Robotic Cart Handlebar Sensing for Safe Human-Guided Navigation
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Solution Overview
Problem
Existing robotic solutions face challenges in effectively interacting with humans in dynamic environments due to the complexity and unpredictability of human behavior.
Innovation Solution
The development of robotic carts equipped with sensors and control units that enable them to map their surroundings, detect and avoid obstacles, including humans, and switch between autonomous and manual operation modes based on human input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robotic carts operate autonomously in environments with humans, then productivity is improved, but safety and reliability deteriorate due to unpredictable human behavior
Solution Approach 1:
The robotic cart performs preliminary actions by mapping the environment and detecting obstacles before autonomous navigation begins. The sensor units continuously scan and build a map of the surroundings, identifying potential hazards such as humans, objects, and terrain features in advance, allowing the cart to plan safe paths before execution.
Solution Approach 2:
The robotic cart implements feedback mechanisms through sensor units that continuously monitor the environment during operation. When humans or obstacles are detected, the system receives feedback signals and adjusts its navigation in real-time. The handlebar sensor provides feedback when a human grasps it, enabling mode switching between autonomous and manual operation.
2Adaptability or versatility
If robotic carts are equipped with multiple sensors and control units for human interaction, then adaptability is improved, but device complexity increases
Solution Approach 1:
The sensor units serve multiple functions: they detect humans, map the environment, identify obstacles, and provide input for both autonomous navigation and manual mode triggering. The handlebar component integrates both structural support and sensor integration for mode switching, reducing the need for separate dedicated components for each function.
Solution Approach 2:
The patent combines multiple sensing capabilities into integrated sensor units that perform environmental mapping, human detection, and obstacle identification simultaneously. The control unit merges autonomous navigation control and manual mode control into a single system that responds to handlebar sensor input, simplifying the overall architecture while maintaining versatility.
3Ease of operation
If robotic carts switch between autonomous and manual modes, then ease of operation is improved, but reliability may worsen due to mode transition errors
Solution Approach 1:
The handlebar sensor unit provides feedback when a human grasps the handlebar, automatically triggering the mode transition from autonomous to manual operation. This feedback mechanism ensures that mode switching occurs only when explicitly requested by a human user, reducing the risk of unintended transitions and improving reliability during mode changes.
Data Source
AI summary
This application describes systems, devices, computer readable media, and methods for the function and operation of robotic carts. A robotic cart may include a base component configured for the receipt of a payload, a battery unit, and a mobility apparatus. The robotic cart may include a handlebar component coupled with the base component. The handlebar unit may include a sensor unit configured to transmit a hand detection message when the handlebar unit is grasped by one or more hands and to transmit a force direction message indicating a two-dimensional direction associated with a directional force applied by one or more hands. The robotic cart may be configured to map the area around it and to autonomously move the robotic cart along a path to perform a task.