Science

A new framework streamlines robot skill adaptation by combining physical guidance, spoken commands, and visual interfaces, opening up programming to a wider range of users.

A new system aims to accelerate theoretical machine learning research by systematically combining computational power with human insight.

A new framework uses autoencoders to create simplified models of robot movement, allowing researchers to predict and guarantee stable locomotion.

A new generation of laser-based instruments promises to dramatically improve our ability to detect signs of life on other planets and moons.

Researchers have developed a challenging benchmark to evaluate whether AI-powered robotic systems can accurately predict the physical consequences of their actions.

Researchers are exploring ways to integrate large language models not as replacements for human coders, but as collaborators in the iterative refinement of framing codebooks.

Mathematical modeling is emerging as a powerful tool to refine our understanding of microbial systems and move beyond purely observational approaches.

New research details a vision-based system enabling autonomous mobile robots to assess whether nearby workers are aware of their presence, paving the way for more intuitive and efficient collaboration.

Researchers have developed a new virtual reality platform to study and refine how humans and robots interact, focusing on creating a truly fluid and intuitive experience.

New research explores how reliance on artificial intelligence tools impacts our critical thinking abilities and reasoning skills.