All posts by Robotics News - Robot News, Robotics, Robots, Robotics Sciences

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Combining next-token prediction and video diffusion in computer vision and robotics

In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you've likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users' queries. There are also full-sequence diffusion models like Sora, which convert words into dazzling, realistic visuals by successively "denoising" an entire video sequence.

Engineering research discovers critical vulnerabilities in AI-enabled robots

Within its new Responsible Innovation initiative, researchers at Penn Engineering discovered that certain features of AI-governed robots carry security vulnerabilities and weaknesses that were previously unidentified and unknown. The research aims to address the emerging vulnerability for ensuring the safe deployment of large language models (LLMs) in robotics.

Touching the future: Mastering physical contact with new algorithm for robots

Penn Engineers have developed a new algorithm that allows robots to react to complex physical contact in real time, making it possible for autonomous robots to succeed at previously impossible tasks, like controlling the motion of a sliding object.

Study uncovers how silkworm moth’s odor detection may improve robotics

The silkworm moth (Bombyx mori) is an insect that no longer flies due to domestication. The males use their antennae to detect pheromones emitted by females and respond very acutely, and have been used as model insects for the study of their odor source localization.

Low-cost touch sensor shows promise for large-scale robotics applications

The development of affordable and highly performing sensors can have crucial implications for robotics research, as it could improve perception to help boost robot manipulation and navigation. In recent years, engineers have introduced a wide range of advanced touch sensor devices, which can improve the ability of robots to detect tactile signals, using the information they gather to guide their actions.

Researchers tout effectiveness of individual optimization algorithms for human–robot interactions

A patient recovering from a limb amputation won't use a prostheses that isn't comfortable. A person rehabbing from a stroke won't use a robotic exoskeleton if the mobility it grants doesn't allow them to perform everyday activities. And a diabetes patient won't use an insulin pump that doesn't deliver the appropriate dosage of medicine to control their blood sugar.

Reconfigurable manipulator robot designed to inspect pipes in challenging environments

The Interactive and Robotic Systems Lab (IRS) group at the Universitat Jaume I of Castelló has developed a mobile, lightweight, modular and reconfigurable manipulator robot, which includes a remote control station with 3D perception, modular and multi-device 3D simulation software that implements a digital twin for operator training, with the aim of operating in hazardous scenarios for human health, initially in the inspection of plastic pipes by probing and artificial vision.

Octopus-inspired adhesive shows promise for underwater salvage operations

Using mechanisms inspired by nature to create new technological innovations is a signature of one Virginia Tech research team. The group led by Associate Professor Michael Bartlett has created an octopus-inspired adhesive, inspired by the shape of octopus suckers, that can quickly grab and controllably release challenging underwater objects.

Meet the robotic ‘finger’ ready to check your pulse

Researchers at the University of Science and Technology of China have developed a soft robotic "finger" with a sophisticated sense of touch that can perform routine doctor's office examinations, including taking a patient's pulse and checking for abnormal lumps. This work was published October 9 in Cell Reports Physical Science.

Soft robotics redefined: Meet the light-driven toroidal micro-robot that navigates viscous liquids autonomously

Researchers from Tampere University in Finland and Anhui Jianzhu University in China have made a significant breakthrough in soft robotics. Their study introduces the first toroidal, light-driven micro-robot that can move autonomously in viscous liquids, such as mucus. This innovation marks a major step forward in developing micro-robots capable of navigating complex environments, with promising applications in fields such as medicine and environmental monitoring.
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