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Professional Certificate in Robotics Decision Making for Electric Vehicles
-- ViewingNowThis ten-unit Professional Certificate in Robotics Decision Making for Electric Vehicles addresses the critical industry demand for autonomous driving expertise. As the automotive sector rapidly shifts toward electrification and automation, skilled professionals are urgently needed to design intelligent systems.
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๊ณผ์ ์ธ๋ถ์ฌํญ
- Introduction to Robotics and Electric Vehicles
- Sensor Fusion and Perception for Autonomous Driving
- Path Planning and Motion Control Algorithms
- Robotics Decision Making for Electric Vehicles: State Estimation and Control
- Machine Learning for Robotics in EVs
- Simulation and Testing of Autonomous Driving Systems
- Ethical and Safety Considerations in Autonomous Driving
- Electric Vehicle Battery Management Systems and Robotics Interaction
๊ฒฝ๋ ฅ ๊ฒฝ๋ก
Career Role Description Robotics Engineer (EV) Develops and implements robotic systems for electric vehicle manufacturing and autonomous driving.
High demand for expertise in AI and machine learning.
AI/ML Specialist (EV Robotics) Specializes in artificial intelligence and machine learning algorithms for robotic decision-making in autonomous electric vehicles.
Crucial for path planning and obstacle avoidance.
Autonomous Vehicle Software Engineer Focuses on software development for self-driving electric vehicles, integrating robotic control systems and sensor data.
Requires strong programming skills and a deep understanding of robotics.
Robotics Control Systems Engineer (EV) Designs and implements control systems for robots used in electric vehicle manufacturing and testing.
Experience with real-time systems and embedded programming is vital.
Data Scientist (EV Robotics) Analyzes large datasets generated by robotic systems in electric vehicles to improve performance and identify areas for optimization.
Strong statistical modeling skills are essential.
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