All posts by Robotics Research News -- ScienceDaily

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A robust and adaptive controller for ballbots

Ballbots are versatile robotic systems with the ability to move around in all directions. This makes it tricky to control their movement. In a recent study, a team has proposed a novel proportional integral derivative controller that, in combination with radial basis function neural network, robustly controls ballbot motion. This technology is expected to find applications in service robots, assistive robots, and delivery robots.

Scientists optimize biohybrid ray development with machine learning

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and NTT Research, Inc., a division of NTT, announced the publication of research showing an application of machine-learning directed optimization (ML-DO) that efficiently searches for high-performance design configurations in the context of biohybrid robots. Applying a machine learning approach, the researchers created mini biohybrid rays made of cardiomyocytes (heart muscle cells) and rubber with a wingspan of about 10 mm that are approximately two times more efficient at swimming than those recently developed under a conventional biomimetic approach.

Combining millions of years of evolution with tech wizardry: The cyborg cockroach

A research team has developed two new autonomous navigation systems for cyborg insects to better navigate unknown, complex environments. The algorithms utilized only simple circuits that leveraged natural insect behaviors, like wall-following and climbing, to navigate challenging terrain, such as sandy, rock-strewn surfaces. For all difficulties of terrain tested, the cyborg insects were able to reach their target destination, demonstrating the potential of cyborg insects for surveillance, disaster-site exploration, and more.

Biohybrid hand gestures with human muscles

A biohybrid hand which can move objects and do a scissor gesture has been created. The researchers used thin strings of lab-grown muscle tissue bundled into sushilike rolls to give the fingers enough strength to contract. These multiple muscle tissue actuators (MuMuTAs), created by the researchers, are a major development towards building larger biohybrid limbs. While currently limited to the lab environment, MuMuTAs have the potential to advance future biohybrid prosthetics, aid drug testing on muscle tissue and broaden the potential of biohybrid robotics to mimic real-life forms.

Scientists harness AI to help protect whales, advancing ocean conservation and planning

Researchers have developed an artificial intelligence (AI) tool that will help predict endangered whale habitat, guiding ships along the Atlantic coast to avoid them. The tool is designed to prevent deadly accidents and inform conservation strategies and responsible ocean development.

Scientists enhance smart home security with AIoT and WiFi

Artificial Intelligence of Things (AIoT) is becoming immensely popular because of its widespread applications. In a groundbreaking study, researchers present a new AIoT framework called MSF-Net for accurately recognizing human activities using WiFi signals. The framework utilizes a novel approach that combines different signal processing techniques and a deep learning architecture to overcome challenges like environmental interference and achieve high recognition accuracy.

Artificial intelligence improves personalized cancer treatment

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these few parameters are often not enough to understand the complexity of diseases such as cancer. A team of researchers has developed a new approach to this problem using artificial intelligence (AI).
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