Develop a deep multimodal AI system for indoor navigation in Webots.

Відкрито Опубліковано %project.relative_time Оплачується при отриманні Закінчується за 6 дні(-в)
Відкрито Оплачується при отриманні Закінчується за 6 дні(-в)

I'm seeking an expert in robot navigation and Deep multimodal AI using the Webots simulator (Pioneer 3 DX Robot) for the following:

Key Requirements:

- Integration of multiple sensors.

- Implementation of Deep Reinforcement Learning (e.g., Deep Q-Networks).

- Attention mechanisms are used to filter sensor data.

- Robust navigation in a dynamic indoor environment.

Expected Deliverables:

- A complete Webots project file.

- Documented source code with explanations.

- Performance analysis and validation.

- A report or paper explaining the methodology.

Testing and Simulation:

- The robot should navigate using a combination of cameras, LIDAR, and ultrasonic sensors.

- The simulation should emulate the complexities of an actual office space.

Ideal Skills:

- Proficiency in Webots simulation

- Strong background in robot indoor navigation and multimodal systems

- Experience with LIDAR, Ultrasonic sensors, and camera integration.

Please include examples of similar projects you've worked on in your bid.

Deep Learning Reinforcement Learning Python Architecture Робототехніка

ID Проекту: #38970635

Про проект

54 заявок(-ки) Відкритий для заявок Дистанційний проект Остання активність 3 хвилин(и) тому

54 фрілансерів(-и) готові виконати цю роботу у середньому за $489

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mannanmaan1425

Dear Hiring Manager, I am excited to submit my proposal for the development of a deep multimodal AI system for indoor navigation in Webots. With 4 years of experience in Python, Robotics, Deep Learning, and Reinforcem Більше

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Hi There, I’m excited to offer my expertise in developing a deep multimodal AI system for indoor navigation in Webots. With over 7 years of experience in AI development and robotics, I specialize in creating intelligen Більше

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Feriver

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arzoof1

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