization of legged robots, particularly in manufacturing settings. This study investigates the feasibility and performance of a robot dog equipped with a UHF RFID scanner for inventory mapping in a warehouse environment. A specialized robot dog platform SCOUT (Smart Canine Optimized for UHF Tracking) was designed and fitted with a UHF RFID reader and antenna, and deployed in a controlled factory setting to collect data on passively tagged inventory using a unique Received Signal Strength Indicator (RSSI) triangulation approach. The results indicated that the robot dog’s unique agility and adaptive movement capabilities enabled superior navigation of dynamic environments, potentially surpassing traditional methods and robotic systems. This innovative approach demonstrated the potential to transform inventory management, enhancing accuracy, cutting labor costs, and boosting overall warehouse productivity, laying a foundation for broader industry adoption of robotic inventory solutions with the addition of only a singular UHF RFID sensor.
Location Name
Redbud C
Full Address
Hyatt Regency
220 N Main St
Greenville, SC 29601
United States
220 N Main St
Greenville, SC 29601
United States
Session Type
Technical Session
Paper #
NAMRC 214
Author List
Shivaprasad Cherukupally, Wilfred Arokia Geoffrey, Gururaj A Bidnur, Rakesh Lingam and Venkata Reddy N
Paper Title
Enhancing Surface Quality and Accuracy in Hybrid Incremental Sheet Forming and Wire-Arc Direct Energy Deposition: A Focus on Path Planning and Reconfigurable Support
Presenter Name
Venkata Reddy Nallagundla
Session Chair
Wayne Cai, Venkata Reddy Nallagundla
Presenter Email
nvr@mae.iith.ac.in