Autonomous Mobility Coordination Using Object Kinematic Prediction
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Solution Overview
Problem
Current motorized mobile systems (MMSs) lack the ability to adapt to the varying abilities and needs of users with different physiological and cognitive conditions, leading to inadequate safety, security, and social independence.
Innovation Solution
The development of integrated software and hardware systems, sensors for situational awareness and user monitoring, communication systems between users and caregivers, and human-machine interfaces (HMIs) designed for users with diverse conditions, utilizing new technologies, architectures, and network topologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If motorized mobile systems use traditional mechanical control systems, then the system structure is simple, but the system cannot adapt to users with varying physiological and cognitive conditions
Solution Approach 1:
The patent replaces traditional mechanical control systems with electronic control systems using drive-by-wire technology. This substitution enables the system to adapt to users with varying physiological and cognitive conditions through electronic actuators and human-machine interfaces, while maintaining system simplicity through standardized electronic architectures.
Solution Approach 2:
The patent implements universal control systems that can serve multiple user types with different abilities. The electronic control architecture supports various input methods and adjustment capabilities, allowing the same system to adapt to users with different physiological and cognitive conditions without requiring multiple specialized systems.
2Reliability
If motorized mobile systems implement coordinated autonomous operation with multiple devices, then user safety and independence are improved, but system complexity and communication requirements increase
Solution Approach 1:
The patent merges multiple mobile devices into a coordinated system through wireless communication. The first mobile device (wheelchair) and second mobile device (companion device) work together as an integrated system, sharing control and communication functions to improve user safety and independence while managing complexity through standardized communication protocols.
Solution Approach 2:
The patent uses wireless communication networks as intermediaries to coordinate between multiple devices. The communication system acts as a mediator that enables safe autonomous operation without requiring direct physical connections or complex wired integrations between devices.
3Adaptability or versatility
If motorized mobile systems use electronic control systems, then adaptability to different users is improved, but energy consumption increases
Solution Approach 1:
The patent optimizes energy consumption by dynamically adjusting electronic control system parameters. The system can switch between different operational modes and adjust actuator performance levels based on user needs and environmental conditions, reducing energy consumption while maintaining adaptability to different users.
Data Source
AI summary
A processing system is for a motorized mobile system that provides powered mobility to one or more users. The motorized mobile system may consist, for example, of one or more of a mobile chair, a mobility scooter, an electronic conveyance vehicle, a riding lawn mower, a grocery cart, an all-terrain vehicle, an off-road vehicle, and a golf cart. The processing system comprises at least one sensor to measure one or more kinematic states of an object proximate to the motorized mobile system and at least one processor to use at least one object kinematic model as at least one state estimator. The at least one processor predicts a first kinematic state estimate of the object at a first time based on a prior knowledge of state for the object. The at least one processor uses the first kinematic state estimate of the object at the first time and a measured kinematic state observed by the sensor at a second time to determine a second kinematic state estimate of the object at the second time, wherein the first time is less than the second time. The at least one processor outputs the first kinematic state estimate at the first time from the object kinematic model for use by at least one other process of the motorized mobile system, wherein the at least one other process causes one or more actions to be taken by the motorized mobile system based on the first kinematic state estimate of the object at the first time. The at least one processor uses the second kinematic state estimate at the second time as an input to the object kinematic model to predict another kinematic state estimate of the object.