Abstract: In this paper, an adaptive fixed-time control approach is designed for a robot with dynamic uncertainty in the presence of input quantization by using the Broad learning system (BLS). The ...
From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
MemoryVLA is a Cognition-Memory-Action framework for robotic manipulation inspired by human memory systems. It builds a hippocampal-like perceptual-cognitive memory to capture the temporal ...
Abstract: This article introduces a novel taxonomic identification system and highlights key innovations in robotic and autonomous system classification. Robotic products have grown increasingly ...
Robot Safety Monitoring AI Market is projected to grow from USD 2.7 billion in 2025 to approximately USD 15.3 billion by ...
Robotic systems depend on advanced machine vision to perceive, navigate, and interact with their environment. As both the number and resolution of cameras grow, the demand for high-speed, low-latency ...
Embodied artificial intelligence (AI) systems are robotic agents that rely on machine learning algorithms to sense their surroundings, plan their actions and execute them. A key aspect of these ...
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