Artificial Vision With Neural Sensory Feedback for Precise Robot Control
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Solution Overview
Problem
Current robotic technologies face limitations such as high development costs, job loss concerns, and reduced precision and accuracy in autonomous, human-machine interface, and brain-computer interface robots, necessitating a new approach for efficient and accurate robotic operations.
Innovation Solution
A perception robotics system that transfers human senses from a robot to a human in real-time over distances using a robotic system with sensors, processing circuitry, and an implant device capable of artificial sensory stimulation, allowing for closed-loop control and enhanced precision and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous robots are used to perform tasks with high accuracy and precision, then productivity is improved, but development costs increase and job losses occur
Solution Approach 1:
The patent introduces a human operator as an intermediary between the robot and the task control. The operator receives sensory feedback from the robot and provides high-level guidance, allowing the robot to perform complex tasks without requiring full autonomous intelligence, thereby reducing development costs while maintaining high accuracy
Solution Approach 2:
The control system is segmented into two parts: autonomous low-level control for precise execution and human high-level decision-making for complex judgments. This segmentation allows the robot to achieve high productivity through autonomous precision while the human operator handles complex decision-making, reducing overall system complexity and development costs
2Measurement precision
If HMI robots are used to enhance human experience and reduce errors, then precision is improved, but operation is limited to when human is available
Solution Approach 1:
The system enables continuous operation by having the robot autonomously perform tasks during periods when human operators are unavailable, while maintaining the ability to receive human guidance when needed. This ensures both high precision through human-in-the-loop control and continuous productivity
3Productivity
If BCI robots are used to operate independently 24/7, then productivity is improved, but precision and accuracy are reduced
Solution Approach 1:
The system implements a feedback loop where the robot continuously transmits sensory information to the human operator, who provides corrective guidance when needed. This feedback mechanism allows the robot to operate autonomously 24/7 while maintaining high accuracy through periodic human verification and correction
4Adaptability or versatility
If AI is extensively used in robotic systems, then adaptability is improved, but reliance on AI increases
Solution Approach 1:
The robot uses simple autonomous control for routine tasks and only engages human operators when complex adaptability is needed. This self-service approach allows the system to maintain high adaptability for routine operations without requiring complex AI, reducing AI dependency while preserving versatility
Data Source
AI summary
Embodiments may provide perception robotics that transfers human senses from a robot to a human so the human experiences the perception of the robot. A system may comprise a robotic system comprising a plurality of actuators and sensors, the sensors adapted to obtain a plurality of sensory information relating to a state and surroundings of the robotic system, processing circuitry adapted to transform the obtained sensory information to control signals for generating sensory stimulation control signals, communication circuitry adapted to transmit the sensory stimulation control signals to an implanted device to perform artificial sensory stimulation, and an implant device adapted to be implanted within a body of the person for interacting with brain tissue to perform artificial sensory stimulation, wherein the implant device is adapted to receive the sensory stimulation control signals, generate sensory stimulation signals based on the control signals, and apply the sensory stimulation signals to neural tissue.