Global Certificate in Automotive Robotics Optimization: High-Performance
-- ViewingNowThe Global Certificate in Automotive Robotics Optimization: High-Performance is a comprehensive course that empowers learners with essential skills for optimizing automotive robotics systems. This course is critical for professionals seeking to advance their careers in the rapidly evolving field of automotive robotics.
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โข Automotive Robotics Optimization Foundations: Overview of automotive robotics and optimization principles, including robotics hardware, software, and control systems.
โข Robotics Kinematics and Dynamics: Study of motion, force, and torque in robotic systems, including forward and inverse kinematics and dynamics.
โข Machine Learning for Autonomous Robots: Introduction to machine learning algorithms and techniques for autonomous robotic systems, such as supervised, unsupervised, and reinforcement learning.
โข Perception and Sensing in Automotive Robotics: Examination of sensor technologies and perception algorithms for autonomous vehicles, including cameras, lidars, radars, and ultrasonic sensors.
โข Automotive Robotics Motion Planning and Control: Analysis of motion planning and control algorithms for autonomous vehicles, such as trajectory planning, obstacle detection, and path following.
โข Simulation and Testing for Autonomous Robotics: Overview of simulation and testing techniques for autonomous vehicles, including virtual and physical testing, and model validation.
โข Automotive Robotics Safety and Security: Discussion of safety and security challenges and solutions in autonomous vehicles, including functional safety, cybersecurity, and ethical considerations.
โข Automotive Robotics Standards and Regulations: Examination of international standards and regulations for autonomous vehicles, including ISO, SAE, and UL.
โข Automotive Robotics Applications and Case Studies: Analysis of real-world applications and case studies of autonomous vehicles, including electric vehicles, connected cars, and shared mobility.
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