Predictive Robot Warning System for Human Safety
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Solution Overview
Problem
Existing robot systems often result in accidents when robots and humans approach each other during operation, as current warning systems fail to effectively predict and prevent dangerous situations, leading to delays in work processes.
Innovation Solution
A method that predicts robot movement by simulating or analyzing the control program, determining traversed workspace segments, and issuing visual and acoustic warnings based on time intervals to alert personnel of potential dangers, thereby minimizing delays and improving safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If robot safety mechanisms are activated to prevent accidents when robots and humans approach each other, then safety is improved, but the robot comes to a standstill causing delays in the work process
Solution Approach 1:
The system performs preliminary actions by predicting future robot positions and issuing warnings before the robot actually reaches dangerous zones. The control unit simulates robot movement along the trajectory and identifies future danger zones, then activates warning devices in advance to alert humans to move away, preventing the need for robot stoppage while maintaining safety.
Solution Approach 2:
The system implements feedback by continuously monitoring the actual position of the robot and comparing it with the predicted trajectory. The control unit receives actual position data, updates the prediction, and dynamically adjusts warning outputs based on whether the robot is following the predicted path or deviating, enabling real-time safety management without unnecessary stoppages.
2Reliability
If current warning systems are used that only react when robots are already in dangerous positions, then device complexity is reduced, but safety is insufficient as accidents cannot be prevented in time
Solution Approach 1:
The control unit performs preliminary calculations by simulating robot movement along the trajectory and identifying future danger zones before the robot reaches them. This predictive approach allows the system to issue advance warnings using existing warning devices, improving safety without requiring fundamentally new or complex hardware systems.
Solution Approach 2:
The system replaces complex mechanical safety mechanisms with a computational approach. The control unit uses software-based trajectory prediction and simulation to identify danger zones, substituting physical safety barriers and complex mechanical interlocks with intelligent algorithms that process position data and generate appropriate warning signals.
3Reliability
If the robot continuously monitors and reacts to human presence in real-time, then safety is improved, but the robot must frequently stop to avoid hazards causing loss of time
Solution Approach 1:
The system performs preliminary identification of danger zones along the robot's trajectory and issues warnings in advance before the robot actually enters hazardous areas. This allows humans to proactively move away from predicted danger zones, eliminating the need for reactive robot stoppage and preventing time loss while maintaining continuous safety monitoring.
Solution Approach 2:
The system dynamically adapts its safety approach by continuously updating predictions based on actual robot position feedback. The control unit adjusts the timing and location of warnings in real-time based on the robot's current state and trajectory, optimizing the balance between safety and productivity by only activating warnings when genuinely necessary rather than using static, overly conservative safety zones.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method provides a differentiated and timely warning of potential dangers, allowing personnel to adapt their behavior and prevent accidents, thus enhancing safety and productivity in robot workspaces.
Implementation Method 1
a first visual warning is output on the floor segment that is assigned to the respective work space segment
Data Source
Figure 1
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Figure 4
AI summary
The invention relates to a method for warning a person in a working area (20) about at least one first robot (10), and a robot system (80) comprising the at least one first robot (10). In one step (110) of the method according to the invention, the movement (18) of the robot (10) in a future working interval (50) is predicted. In additional method steps (120, 130), it is determined whether a working area segment (24) will be passed over by the robot (10) in a first or second time period (52, 54). A first or second visual warning (62, 64) is emitted in accordance with when the working area segment (24) will be passed over. The visual warnings (62, 64) are respectively emitted on a floor segment (26) that is assigned to a respective working area segment (24).