The study presents a novel approach to tackle the issues of stability and safety in robotic manipulators. The researchers propose an obstacle-free deep reinforcement learning (DRL) trajectory planner integrated with…
Continue readingThe article discusses the development of a control system for a differential drive-wheeled mobile robot that can autonomously control its position, heading, and speed. The intelligence of this system is…
Continue readingThe paper presents a two-step method for dynamic obstacle avoidance (DOA) in autonomous vehicles, crucial for any vehicle operating in sea, air, or land. The proposed architecture combines supervised and…
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