Collision Avoidance using Deep Reinforcement Learning for Multi-Robots in confined space

Закрыт Опубликован 4 мес. назад Оплачивается при доставке
Закрыт Оплачивается при доставке

Collision Avoidance for the multi-robot system in confined space using DDPG.

1) 3 mobile robots

2) Supplanting the general replay cradle with underscoring late insight (ERE).

3) Using Powerful Voronoi Cells to stay away from copy investigation.

The task should be finished utilizing Python and ROS melodic.

Python Machine Learning (ML) Архитектура ПО Математика Искусственный интеллект

ID проекта: #36647012

О проекте

4 заявок(-ки) Удаленный проект Последняя активность 2 мес. назад

4 фрилансеров(-а) готовы выполнить эту работу в среднем за $71

Noorulamin331

Hello, I understand your whole requirements and am able to do this. I am a software engineer and have great experience in the IT profession. I will meet all your requirements. Please come to the inbox So I can start wo Больше

$30 USD за 4 дней(-я)
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salmanmalik2015

Hey, I am Electronic Engineer and have Expertise in Machine Learning (ML), Mathematics, Artificial Intelligence, Software Architecture and Python. I'm Full Stack Designer in Electrical Circuit designing, PCB Prototypi Больше

$25 USD за 4 дней(-я)
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