Robohub.org
 

Three new helper robots at the Hsinchu National Taiwan University Hospital


by and
13 August 2021



share this:

The C-Rob Autonomous Mobile Robots | Image credit: NTUH Facebook Page

ADATA Technology has collaborated with researchers at Hsinchu National Taiwan University Hospital (NTUH) to introduce the C-Rob Autonomous Mobile Robots. These robots use Artificial Intelligence (AI) to reduce the workload of healthcare workers as Taiwan continues to combat the Covid-19 pandemic.

Recently, an outbreak of Covid-19 struck Taiwan, and hospitals are prone to becoming hotspots for transmission. When Covid-infected patients enter hospitals, whether for testing or much-needed medical care, hospital staff will often prioritize these patients and devote less time to those visiting the hospital for non-Covid related reasons. On top of this, a clean environment must be maintained, with frequent disinfection to reduce the risk of transmission.

After realizing this problem, researchers at ADATA Technology and NTUH created the C-Rob robots hoping that they will assist hospital staff and help fight the pandemic. As of now, the C-Rob robots serve different purposes: two for disinfection and one for transporting and carrying goods. However, all three are equipped with smart navigation, obstacle avoidance, and the ability to move to the exact desired location accurately.

Disinfectant spraying robot (left) and UV light robot (right) | Image credit: NTUH Facebook Page

The first robot utilizes large UV lights to disinfect large rooms quickly, while the second robot is equipped with two nozzles that can spray disinfectant as needed.

The load-carrying robot consists of small shelving and a tablet stand, allowing hospital staff to have quick access to medical supplies or services.

The first priority of ADATA Technology and NTUH was to officially introduce the C-Rob robots into clinics to reduce the heavy workload of current healthcare workers working in Taiwan to combat Covid-19. The second phase of development will prioritize the optimization of AI algorithms, and the ability to observe behavior patterns of nursing staff (using smart detection) to make smarter decisions using AI.

Load-Carrying Robot | Image credit: NTUH Facebook Page

The C-Rob robots can operate in hospitals and clinics and assist staff by carrying loads, helping to reduce the burden of nursing staff so more energy can be devoted to what should be prioritized: patients’ medical and physiological needs. The C-Rob robots’ disinfectant spraying and ultraviolet sterilization robots effectively clean healthcare facilities; without the need to devote staff to disinfection, hospitals can reduce staff members to further minimize transmission risk.

ADATA and Hsinchu NTUH operate near the heart of Taiwan’s science and technology industry. Yu Zhong-Ren, Dean of Hsinchu NTUH, says that there are plans in place to “apply the technology of smart autonomous mobile robots to medical services through the connection of the medical industry and the technological industry.” ADATA and Hsinchu NTUH hope to use cross-field cooperation to drive the transformation and development of Taiwan’s medical industry. In the future, ADATA and Hsinchu NTUH plan on using the C-Rob robots to create hospital beds that can autonomously navigate and avoid obstacles, further decreasing the burden on hospital staff.

The C-Rob robots were developed by the Hsinchu branch of the National Taiwan University Hospital (NTUH) | Image credit: Undiscovered Taipei



tags:


Zachary Silver is a High School student studying at Taipei American School in Taiwan
Zachary Silver is a High School student studying at Taipei American School in Taiwan

Jonathan Peng is a High School student currently studying at Taipei American School in Taiwan
Jonathan Peng is a High School student currently studying at Taipei American School in Taiwan





Related posts :



A flexible lens controlled by light-activated artificial muscles promises to let soft machines see

  30 Oct 2025
Researchers have designed an adaptive lens made of soft, light-responsive, tissue-like materials.

Social media round-up from #IROS2025

  27 Oct 2025
Take a look at what participants got up to at the IEEE/RSJ International Conference on Intelligent Robots and Systems.

Using generative AI to diversify virtual training grounds for robots

  24 Oct 2025
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Robot Talk Episode 130 – Robots learning from humans, with Chad Jenkins

  24 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.

Robot Talk at the Smart City Robotics Competition

  22 Oct 2025
In a special bonus episode of the podcast, Claire chatted to competitors, exhibitors, and attendees at the Smart City Robotics Competition in Milton Keynes.

Robot Talk Episode 129 – Automating museum experiments, with Yuen Ting Chan

  17 Oct 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Yuen Ting Chan from Natural History Museum about using robots to automate molecular biology experiments.

What’s coming up at #IROS2025?

  15 Oct 2025
Find out what the International Conference on Intelligent Robots and Systems has in store.

From sea to space, this robot is on a roll

  13 Oct 2025
Graduate students in the aptly named "RAD Lab" are working to improve RoboBall, the robot in an airbag.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence