Stage Innovation : Ingénieur Jumeau numérique / Validation
Core
Develop a digital twin verification strategy to validate natural language-based robotic programs for performance and safety compliance.
Role type
Final-year engineering student intern (Digital Twin & NLP)
Builds
Verified robotic programs and digital twin simulations
Domain
Robotics, Natural Language Processing, Digital Twin
Deliverable
production ML models | dashboards & analysis
Required skills
Natural Language Processing (NLP), Machine Learning, Digital Twin concepts, Requirement verification, Literature review
Preferred skills
IsaacSim, Process Simulate, Delmia, Gazebo, Project management
Technologies
IsaacSim, NLP frameworks
Responsibilities
Conduct literature review on digital twin concepts, Implement NLP models for user intent identification, Define requirement verification strategy, Implement verification on IsaacSim and existing robot mockup
Seniority
Intern (Final-year engineering student)
