Double Critics and Double Actors Deep Deterministic Policy Gradient for Mobile Robot Navigation using Adaptive Parameter Space Noise and Parallel Experience …
In recent years, mobile robots have been increasingly used in a variety of industries, such as
manufacturing, logistics, health care, and security services. Effective autonomous navigation …
manufacturing, logistics, health care, and security services. Effective autonomous navigation …
Improving generalization in aerial and terrestrial mobile robots control through delayed policy learning
Deep Reinforcement Learning (DRL) has emerged as a promising approach to enhance
motion control and decision-making through a wide range of robotic applications. While prior …
motion control and decision-making through a wide range of robotic applications. While prior …
Real-time Robotics Situation Awareness for Accident Prevention in Industry
JM Deniz, AS Kelboucas… - 2024 Latin American …, 2024 - ieeexplore.ieee.org
This study explores human-robot interaction (HRI) based on a mobile robot and YOLO to
increase real-time situation awareness and prevent accidents in the workplace. Using object …
increase real-time situation awareness and prevent accidents in the workplace. Using object …
An ACO-Based Path Planning Algorithm for UAV in Urban Airspace
B Wang, Z Zhao, B Hu, Y Liu, X Ru, Z Tong, Q Jia - 2024 - sae.org
Abstract Navigating Unmanned Aerial Vehicles (UAVs) in urban airspace poses significant
challenges for fast and efficient path planning due to the environment's complexity and …
challenges for fast and efficient path planning due to the environment's complexity and …