Robot Proximity Beacon Detection for Warehouse Collision Avoidance
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Solution Overview
Problem
Inefficient navigation and increased collision risk for robots in warehouses due to the presence of various obstacles and equipment, which hinders the efficiency of order-fulfillment processes.
Innovation Solution
The implementation of proximity beacons that provide robots with real-time information about their environment, allowing them to detect and respond to nearby objects and equipment, switching to a proximity operation mode to avoid collisions and optimize navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robots navigate in a warehouse with other equipment and obstacles, then order fulfillment productivity is improved, but collision risk and navigational disruptions increase
Solution Approach 1:
The system performs preliminary detection of obstacles and equipment using sensors before the robot navigates into potentially hazardous areas. The proximity detection system continuously monitors the environment ahead of time, allowing the robot to plan safe paths and avoid collisions before they occur.
Solution Approach 2:
The robot employs continuous feedback through sensors that monitor proximity to obstacles and equipment in real-time. This feedback loop allows the navigation system to dynamically adjust the robot's path and speed based on current environmental conditions, maintaining safety while enabling efficient order fulfillment operations.
2Measurement precision
If robots traverse narrow aisles to access dispersed products, then navigation precision is improved, but collision risk with equipment increases
Solution Approach 1:
Before entering narrow aisles, the robot performs preliminary scanning using its sensors to detect equipment and obstacles. The proximity detection system identifies potential hazards in advance, allowing the robot to adjust its navigation parameters and maintain precise control while minimizing collision risk in constrained spaces.
Solution Approach 2:
The robot dynamically adjusts its navigation behavior when traversing narrow aisles, modifying speed, acceleration, and turning radius based on real-time proximity measurements. This dynamic adaptation enables precise navigation through tight spaces while maintaining safe distances from equipment and reducing collision risk.
Data Source
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AI summary
Systems and methods for proximate robot object detection and avoidance are provided herein which include a receiver in electronic communication with an autonomous robot and configured to receive a broadcast message from a beacon, a processor, and a memory, the memory storing instructions that, when executed by the processor, cause the autonomous robot to detect, based on the received broadcast message, a proximity of the beacon to the autonomous robot, determine, from the received broadcast message, a beacon status, the beacon status indicating whether the beacon is stationary, approaching the autonomous robot, or withdrawing from the autonomous robot, identify, according to the detected proximity and the determined beacon status, a corresponding proximity operation, and control the autonomous robot to stop an ordinary operation and operate according to the identified proximity operation.