Industrial Scenario Simulation for Spatiotemporal Collision Validation
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Solution Overview
Problem
Current industrial robotics systems face challenges in safely interacting with humans and other objects in dynamic, loosely-constrained environments due to unpredictable human behavior and complex spatial and temporal interactions, leading to difficulties in accurately simulating and verifying collision risks within industrial scenarios.
Innovation Solution
A multi-state simulation method using a static 4D or 5D structure to determine possible object locations and trajectories, evaluate coincident presence probabilities, and perform detailed kinematic calculations to ensure safety thresholds are met, thereby systematically planning and validating industrial scenarios to minimize collision risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If intensive simulation and verification are performed to ensure safety in dynamic industrial environments, then safety validation improves, but computational complexity and resource requirements increase significantly
Solution Approach 1:
The patent segments the continuous simulation space into discrete volumetric cells forming a grid structure. This segmentation allows the system to divide the complex computational domain into manageable units, enabling parallel processing and reducing overall computational complexity while maintaining safety validation accuracy.
Solution Approach 2:
The patent introduces a temporal dimension to the spatial grid, creating a 4D simulation framework that tracks object positions across multiple time steps. This dimensional approach enables efficient prediction of future positions and collision detection without requiring exhaustive simulation of all possible trajectories, thereby reducing computational burden.
2Measurement precision
If detailed kinematic calculations are performed for all possible object interactions, then collision detection accuracy improves, but processing time increases
Solution Approach 1:
The patent performs preliminary calculations of object trajectories and positions at discrete time steps before detailed collision analysis. By pre-computing position data and organizing it in a spatio-temporal grid, the system eliminates the need for repeated real-time calculations during collision detection, significantly reducing processing time while maintaining accuracy.
Solution Approach 2:
The patent replaces traditional continuous mechanical collision detection methods with a discrete computational grid-based approach. Instead of continuously monitoring object positions and calculating intersections, the system uses grid cell occupancy analysis, substituting complex mechanical calculations with simpler computational operations.
3Adaptability or versatility
If the simulation model includes stochastic human behavior and sensory tolerances, then realism of the industrial scenario improves, but predictability and verification difficulty worsen
Solution Approach 1:
The patent models stochastic human behavior and sensory tolerances by introducing probabilistic parameters into the simulation. Instead of deterministic position and orientation values, the system uses probability distributions to represent uncertainty in human actions and sensor measurements, enabling realistic scenario modeling while maintaining mathematical tractability for verification.
Solution Approach 2:
The patent implements feedback mechanisms where simulation results are used to refine and validate the stochastic models. By iteratively comparing simulated outcomes with expected safety requirements and adjusting probability parameters accordingly, the system verifies realistic scenarios while managing verification complexity through data-driven validation.
Data Source
AI summary
Methods and data processing systems simulate and handle anti-collision management for an area of a production plant controlled by a data processing system. The method includes determining possible spatial trajectories of objects, such as humans, production components, stationary and mobile robots, AGV's and the like, in a predefined area in an industrial scenario, such as a production process, an assembling process, material handling, item sorting and the like. A static 4D structure of the area where the possible locations of the objects are determined in terms of their location and the time that the object will be in that location is determined in order to identify potential collision events and remedy those potential collision events.