We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App




3D-Printed “Meta-Bots” Could Pave Way for Robotic Self-Steering Endoscopes

By HospiMedica International staff writers
Posted on 24 Jun 2022
Print article
Image: 3D-printed “meta-bot” capable of propulsion, movement, sensing and decision-making (Photo courtesy of UCLA)
Image: 3D-printed “meta-bot” capable of propulsion, movement, sensing and decision-making (Photo courtesy of UCLA)

Most robots, no matter their size, are typically built in a series of complex manufacturing steps that integrate the limbs, electronic and active components. The process results in heavier weights, bulkier volumes and reduced force output compared to robots that could be built using this new method. Now, a team of engineers has developed a new design strategy and 3D printing technique to build robots in one single step. The methodology could lead to new designs for biomedical robots, such as self-steering endoscopes or tiny swimming robots, which can emit ultrasounds and navigate themselves near blood vessels to deliver drug doses at specific target sites inside the body.

In a study, the engineers at UCLA (Los Angeles, CA, USA) outlined the advance, along with the construction and demonstration of an assortment of tiny robots that walk, maneuver and jump. The breakthrough enabled the entire mechanical and electronic systems needed to operate a robot to be manufactured all at once by a new type of 3D printing process for engineered active materials with multiple functions (also known as metamaterials). Once 3D printed, a “meta-bot” will be capable of propulsion, movement, sensing and decision-making. The printed metamaterials consist of an internal network of sensory, moving and structural elements and can move by themselves following programmed commands. With the internal network of moving and sensing already in place, the only external component needed is a small battery to power the robot.

The team demonstrated the integration with an on-board battery and controller for the fully autonomous operation of the 3D printed robots - each at the size of a finger nail. The key in the all-in-one method is the design and printing of piezoelectric metamaterials - a class of intricate lattice materials that can change shape and move in response to an electric field or create electrical charge as a result of physical forces. The use of active materials that can translate electricity to motions is not new. However, these materials generally have limits in their range of motion and distance of travel. They also need to be connected to gearbox-like transmission systems in order to achieve desired motions.

By contrast, the UCLA-developed robotic materials - each the size of a penny - are composed of intricate piezoelectric and structural elements that are designed to bend, flex, twist, rotate, expand or contract at high speeds. The team also presented a methodology to design these robotic materials so users could make their own models and print the materials into a robot directly. Using the technique, the team built and demonstrated three “meta-bots” with different capabilities. One robot can navigate around S-shaped corners and randomly placed obstacles, another can escape in response to a contact impact, while the third robot could walk over rough terrain and even make small jumps.

“We envision that this design and printing methodology of smart robotic materials will help realize a class of autonomous materials that could replace the current complex assembly process for making a robot,” said the study’s principal investigator Xiaoyu (Rayne) Zheng, an associate professor of civil and environmental engineering, and of mechanical and aerospace engineering at the UCLA Samueli School of Engineering. “With complex motions, multiple modes of sensing and programmable decision-making abilities all tightly integrated, it’s similar to a biological system with the nerves, bones and tendons working in tandem to execute controlled motions.”

Related Links:
UCLA 

Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
12-Channel ECG
CM1200B
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Pre-Op Planning Solution
Sectra 3D Trauma

Print article

Channels

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.