A new steering-based control method enhances autonomous robot tracking accuracy in open environments, crucial for safety in chemical processing facilities.

The capital city of Chisinau recently transformed into a national hub for engineering and innovation, proudly hosting ...

Advancements in soft robotics highlight dielectric elastomer and fluid actuators, yet lowering operating voltage remains a ...

Industrial arms and cobots may look similar, but their control systems aren’t. Here’s how motion control, kinematics, and ...

This study demonstrates that Type I receptor-like sensors in a robotic joint achieve sub-2° positional accuracy, redefining ...

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.

Mens, Manus & Machina (M3S) interdisciplinary research group, and National University of Singapore (NUS), alongside ...

As AI-generated deepfakes grow more realistic, they pose new threats to scientific integrity. This article unpacks how ...

This AI system identifies clinically significant valvular heart disease from stethoscope recordings, achieving near-clinical precision and high sensitivity.

Findings indicate that robot competence judgments vary with diagnosticity, affecting how explicit and implicit evaluations respond to inconsistencies.

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.

An in-depth interview on the Bumblebee X, reveals how durable, high-resolution depth sensing is transforming outdoor robotics.