Science

New research combines electroadhesive clutches with pneumatic actuators to enable precise, adaptable shape control in soft robotic systems.

New research demonstrates how automatically refining the instructions given to teams of AI agents can dramatically improve their ability to gather complex information and produce insightful reports.

New research demonstrates how robots can intelligently combine visual perception with force/torque sensing to perform more nuanced and reliable manipulation tasks.

New research shows middle school students can grasp core artificial intelligence concepts by learning a fundamental problem-solving technique within the context of science education.

As AI agents increasingly contribute to software development, a critical need arises for standardized and transparent evaluation methodologies.

As generative AI automates core data analysis tasks, the most valuable skills for future data scientists are shifting toward uniquely human capabilities.

New research demonstrates a shared autonomy framework that blends human guidance with AI-powered control, allowing robots to navigate complex urban environments more effectively.

A new platform harnesses the power of artificial intelligence to automate key stages of social science research, from experiment design to report generation.

A new approach to dynamically modeling collaborative robots is enabling more accurate and controllable 3D printing processes.

A new agentic system demonstrates AI’s potential to autonomously drive scientific discovery and refine its own capabilities.