Autonomous Luggage Cart Navigation for Heavy Load Maneuvering
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Solution Overview
Problem
Current luggage carts are difficult to control, especially when loaded with heavy items, posing safety risks and inefficiencies in maneuverability, particularly in crowded areas like hotels and convention centers, due to the need for manual force application and lack of precise control mechanisms.
Innovation Solution
An autonomous luggage cart system equipped with electric motors, high-capacity batteries, sensors (corner, camera, and RFID), and a controller unit applying machine learning and artificial intelligence to navigate and manage speed and torque, enabling autonomous operation and manual override for enhanced safety and productivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual force is applied to control the cart, then the cart can be moved, but control difficulty increases and safety risks arise when loaded with heavy items
Solution Approach 1:
The patent replaces the manual mechanical pushing system with an electric motor-driven propulsion system. The motor is connected to the wheels through a transmission mechanism, enabling automated control of the cart's movement without requiring manual force application, thereby improving both ease of operation and safety when transporting heavy loads.
Solution Approach 2:
The cart is equipped with sensors that detect obstacles and automatically adjust the motor's propulsion force or stop movement. The system includes a control unit that processes sensor data and autonomously manages the cart's movement, eliminating the need for continuous manual intervention while maintaining safety.
2Quantity of substance
If the cart is loaded with heavy items, then transportation capacity increases, but maneuverability and control become difficult
Solution Approach 1:
The electric motor provides sufficient torque to move heavy loads without requiring manual pushing. The motor-controlled propulsion system can precisely regulate force output, enabling easy maneuverability even when the cart is fully loaded, thus resolving the contradiction between load capacity and ease of operation.
Solution Approach 2:
The control system dynamically adjusts the motor's output parameters (speed, torque, acceleration) based on the detected load weight and terrain conditions. This allows the cart to maintain optimal maneuverability across varying load conditions, enabling heavy items to be transported with the same ease as lighter loads.
3Productivity
If electric motors are added to control speed and torque, then productivity increases, but device complexity increases
Solution Approach 1:
The control unit serves multiple functions: it processes data from various sensors (obstacle detection, weight measurement, position tracking), manages motor propulsion, controls braking, and interfaces with the user. By consolidating these functions into a single integrated control system, the patent achieves high productivity while minimizing the increase in overall system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The autonomous system improves control and safety by allowing precise navigation and reduced manual effort, increasing productivity and reducing the risk of injury, while enabling efficient transportation and secure operation in various facilities.
Implementation Method 1
wheels driven by electric motors
Implementation Method 2
high-capacity battery and battery charge manager
Data Source
AI summary
An autonomous luggage cart system and method for transportation of objects in facilities such as hotels, condos, universities, and convention centers, providing a cart having a floor, a bumper, riser pipes, and an underside housing, wheels driven by electric motors, a high-capacity battery and a battery charge manager, front and rear tow hitches and tow-hitch sensors, corner sensors, a camera-sensor package, directional sensors, RFID units, a controller unit applying machine learning and artificial-intelligence methods to sensor data, and a communications unit and a remote unit for external communications with other systems.