Robot Presence Awareness Indicators for Human-Safe Navigation
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Solution Overview
Problem
In environments where humans and autonomous devices, such as robots, interact closely, there is a need for effective communication of the robot's awareness of human presence to ensure safe and predictable interactions, as existing methods may be insufficient in conveying this awareness.
Innovation Solution
The implementation of visual indicators, such as LED rings or projections, that provide awareness of human presence and intended paths to avoid collisions, using sensors like LIDAR and cameras to detect humans and project this information back to humans, allowing for safe navigation and interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a robot uses simple visual indicators like single LED lights to communicate status, then the device complexity is reduced, but the information conveyed about human presence awareness is insufficient
Solution Approach 1:
The visual indicator system is segmented into multiple independent LED elements arranged in specific patterns (e.g., front, rear, left, right positions). Each segment can be independently controlled to convey different information about human presence direction and distance, allowing rich information communication without requiring a single complex indicator.
Solution Approach 2:
Different regions of the visual indicator system serve different functions - front LEDs indicate forward presence, rear LEDs indicate backward presence, etc. The intensity and activation of each local region varies based on the direction and distance of detected humans, providing spatially differentiated information about human presence.
2Loss of information
If a robot projects detailed path information to show awareness, then human understanding of robot intentions is improved, but the device complexity and energy consumption increase
Solution Approach 1:
The projection system displays only the critical portion of the path information - specifically the immediate intended path and key turning points - rather than the complete navigation route. This partial action provides sufficient information for human understanding while consuming less energy and processing resources.
Solution Approach 2:
The projection system updates path information periodically or only when significant changes occur in robot intentions, rather than continuously refreshing. This reduces energy consumption while maintaining effective communication of robot awareness and planned actions to nearby humans.
3Reliability
If a robot uses multiple sensors and visual indicators to communicate awareness, then interaction safety is improved, but the device complexity increases
Solution Approach 1:
The visual indicator system serves multiple functions simultaneously - it indicates human presence detection, communicates robot awareness status, shows intended movement direction, and provides distance information. This multi-functionality achieves comprehensive safety communication without proportionally increasing system complexity.
Solution Approach 2:
Multiple pieces of information (presence detection, direction, distance, intent) that would traditionally require separate indicators are merged into a unified visual display system using LED arrays and projection. This integration reduces the number of separate components needed while maintaining comprehensive safety information.
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
Enhances human-robot interaction safety by clearly indicating the robot's awareness of human presence and intended paths, reducing anxiety and the risk of collisions through visible and understandable signals.
Implementation Method 1
using sensors like LIDAR and cameras to detect humans
Implementation Method 2
using sensors like LIDAR and cameras to detect humans
Data Source
AI summary
One or more signals are received from one or more sensors. Based at least in part on the one or more signals, a location of a person relative to one or more locations of an autonomous self-moving device is determined. Based at least in part on the one or more signals, data indicative that the autonomous self-moving device has detected a presence and location of the person is generated. Based at least in part on the one or more signals, a location of a person relative to a location of the autonomous self-moving device is determined. A planned path for the autonomous self-moving device is determined. Based at least in part on the one or more signals, data indicative of the planned path is generated.