Force-Multiplying Mobile Robot With Handlebar Force Control
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Solution Overview
Problem
Conventional autonomous and semi-autonomous robots often require specialized user interfaces and training for operation, are difficult to adapt to changing environments, and lack effective interaction mechanisms with human workers, leading to inefficiencies and increased costs.
Innovation Solution
The implementation of an omnidirectional, backdrivable, and holonomic mobile robot with force sensors and handlebars that allow user control through force input, combined with localized processing and semantic perception to differentiate between people and objects, enabling rapid deployment and easy workflow adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional control interfaces (graphical user interface) are used for robot operation, then user control capability is provided, but user accessibility and ease of operation are limited for workers without specific training
Solution Approach 1:
The patent replaces conventional graphical user interface control with direct physical force input through handlebars. Workers can naturally push, pull, and guide the robot using intuitive mechanical interactions rather than learning complex software interfaces. The force sensor translates these natural physical gestures into control commands, making the robot accessible to any worker regardless of technical training.
2Adaptability or versatility
If autonomous operation mode is used, then operational independence is achieved, but adaptability to changing environments and human interaction capability are reduced
Solution Approach 1:
The patent implements dynamic switching between autonomous and manual control modes, allowing the robot to adapt its level of automation based on environmental needs. The force-sensitive handlebars enable workers to intervene when adaptability is required while allowing autonomous operation during routine tasks. This dynamic control architecture provides both operational independence and environmental adaptability.
3Measurement precision
If force sensors with high sensitivity are implemented, then user force input detection precision is improved, but system complexity and cost increase
Solution Approach 1:
The force sensor integrated into the handlebars serves multiple functions: detecting user push/pull forces, determining directional guidance input, and enabling both manual and autonomous operation modes. This multi-functional approach achieves high measurement precision without proportionally increasing system complexity, as the same sensor infrastructure supports multiple control paradigms.
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
Facilitates rapid onboarding, reduces operational costs, enhances human interaction, and improves safety and responsiveness by allowing user-friendly control and adaptability to dynamic environments.
Implementation Method 1
the force sensor may include a Hall effect sensor configured to detect a change in a magnetic field
Data Source
AI summary
A mechanical drive unit for a robot may be controlled by receiving from a force sensor an input message characterizing a physical force exerted on the force sensor in a first direction. A physical force input vector may be determined based on the input message and quantifying the physical force in two or more dimensions. A force output vector aggregating the physical force input vector and a second force input vector and quantifying a force to apply to move the robot in a second direction may be determined at least in part by applying a force multiplier multiplying the physical force input vector. An indication of the force output vector may be transmitted to the omnidirectional mechanical drive unit via a communication interface. The robot may be moved via the mechanical drive unit in the second direction based on the force output vector.


