Robot Beacon Status Detection for Proximate Obstacle Avoidance
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Solution Overview
Problem
Inefficient navigation and increased collision risk for robots in warehouse environments due to the presence of obstacles, equipment, and other mobile objects, which hampers the efficiency of order-fulfillment processes.
Innovation Solution
A proximate robot object detection and avoidance system utilizing proximity beacons that allow autonomous robots to detect the status and proximity of beacons, enabling them to switch to a proximity operation mode, which includes reduced speed, waiting, or navigation to a new location to mitigate collision risks and optimize navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robots navigate at normal speed in warehouse, then productivity is improved, but collision risk with equipment and obstacles increases
Solution Approach 1:
The system performs preliminary detection of obstacles and equipment using sensors before the robot reaches them. The controller receives sensor data in advance and calculates potential collision risks, allowing the robot to prepare for speed reduction or path adjustment before entering hazardous zones, thus maintaining productivity while preventing collisions
Solution Approach 2:
The system continuously monitors the environment using sensors and provides real-time feedback to the controller. The controller adjusts the robot's speed and path dynamically based on the current proximity to detected objects, creating a closed-loop control system that balances navigation speed with collision avoidance
2Reliability
If robots perform frequent speed adjustments and path changes, then collision avoidance is improved, but navigation efficiency deteriorates
Solution Approach 1:
The system implements dynamic speed adjustment based on real-time proximity to obstacles. Rather than frequent abrupt changes, the robot smoothly modulates speed in response to detected objects, maintaining navigation efficiency while ensuring collision avoidance through adaptive motion control
Solution Approach 2:
The system applies speed reduction only when and where necessary based on obstacle proximity, rather than uniformly reducing speed throughout the entire navigation path. This partial action approach maintains high speed in safe zones while applying caution only in hazardous areas, preserving overall navigation efficiency
3Productivity
If robots navigate through narrow aisles with restricted visibility, then order fulfillment efficiency is improved, but detection accuracy deteriorates
Solution Approach 1:
The system merges multiple sensing modalities (cameras, LIDAR, ultrasonic sensors, infrared sensors) to create a comprehensive detection system. By combining these different sensor types, the robot achieves accurate object detection and distance measurement even in narrow aisles with restricted visibility, maintaining both safety and navigation efficiency
Data Source
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.