Robot Fork Collision Type Control for Obstacle Handling
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Solution Overview
Problem
Robots used in warehouses are prone to fork collisions with obstacles, leading to potential damage and increased maintenance costs due to continuous fork operations.
Innovation Solution
A method and apparatus that determine the collision type of a robot's fork and implement specific processing strategies to protect the fork from damage by controlling movement speeds and rotations based on the collision type, including strategies for telescopic arms being stretched or not stretched, and incorporating sensors for accurate detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robot continues to control the fork to perform actions when obstacles exist around, then the productivity is improved, but the fork is likely to be damaged which increases the device maintenance costs
Solution Approach 1:
The system performs preliminary collision detection before the fork completes its action. Sensors detect obstacles in the fork's path and trigger a collision processing strategy before damage can occur, preventing harmful effects while allowing continuous operation
Solution Approach 2:
The system uses sensors to continuously monitor the fork's environment and provides feedback to the control unit. When collision is detected, the control unit adjusts the fork's actions in real-time, allowing the system to adapt and protect the fork while maintaining productivity
2Reliability
If the robot equips collision detection sensors and implements collision processing strategies, then the fork protection is improved, but the device complexity increases
Solution Approach 1:
The collision detection system uses existing sensors (current sensors, speed sensors, pressure sensors) that serve multiple functions - monitoring fork operation, detecting collisions, and providing feedback for control adjustments. This multi-functionality reduces the need for dedicated collision detection hardware
Solution Approach 2:
The system uses its own operational parameters (current, speed, pressure) to detect collisions without requiring external specialized sensors. The fork's own operating data serves the dual purpose of controlling operation and detecting collisions, simplifying the overall system
Data Source
AI summary
This application provides a fork collision processing method and apparatus, a robot, a device, a medium, and a product. The method includes: determining a collision type when it is detected that a fork of a robot encounters a collision; determining a fork collision processing strategy according to the collision type; and processing the fork collision according to the fork collision processing strategy. In this application, when it is detected that the fork of the robot encounters a collision, the collision type of the fork collision is first determined, then the fork collision processing strategy is determined according to the determined collision type, and finally the fork collision event is processed according to the determined fork collision processing strategy.