This 3D printed gripper doesn’t need electronics to function

Researchers at the University of California San Diego, in collaboration with the BASF corporation, have developed a remarkable soft robotic gripper that boasts unique features. This gripper is 3D printed in one piece and does not require any electronics to function effectively.

The team’s objective was to create a soft gripper that could be used immediately after being 3D printed, complete with built-in gravity and touch sensors. The result is a gripper capable of picking up, holding, and releasing objects, a feat not achieved by any gripper before.

The gripper’s design incorporates a series of valves that enable it to grip upon contact and release at the right moment. Yichen Zhai, the leading author of the paper detailing the research, explains that by simply turning the gripper horizontally, a change in airflow triggers the release of the object held by its two fingers.

One of the remarkable aspects of this gripper is its fluidic logic, allowing it to remember when it has grasped an object and is holding onto it. When it senses the weight of the object pushing to the side as it rotates horizontally, it intuitively releases the object.

Soft robotics has great potential for safe human-robot interactions and delicate object handling. This gripper can be mounted on a robotic arm for various industrial manufacturing applications, such as food production and handling fruits and vegetables. It can also be used in research and exploration tasks. Furthermore, it can operate untethered, requiring only a bottle of high-pressure gas as its power source.

To overcome common issues faced with 3D-printed soft robots, such as stiffness, leaks, and the need for extensive post-processing and assembly, the researchers developed a new 3D printing method. Their innovative approach involves the printer nozzle tracing a continuous path through each layer, much like drawing a picture without lifting the pencil off the page. This method significantly reduces the likelihood of leaks and defects in the printed piece.

Additionally, the new printing method allows for the creation of thin walls, as small as 0.5 millimeters thick. This, in turn, results in a softer and more deformable structure, as the complex, curved shapes enable a higher range of deformation. The researchers based their method on the Eulerian path in graph theory, ensuring consistent printing of functional pneumatic soft robots with embedded control circuits.

This groundbreaking soft robotic gripper represents a significant step forward in robotics, with potential applications in various industries and research fields.

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