Keynote: 2035: Human-Robot Coexistence in the Workplace

下午 1:35 - 下午 2:15

In just under a decade, we will likely be working side by side with humanoids, cobots, autonomous mobile robots and AI-enhanced machinery in our industrial workplaces. From the factory floor to the smart nursing facility, advancements in robotic intelligence supported by realtime sensors can help augment human staff and extend quality of service to areas difficult to manage for humans alone. This presentation will look at how AI software driving sensor hardware systems can help orchestrate robot fleets safely and reliably. Key concepts from state-of-the-art research will be shared from 4 converging areas of quantum computing, visual and non-visual multi-robotics, data governance and cyberphysical systems. We will also share how software-hardware virtualization platforms such as Renesas 365 can support end to end robotic system co-design and lifecycle management, both in the cloud and air-gapped on-premise.

 

Key Technologies Covered 

  • Agentic software development for robotics systems
  • AI model optimization
  • Air-gapped software system development
  • Software-hardware robotic system co-design using virtualization

Featured Speakers

Mr. Mandali Khalesi

Mr. Mandali Khalesi

Vice President, AI Platform & Technology, Renesas Electronics Corporation

Mandali Khalesi is Vice President for AI Platform & Technology at Renesas Electronics. He is focused on developing AI services to accelerate the user in their development journey through our Renesas 365 platform. The goal is to help build AI solutions in automotive, robotics and humanoid by integrating both Renesas and non-Renesas hardware. Prior to Renesas he was the General Manager and Head of Automated Driving Mobility at Toyota Motor Corporation HQ, helping ship their first self-driving Lexus LS flagship in 2021. He was also Vice President of Automated Driving at Woven by Toyota, Toyota's self-driving software subsidiary, managing engineering organization growth to 1,700 software and AI engineers. He is a software executive with over 20 years of experience in the automotive, consumer electronics and semiconductor industries. Mandali has a Masters degree in Astrophysics from University College London.