Autonomous E-Bike Balance Control Using Neural Motor Outputs
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current transportation solutions for short distances, such as traditional public transportation, taxis, and bikeshare services, are often inconvenient, inflexible, and costly, lacking user agency in route selection and requiring extensive infrastructure, which hinders efficient on-demand transportation within city centers.
Innovation Solution
An autonomous electronic bicycle system that allows bicycles to be requested on-demand, autonomously navigated to the user, and switched to manual mode for riding, reducing the need for extensive infrastructure and providing user-controlled route selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If public bikeshare services use many static pickup points with large numbers of vehicles, then service coverage is improved, but infrastructure expense increases
Solution Approach 1:
The patent applies dynamics by transitioning from static pickup points to dynamic, mobile robots that can autonomously navigate and position themselves. The robots move on demand to pick up and deliver users, eliminating the need for fixed infrastructure while maintaining service coverage. This dynamic approach allows the system to adapt to changing user needs and optimize vehicle distribution without requiring extensive static infrastructure.
2Ease of operation
If traditional transportation services are used, then transportation is provided, but user agency in route selection is lost
Solution Approach 1:
The patent implements self-service by enabling users to independently select their own routes and destinations through a mobile application. The autonomous robots execute the user-chosen routes without requiring a driver or dispatcher to make decisions. This gives users full control and agency over their transportation experience while maintaining ease of operation through automated vehicle execution.
3Ease of operation
If taxi or rideshare services are used for short trips, then transportation is provided, but cost increases
Solution Approach 1:
The patent extracts the driver component from the traditional taxi model, creating autonomous vehicles that eliminate the need for human operators. This extraction reduces operational costs significantly while maintaining the convenience and ease of operation of on-demand transportation services. The autonomous robots provide the same user experience as taxi services but without the high cost structure associated with driver wages and management.
4Quantity of substance
If autonomous electronic bicycles are deployed, then infrastructure expense is reduced, but balancing control complexity increases
Solution Approach 1:
The patent replaces complex mechanical balancing systems with electronic control systems. Sensors detect the bicycle's tilt and position, and electronic motors automatically adjust to maintain balance and enable autonomous movement. This substitution of mechanical systems with electronic ones reduces overall infrastructure complexity while providing precise control for autonomous operation.
Data Source
AI summary
An autonomous electronic bicycle comprises a frame, a front wheel that can be powered by a first electronic motor, a rear wheel that can be powered by a second electronic motor, and handlebars that can steer the front wheel which can be controlled by a third electronic motor. Similarly, the autonomous electronic bicycle can comprise a set of sensors used for balance. The autonomous electronic bicycle can use the balance sensors to determine a current state of the autonomous electronic bicycle and drive the electronic motors to balance the autonomous electronic bicycle and achieve a target pose of the autonomous electronic bicycle. A neural network can be trained to determine one or more motor outputs of the autonomous electronic bicycle based on the target pose and the current state.