ETH Zurich researchers have developed a locomotor control that can enable wheeled-legged robots to autonomously navigate various urban environments.
The robot was equipped with sophisticated navigational abilities thanks to a combination of machine learning algorithms. It was tested in the cities of Seville, Spain, and Zurich, Switzerland.
With little assistance from humans, the team’s ANYmal wheeled-legged robot accomplished autonomous operations in urban settings at the kilometer scale.
This new generative AI model represents a significant advancement in the realm of AI. The model functions as a hybrid, integrating both transformer and recurrent neural network architectures. Additionally, it has been trained on a diverse dataset of over 10 billion tokens from multiple languages and sources.
PR Newswire reported that SenseNova 5.0 underwent over 10TB of token training, covering a large amount of synthetic data.
Traditional AUVs rely on thrusters or pumps to adjust depth, which consumes considerable energy and generates noise. Team BayMax’s design replaces this system with a BCD that employs reversible hydrogen fuel cells. By splitting water into hydrogen and oxygen gases, the BCD can precisely control the ROV’s buoyancy, mimicking the swim bladders found in fish.
This approach offers many advantages. “The cool thing about this for us is that it’s cutting-edge technology,” remarked Bare. We’re the first to implement it in a device with such comprehensive controls, making it truly groundbreaking.”
Professor Ghorbel echoed Bare’s enthusiasm, highlighting the technology’s vast potential. “This highly energy-efficient and silent system has applications beyond AUVs,” he explained. “It holds promise for material intelligence, wearable assistive devices, and even adaptive robotic garments.”
Iontronic neuromorphic computing has only recently broken ground but is developing at a rapid pace. A computer better than the ones living organisms already have (brain) just doesn’t exist.
This idea does spin the mind into theoretical territory around the future of AI and even consciousness.
That aside, the study published around the artificial synapse marks a significant step forward for the future of computers.