Dynamic obstacle avoidance and path planning through reinforcement learning

K Almazrouei, I Kamel, T Rabie - Applied Sciences, 2023 - mdpi.com
The use of reinforcement learning (RL) for dynamic obstacle avoidance (DOA) algorithms
and path planning (PP) has become increasingly popular in recent years. Despite the …

[PDF][PDF] A Bio-inspired trajectory planning method for robotic manipulators based on improved bacteria foraging optimization algorithm and tau theory

Z Wang, J Peng, S Ding - Math. Biosci. Eng, 2022 - aimspress.com
In this paper, a novel bio-inspired trajectory planning method is proposed for robotic systems
based on an improved bacteria foraging optimization algorithm (IBFOA) and an improved …

Autonomous Surveillance Breakthrough by Implementing Facial Recognition in Dog Robots

A Hafezi, M Zibran, T Deemyad - … Engineering, Technology and …, 2024 - ieeexplore.ieee.org
As the importance of security in today's world continues to escalate, technology's role in its
enhancement has evolved significantly. From the inception of fixed security cameras …

Optical Flow-Hermite and Fuzzy Q-Learning Based Robotic Navigation Approach

E Moya-Albor, J Brieva, H Ponce… - 2021 International …, 2021 - ieeexplore.ieee.org
The present paper presents a bio-inspired optical flow approach to autonomous robotics
navigation. It uses a Fuzzy Q-Learning (FQL) method to take decisions in an unknown …