Robot Feedback Modes for Human-Aware Operation Cues
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Robotic systems lack effective methods to interact with humans and provide feedback on their environment and tasks, which is crucial for ensuring safety and efficiency in various applications.
Innovation Solution
A robotic system equipped with sensors and processors that determine a model of its environment, assess its state and intended operation, and selectively engages in visual, auditory, or movement-based feedback to convey information about its state, intentions, and safety concerns to humans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robotic systems operate autonomously in complex environments, then productivity and efficiency are improved, but the ability to effectively communicate with humans and provide feedback deteriorates
Solution Approach 1:
The patent implements multiple feedback channels including visual indicators (LEDs, displays), auditory indicators (speakers, buzzers), and haptic feedback (vibrations) to communicate robot state, intentions, and environmental information to humans. This resolves the contradiction by establishing comprehensive feedback mechanisms that maintain productivity while improving human-robot communication.
Solution Approach 2:
The feedback system is segmented into multiple independent channels (visual, auditory, haptic) that can operate simultaneously or independently. This allows the robot to convey different types of information through different modes, ensuring effective communication without compromising operational efficiency.
2Reliability
If robotic systems provide comprehensive feedback to humans, then interaction efficiency and safety are improved, but device complexity increases
Solution Approach 1:
The patent employs multi-functional feedback components that can serve multiple purposes. For example, visual indicators can display both operational status and warnings, while auditory indicators can provide both information and alerts. This reduces overall system complexity while maintaining comprehensive safety feedback.
Solution Approach 2:
The feedback system dynamically selects and adjusts the type, intensity, and combination of feedback modes based on the current operational context and detected human presence. This adaptive approach ensures appropriate safety communication without requiring all feedback components to operate continuously, thereby reducing complexity.
3Loss of information
If robotic systems use multiple feedback modes, then communication effectiveness is improved, but energy consumption increases
Solution Approach 1:
The system dynamically activates only the necessary feedback modes based on real-time assessment of human presence, task criticality, and environmental conditions. Low-power modes are used during autonomous operation without nearby humans, while higher-power multi-modal feedback is activated only when humans are detected or safety concerns arise, optimizing energy efficiency while maintaining communication effectiveness.
Solution Approach 2:
The feedback system employs periodic sensing and selective activation rather than continuous operation. The robot periodically checks for human presence and activates appropriate feedback modes only when needed, reducing energy consumption while ensuring effective communication during critical interactions.
Data Source
AI summary
Example implementations may relate to a robotic system configured to provide feedback. In particular, the robotic system may determine a model of an environment in which the robotic system is operating. Based on this model, the robotic system may then determine one or more of a state or intended operation of the robotic system. Then, based one or more of the state or the intended operation, the robotic system may select one of one or more of the following to represent one or more of the state or the intended operation: visual feedback, auditory feedback, and one or more movements. Based on the selection, the robotic system may then engage in one or more of the visual feedback, the auditory feedback, and the one or more movements.