Force-Multiplying Mobile Robot With Handlebar Force Control

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

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

VSEngineering 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

Engineering Contradiction:
Improveuser accessibilityVSAvoidcontrol interface complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

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.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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

Engineering Contradiction:
Improveenvironmental adaptabilityVSAvoidautonomous operation level
Core Design Contradiction:
Adaptability or versatilityVSExtent of automation

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.

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If force sensors with high sensitivity are implemented, then user force input detection precision is improved, but system complexity and cost increase

Engineering Contradiction:
Improveforce detection precisionVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

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.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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

Methodology Applied
Scientific EffectHall effect: Hall Effect

Data Source

PatentUS20250278087A1Force Multiplying Mobile Robot
Publication Date: 2025.09.04 ROBUST AI INC
  • US20250278087A1 patent drawing
  • US20250278087A1 patent drawing
  • US20250278087A1 patent drawing

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.