How to Break Into Robotics Engineering (AI, C++, Linear Algebra Explained) скачать в хорошем качестве

How to Break Into Robotics Engineering (AI, C++, Linear Algebra Explained)

The robotics industry is about to change everything. In this episode of the Tech Jobber Podcast, I sit down with robotics founder Yanzhi Zhao, who is building AI-powered pick-and-place robots for factories and warehouses. We break down: • Why AI is the missing piece in robotics • How “Physical AI” actually works • Vision-Language-Action (VLA) models explained • Edge computing vs cloud robotics • Why linear algebra matters for robotics engineers • C++ vs Python in robotics development • How robots calculate pressure and grip objects • The future of humanoid robots • Robotics startup opportunities in 2026 • How to break into robotics engineering If you're interested in AI careers, robotics jobs, embedded systems, machine learning engineering, or startup opportunities in emerging tech — this episode is for you. Robotics is no longer just hardware. The future is software-defined robots powered by neural networks, computer vision, and edge AI systems. According to industry insiders, robotics and physical AI could be one of the fastest-growing tech sectors over the next 5–10 years — especially in logistics, manufacturing, and hazardous environments. If you're good at math, programming, or problem-solving… this may be the industry to watch. Topics covered: Robotics engineering careers AI robotics startups Linear algebra in robotics Embedded systems engineering Machine learning for robotics Edge computing Vision-based object detection Factory automation Humanoid robots Pick and place automation Subscribe for more high-paying tech career breakdowns every week. #Robotics #AI #TechCareers #MachineLearning #Engineering #PhysicalAI #EdgeComputing #StartupCareers