Distributed Parking Robots for Tight Vehicle Handling
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Solution Overview
Problem
Conventional parking systems face challenges in efficiently managing space, particularly with large parking robots and limited capacity for bulky or heavy goods, and existing solutions struggle with tight parking and efficient path planning in crowded areas.
Innovation Solution
A distributed robot-based object movement system comprising a first robot for path generation and a second robot providing a driving force to lift and move objects, which operate together to navigate through a target space, performing collision detection and obstacle avoidance while maximizing space utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Weight of moving object
If a single large parking robot is used to move vehicles, then the robot can handle heavy objects, but the robot occupies excessive space and becomes difficult to manage
Solution Approach 1:
The system divides a single large robot into multiple smaller robots (first robot for path planning, second robot for lifting, third robot for towing). Each robot has a specialized function and smaller size, allowing them to operate in tighter spaces while collectively handling vehicles of various weights through coordinated effort
Solution Approach 2:
Multiple smaller robots are combined to work together as a team to move vehicles. The first robot generates path information, the second robot provides lifting force, and the third robot provides towing force, merging their individual capabilities to achieve the function of a single large robot while occupying less total space
2Ease of operation
If conventional mechanical parking systems are used, then vehicles can be moved along set paths, but multiple vehicles cannot be parked or exited simultaneously and space utilization is poor
Solution Approach 1:
The parking system is segmented into multiple independent robot units that can operate simultaneously and independently. Each robot can handle a separate vehicle, allowing multiple parking or exiting operations to occur at the same time without interfering with each other, thus increasing productivity
Solution Approach 2:
The system transitions from fixed mechanical paths to dynamic autonomous navigation. Each robot independently generates its own path information and navigates to its target vehicle, allowing flexible and simultaneous operations throughout the parking space without being constrained by predetermined routes
3Device complexity
If a single robot performs both path planning and vehicle movement, then the system is simpler to control, but the robot cannot efficiently navigate crowded areas or handle tight parking
Solution Approach 1:
The control functions are segmented between different robots: the first robot specializes in path planning and navigation, while the second and third robots specialize in vehicle manipulation (lifting and towing). This division allows each robot to optimize its performance for its specific function, improving navigation efficiency in crowded areas while maintaining manageable system complexity through specialized roles
Solution Approach 2:
The first robot acts as an intermediary that generates path information for the other robots. It plans the navigation path from reference location to destination location, serving as a mediator between the control system and the execution robots, thereby improving overall navigation efficiency without requiring every robot to have full path planning capabilities
Data Source
AI summary
Provided are a distributed robot-based object movement system and an object movement method using the same. The distributed robot-based object movement system includes a first robot that moves to a reference location where a target object is located, and acquires path information for moving the target object from the reference location to a predetermined destination location, and a second robot that moves to the reference location, provides a driving force for lifting the target object, and drives according to the path information while lifting the target object.