Cloud Robot Entry Control for Door-Gated Service Spaces
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Solution Overview
Problem
The commercialization of delivery robots is hindered by the difficulty in reducing their size and weight due to the need for high-performance processing devices and sensors like LiDAR, and issues arise when problems occur during robot operation, making it cumbersome to analyze and maintain them.
Innovation Solution
A cloud-based robot control system that allows robots to move to waiting areas, determine if they are alone in a target space, control doors to enter, and provide services efficiently without high-performance sensors, enabling multiple robots to work together to handle requests exceeding individual capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-performance processing devices and sensors like LiDAR are mounted on the robot, then the robot's autonomous driving control capability is improved, but the robot's size and weight increase
Solution Approach 1:
The patent extracts the high-performance processing device and sensor from the robot body and relocates it to an external server. The robot retains only basic navigation functions while the server handles complex autonomous driving control computations, thereby reducing robot weight while maintaining or improving control capability through cloud-based processing.
Solution Approach 2:
The patent introduces a server as an intermediary between the robot and the control system. The server acts as a remote brain that receives sensor data from the robot, processes autonomous driving decisions, and sends control commands back, allowing the robot to operate with minimal onboard hardware while achieving high-level autonomous control.
2Reliability
If high-performance processing devices and sensors like LiDAR are mounted on the robot, then the robot's autonomous driving control capability is improved, but the robot's size increases
Solution Approach 1:
The patent extracts the high-performance processing device and sensor from the robot body and relocates it to an external server. The robot retains only basic navigation functions while the server handles complex autonomous driving control computations, thereby reducing robot size while maintaining or improving control capability through cloud-based processing.
Solution Approach 2:
The patent introduces a server as an intermediary between the robot and the control system. The server acts as a remote brain that receives sensor data from the robot, processes autonomous driving decisions, and sends control commands back, allowing the robot to operate with minimal onboard hardware while achieving high-level autonomous control.
3Reliability
If a robot is designed with comprehensive sensors and processing devices, then the robot's autonomous driving capability is improved, but the cost of cameras or LiDAR sensors makes commercialization difficult
Solution Approach 1:
The patent extracts the expensive high-performance processing device and advanced sensors from the robot and relocates them to a shared server infrastructure. This allows multiple robots to share the same computational resources, dramatically reducing the cost per robot while maintaining high autonomous driving capabilities through cloud-based processing.
Solution Approach 2:
The patent creates a universal server platform that can serve multiple robots simultaneously. The same high-performance processing infrastructure supports numerous robots, making the system economically viable for commercial deployment while providing advanced autonomous driving capabilities that would be prohibitively expensive if each robot had its own dedicated hardware.
4Reliability
If a robot is designed with advanced sensors and processing devices, then the robot's autonomous driving capability is improved, but when problems occur during operation, it is necessary to pick up the robot and analyze the problem, which is cumbersome
Solution Approach 1:
The patent introduces a server as an intermediary that hosts the autonomous driving control software. When problems occur, technicians can remotely access and analyze the software on the server without needing to physically retrieve the robot. This significantly simplifies maintenance and troubleshooting while the robot continues to operate with advanced autonomous capabilities.
Solution Approach 2:
The system enables self-diagnosis and remote troubleshooting capabilities where the server can automatically detect issues, log errors, and even perform software updates without human intervention. When problems do require attention, the centralized server architecture allows remote analysis, reducing the need for physical robot retrieval and enabling faster resolution.
Data Source
AI summary
A method for controlling robots and facilities is performed by one or more processors and includes controlling a first robot to move to a waiting area of a target space, acquiring information that the first robot is located in the waiting area of the target space, determining whether there is a robot in the target space, controlling, in response to determining that there is no robot in the target space, a door of the target space to be opened, controlling, in response to determining that the door is open, the first robot to leave the waiting area and enter the target space, and controlling the first robot to provide a serving service in target space.