The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort during lower limb rehabilitation.
Abstract: Autonomous vehicles (AVs) offer a promising glimpse into a future where transportation is smarter, safer, and more streamlined. Nevertheless, as AVs continue to interact with conventional ...
Abstract: In this paper, we present an agent-based modeling framework for Unmanned Aerial Vehicle (UAV) operational risk assessment to support large-scale unmanned flights at low altitudes. The main ...
We are on the brink of an exciting top-to-bottom structural transformation of our industry, with agentic AI reshaping everything from how media is discovered to how it’s planned, bought and measured.
We have entered the era of agentic AI, and it is here to deliver on the promise of autonomous network operations. Infovista just dropped a new agentic AI framework that is designed to deliver ...
A powerful Go framework for building production-ready AI agents that seamlessly integrates memory management, tool execution, multi-LLM support, and enterprise features into a flexible, extensible ...
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