Xiaomi unveils a robot hand with full-palm sensing and artificial sweat, bringing human-like touch, precision, and cooling to ...

For years, facility digitisation has relied on a single, expensive robot slowly traversing every corridor of a warehouse, laboratory ...

A new AI system called LATENT helps a humanoid robot react faster on the tennis court by learning from imperfect human motion data.

Researchers in China have developed a new system that significantly improves how humanoid robots learn to play tennis, marking a step forward in robotic athletic performance. The project, created with ...

Tesla (TSLA) has halted Model S and X production to focus on Optimus, its humanoid robot now in third generation with expanded training at its Texas factory and potential consumer sales targeted for ...

Test automation has come a long way from static scripts and rigid frameworks. Today, the focus is shifting toward intelligent, adaptive systems that can recover from failures and optimize themselves.

China has released its first national-level standard framework for humanoid robots and embodied artificial intelligence, according to state broadcaster CCTV. The document, titled the Humanoid Robot ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Humanoid, a developer of humanoid robots and mobile manipulators, this week introduced KinetIQ. This is the London-based company’s own AI framework for orchestration of robot fleets across industrial, ...

Abstract: This paper introduces a hybrid PO-ANFIS based Petri Net framework designed to help multiple robots navigate together through complex spaces filled with obstacles. The Parrot Optimization (PO ...

This paper explores the integration of Physics-Informed Neural Networks (PINNs) and Robot Process Automation (RPA) tools in modeling and controlling rigid robotic joint motion. PINNs, which integrate ...

Abstract: Typical robot controllers assume firm ground, limiting their effectiveness in controlling robots on dynamic platforms such as trucks or ships. To address this limitation, we propose a ...