Real-world testing is expensive, slow, and difficult to reproduce. For a robot’s performance in the real world to be ...
New ME-SOFS sensor lets soft robots sense touch and respond instantly without electronics, computers or external power.
LOS ANGELES--(BUSINESS WIRE)--Faraday Future Intelligent Electric Inc. (NASDAQ: FFAI) (“Faraday Future”, “FF” or the “Company”), a California-based global Embodied AI (EAI) ecosystem company, today ...
Robust.AI this week said it has selected Aptiv PLC’s intelligent perception systems, including AI and machine learning-based sensor fusion powered by the Aptiv PULSE sensor, for its Gen 3 Carter ...
It’s great to have a robot vacuum that can help you sweep your floors. But as useful as they might be, they’re not designed to tackle wet messes like spills or your dog’s muddy paw prints. A robotic ...
A roundup of new products at Automate 2026, spanning integrated motion platforms, edge computing, adaptive robotics and precision actuation—all designed for system-level performance. As Thompson puts ...
Humanoid robots are rapidly transitioning from science fiction to practical applications, attracting significant investment from tech giants and startups. Their appeal lies in operating in human ...
description [CVPR 2026][Robotics][Long-horizon manipulation] AGiLe jointly trains a "backward planner + forward evaluator" to generate latent sub-goal sequences that are both goal-aligned and ...
Abstract: Adaptive control is essential for enabling mobile robots to operate autonomously in dynamic and unpredictable environments. Despite extensive research, existing approaches remain fragmented ...
Abstract: Safety is a critical issue for robotic manipulators under model uncertainties and external disturbances. To address this, we propose an adaptive robust control framework based on an echo ...
AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
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