5 years ago, automotive manufacturers did not want AI on their production lines - now they are looking for it and asking today's guest for help.
Our guest on the ReAutomated podcast is Albane Dersy, co-founder and COO of InBolt.
She highlights how AI boosts flexibility and efficiency through technologies like vision and sensors, enabling robots to thrive in dynamic environments.
Albane also discusses the challenges of automating moving assembly lines and the critical role of collaborative robots. The conversation touches on AI's reliability, the future of robotics, and Albane's journey as a woman in tech, advocating for diversity and STEM education.
HIGHLIGHTS:
The role of AI in modern manufacturing (00:00:57)
Albane discusses the evolving role of AI in modern manufacturing, particularly in the automotive industry.
Improvements and efficiency through AI technologies (00:01:44)
Albane explains how flexibility and efficiency are achieved through AI technologies in manufacturing, specifically using computer vision and AI-based algorithms.
Structured vs. unstructured environments (00:03:31)
Albane details the differences between structured and unstructured environments in manufacturing and why it's important for automotive companies.
Successful application of AI in automotive environment (00:05:54)
Albane shares an example of how their product, Guide Now, with AI-powered technology, has been successful in automating moving assembly lines in the automotive industry.
Collaborative robots and AI-powered solutions (00:06:51)
Albane discusses the use of collaborative robots together with AI-powered solutions for automating moving operations in automotive assembly lines.
Reliability of AI in solutions (00:08:11)
Albane explains the reliability of their AI-powered solution, emphasizing the hybrid approach of programming and deterministic approach during runtime.
Reliability heatmap and its significance (00:09:34)
Albane elaborates on the reliability heatmap and how it ensures the reliability of their AI-powered solution during runtime.
Breakthrough in AI for robotics (00:12:35)
Albane discusses the emergence of datasets in robotics and the potential impact of technologies like Nvidia's foundation models on autonomous robots.
Future trends and preparation for rapid AI and robotics advancement (00:18:43)
Albane emphasizes the importance of leveraging existing data in the manufacturing industry to prepare for rapid advancements in AI and robotics.
Increasing representation of women in the field (00:20:29)
Albane shares personal experiences and insights as a woman navigating the field of robotics and artificial intelligence and discusses key factors to increase the representation of women in the industry.
Advice for Women in Robotics and AI (00:24:02)
Albane shares advice for young women interested in pursuing a career in robotics and AI, stressing the importance of understanding customer needs and asking questions.
26 июн 2024
