Human-Robots Autonomous Support System
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Solution Overview
Problem
Current technologies lack a solution for creating autonomous, adaptable, and human-like robotic systems that can efficiently interact with humans, animals, and nature, providing support in various tasks such as education, healthcare, and security while maintaining safety and privacy.
Innovation Solution
The development of Human-Robots (HRs) that are autonomous, highly communicative, and versatile, capable of mimicking human behavior and emotions, equipped with advanced AI and ML to perform multiple tasks, and designed to work autonomously in close proximity to humans and animals, using a combination of electromechanical technologies for mobility, communication, and task execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If autonomous human-like robotic systems are developed to interact with humans and animals, then adaptability and versatility are improved, but safety and privacy risks increase
Solution Approach 1:
The patent introduces multiple intermediary layers including ethical AI modules that mediate between autonomous decision-making and safety constraints, communication interfaces that mediate human-robot interaction, and privacy protection layers that mediate data collection and protection. These intermediaries enable adaptability while preventing harmful outcomes.
Solution Approach 2:
The system employs dynamic safety protocols that adapt in real-time based on environmental context, user preferences, and risk assessment. The robotic system can dynamically adjust its behavior, communication style, and data collection practices to maintain safety while preserving versatility across different situations.
2Adaptability or versatility
If autonomous human-like robotic systems are developed to interact with humans and animals, then adaptability and versatility are improved, but ethical and privacy concerns worsen
Solution Approach 1:
The patent implements localized privacy protection mechanisms that apply different privacy levels to different data types, interaction contexts, and user groups. Sensitive information receives enhanced protection while non-sensitive data can be utilized for system improvement, enabling versatility without compromising privacy.
Solution Approach 2:
The system incorporates continuous feedback loops where user privacy preferences are detected, processed, and used to adjust data collection and processing behaviors in real-time. This feedback mechanism ensures versatility in service delivery while respecting evolving privacy requirements.
3Productivity
If Human-Robots are deployed to work in close proximity to humans, then human well-being and productivity are improved, but device complexity increases
Solution Approach 1:
The patent designs Human-Robots with universal multi-functional capabilities that allow a single platform to perform diverse tasks including caregiving, education, security, and collaboration. This universality reduces the need for multiple specialized systems while maintaining high productivity across different application domains.
Solution Approach 2:
The complex robotic system is segmented into modular functional units including locomotion modules, manipulation modules, sensing modules, and AI processing modules. This segmentation enables independent development, testing, and maintenance of each component while integrating them into a cohesive high-productivity system.
4Productivity
If Human-Robots are equipped with advanced AI and ML capabilities, then task performance and intelligence are improved, but manufacturing complexity and cost increase
Solution Approach 1:
The patent employs standardized AI model templates and pre-trained machine learning frameworks that can be copied and deployed across multiple robotic units. This copying approach enables consistent high-performance task execution while reducing manufacturing complexity through reuse of proven AI architectures rather than custom development for each unit.
Data Source
AI summary
Higher demands for adaptable, scalable and automated human resources, capabilities and services, such as human well-being, safety and security, universal health care system and educational institutions, are growing in our societies, leading the way to the creation of a new artificially-intelligent support system that can facilitate the lives of the many. The current invention aims to help resolve such issues by offering a relief system that uses a new robotic specie, called Human-Robots (HRs) and that are intended to improve the quality of our lives in terms of education, health-care, well-being, safety and security. The new specie may autonomously work and move in close proximities with and among HBs and within their natural environments, to share their workloads and tasks and is especially tuned to their well-beings and of their surroundings. The robotic specie is reliant on a standard reconfigurable system and platform that can take multiple shapes, be modular, incremental, scalable, mobile, intelligent, connected, social, and possibly fully-autonomous. The new HR society will form the new race of autonomous personal and public service providers and take part in our society as a new specie.