DEVELOP A DEEP MULTIMODAL AI SYSTEM FOR INDOOR NAVIGATION IN WEBOTS.
Descrição da oferta de emprego
Key Requirements.
- Integration of multiple sensors.
- Implementation of Deep Reinforcement Learning (e.
., 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 Robótica ID do Projeto.
# Sobre o projeto 70 propostas Aberto para ofertas Projeto remoto Ativo em 7 minutos atrás
Detalhes da oferta
- Indeterminado
- Em todo Portugal
- Indeterminado - Indeterminado
- 09/01/2025
- 09/04/2025
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