Autonomous Robot Motion Characterization for Triggered Odometry Testing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for characterizing the motion of autonomous mobile robots are slow, non-portable, inaccurate, and expensive, requiring manual resetting and are affected by data transmission latencies, especially at higher speeds, which impact safety and efficiency.
Innovation Solution
A motion characterization system for autonomous mobile robots that includes an odometry system, a triggering component, a storage component, and a motion characterization processor to collect and analyze vehicle motion data in response to triggering events, allowing for automated data collection and processing without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing testing solutions are used to characterize vehicle motion, then data collection can be performed, but the system is slow, not portable, inaccurate, and expensive
Solution Approach 1:
The patent uses optical copying and image capture techniques to create accurate representations of vehicle motion without requiring complex physical measurement instruments. Cameras capture visual data that is processed to derive motion characteristics, replacing traditional complex measurement systems with optical copying methods.
Solution Approach 2:
The patent replaces mechanical measurement systems with computational and optical methods. Instead of using physical sensors and mechanical gauges, the system uses image processing algorithms and computer vision to measure and characterize vehicle motion, achieving high precision without mechanical complexity.
2Ease of operation
If manual resetting is performed with each trial, then testing can be conducted, but the process requires human intervention and is time-consuming
Solution Approach 1:
The system automatically resets and repositions itself between trials without human intervention. The automated resetting mechanism allows the testing system to prepare for the next trial independently, eliminating the need for manual resetting and significantly reducing the time lost between test runs.
Solution Approach 2:
The system performs preliminary setup and positioning actions automatically before each trial begins. By pre-configuring the testing environment and robot position in advance, the system eliminates time-consuming manual preparation steps and enables rapid sequential testing.
3Productivity
If human operators position and reposition obstacles manually, then testing can be performed, but productivity is reduced and time is lost
Solution Approach 1:
The patent replaces manual obstacle positioning with automated robotic manipulation. Robots equipped with sensors and control systems automatically place, remove, and reposition obstacles according to test requirements, eliminating the need for human operators to manually handle physical objects and significantly improving testing productivity.
Solution Approach 2:
The testing system automatically manages obstacle configuration without human intervention. The system independently determines when and where obstacles should be positioned, executes the positioning automatically, and prepares for the next test configuration, enabling continuous high-speed testing operations.
4Reliability
If data transmission is performed between system parts, then information is communicated, but indeterminate latencies affect result quality, especially at increased speeds
Solution Approach 1:
The patent combines data collection, processing, and analysis functions into an integrated system that operates in real-time. By merging these functions and processing data locally at the source rather than transmitting raw data back and forth, the system eliminates transmission latencies and ensures reliable operation even at high vehicle speeds.
Data Source
AI summary
A method and system are provided for characterizing a vehicle motion of an autonomous mobile robot in response to a triggering event. The method and system involve an autonomous mobile robot and a vehicle processor operable to navigate the autonomous mobile robot. The system further includes a motion characterization system coupled to the autonomous mobile robot, the motion characterization system comprising an odometry system operable to collect vehicle motion data associated with the vehicle motion; a triggering component; a storage component for storing an event start time, an event end time and the vehicle motion data between the event start time and the event end time; and a motion characterization processor operable to: receive an initialization input to initiate the triggering event; generate a trigger signal to cause the triggering component to cause the triggering event; and identify the event start time and an event end time.