Groundbreaking soft valve technology enabling sensing and control integration in soft robots

Soft inflatable robots have emerged as a promising solution for applications that require both safety and adaptability. However, integrating sensing and control systems into these robots has been a challenge without compromising their soft and flexible nature. To address this issue, a collaborative research team led by Professor Jiyun Kim from the Department of New Material Engineering and Professor Jonbum Bae from the Department of Mechanical Engineering at UNIST (Ulsan National Institute of Science and Technology) has developed groundbreaking “soft valve” technology. This innovation provides an all-in-one solution by seamlessly integrating sensors and control valves while preserving the softness and form factor of these robots.

Traditionally, soft robots incorporated rigid electronic components for sensing purposes. However, the team’s research introduces a novel approach to overcome this limitation. They have created soft analogs of sensors and control valves that operate without electricity. These tube-shaped components serve a dual function: detecting external stimuli and precisely controlling movement using air pressure alone. By eliminating the need for electricity-dependent components, these all-soft valves enable safe operation underwater or in environments where electrical sparks may pose risks, while also reducing the overall weight of robotic systems. Additionally, each component is cost-effective, with an estimated cost of approximately 800 Korean Won.

Professor Kim explained the significance of their work, stating, “Previous soft robots had flexible bodies but relied on hard electronic parts for stimulus detection sensors and drive control units. Our study focuses on making both sensors and drive control parts using soft materials.”

The research team demonstrated various applications of this innovative technology. They developed universal tongs capable of delicately handling fragile items like potato chips, preventing breakage that can occur with conventional rigid robot hands. Additionally, they used these all-soft components to create wearable elbow assist robots designed to reduce muscle strain during repetitive or strenuous arm movements. The elbow support automatically adjusts according to the angle of the user’s arm, resulting in an average 63% reduction in elbow strain when wearing the robot.

The operation of the soft valve relies on the flow of air within a tube-shaped structure. When tension is applied to one end of the tube, a helically wound thread inside compresses it, thereby controlling the inflow and outflow of air. This accordion-like motion allows for precise and flexible movements without the need for electrical power.

Furthermore, the research team demonstrated that by programming different structures or numbers of threads within the tube, they could accurately control variations in airflow. This programmability enables customized adjustments to suit specific situations and requirements, providing flexibility in the response of the driving unit even when consistent external forces are applied to the end of the tube.

Professor Bae expressed excitement about this development, saying, “These newly developed components can be easily employed using material programming alone, eliminating the need for electronic devices. This breakthrough will significantly contribute to advancements in various wearable systems.”

This groundbreaking soft valve technology represents a significant step toward fully soft, electronics-free robots capable of autonomous operation, a crucial milestone for enhancing safety and adaptability across various industries. The research was supported by various organizations, including Korea’s National Research Foundation (NRF), Korea Institute of Materials Science (KIMS), and Korea Evaluation Institute of Industrial Technology.

Posted in

Aihub Team

Leave a Comment





AI in Agriculture

AI in Agriculture

The Future of Intelligent Content Management, Semantic AI, and Content Impact

The Future of Intelligent Content Management, Semantic AI, and Content Impact

The Future of Enterprise Content in the Era of AI

The Future of Enterprise Content in the Era of AI

The Art of the Practical - Making AI Real

The Art of the Practical – Making AI Real

AI: Making Data Protection Simpler

AI: Making Data Protection Simpler

Will Generative AI Aid Instead of Replace Workers?

Will Generative AI Aid Instead of Replace Workers?

UK: AI’s Impact on Workplace Safety

UK: AI’s Impact on Workplace Safety

Stay Abreast of Laws Restricting AI in the Workplace

Stay Abreast of Laws Restricting AI in the Workplace

Oracle introduces generative AI capabilities to support HR functions and productivity

Oracle introduces generative AI capabilities to support HR functions and productivity

Discovering hidden talent: How AI-powered talent marketplaces benefit employers

Discovering hidden talent: How AI-powered talent marketplaces benefit employers

Understanding Machine Learning Algorithms

Understanding Machine Learning Algorithms

Understanding Generative Adversarial Networks (GANs)

Understanding Generative Adversarial Networks (GANs)

The Impact of AI on the Job Market and Future of Work

The Impact of AI on the Job Market and Future of Work

The Basics of Artificial Intelligence

The Basics of Artificial Intelligence

Reinforcement Learning: Training AI Agents to Make Decisions

Reinforcement Learning: Training AI Agents to Make Decisions

Natural Language Processing Unleashing the Power of Text

Natural Language Processing Unleashing the Power of Text

How AI is Transforming Industries

How AI is Transforming Industries

Exploring Neural Networks and Deep Learning

Exploring Neural Networks and Deep Learning

Ethical Considerations in Artificial Intelligence

Ethical Considerations in Artificial Intelligence

Computer Vision and Image Recognition in AI

Computer Vision and Image Recognition in AI

ARTIFICIAL INTELLIGENCE IN LOGISTICS

ARTIFICIAL INTELLIGENCE IN LOGISTICS

On Artificial Intelligence - A European approach to excellence and trust

On Artificial Intelligence – A European approach to excellence and trust

AI in Healthcare Advancements and Applications

AI in Healthcare Advancements and Applications

AI in Financial Services: Opportunities and Challenges

AI in Financial Services: Opportunities and Challenges

AI in Customer Service: Improving User Experience

AI in Customer Service: Improving User Experience

AI and Robotics: Synergies and Applications

AI and Robotics: Synergies and Applications

AI and Data Science: Bridging the Gap

AI and Data Science: Bridging the Gap

Top 10 emerging AI and ML uses in data centres

Top 10 emerging AI and ML uses in data centres

Piero Molino, Predibase: On low-code machine learning and LLMs

Piero Molino, Predibase: On low-code machine learning and LLMs

OpenAI’s first global office will be in London

OpenAI’s first global office will be in London