Eugene Demaitre

Across healthcare, logistics, manufacturing, and public spaces, robots are increasingly operating alongside people. This marks the era of Physical AI, where perception, autonomy, and software-defined intelligence intersect with the real world. When humans and robots share space, there are no second chances.

This session will explore the foundational software and critical building blocks that enable safe autonomy at scale. As robotics transitions from contained automation to open deployment, safety must move beyond being an afterthought or a compliance checkbox—it needs to be integrated into the heart of every system and continuously enforced as environments and software evolve.

Together with executives from QNX, Amazon Robotics, Locus Robotics, and Universal Robots, we’ll discuss how leading organizations are tackling autonomy at scale, balancing innovation with predictability, and weaving safety, security, and real-time performance into their solutions. Drawing from real-world deployments, the panel will examine what it takes to build robotics systems that people can confidently trust to operate around them every day, as intelligence takes its place in the physical world.

Presented By:

Even the most advanced robotics teams hit a wall—not because of design, but because the development system around it is fragmented. Disconnected workflows between industrial design, product development engineering, sourcing, prototyping to scale manufacturing lead to late-stage performance, cost overruns, DFM issues, and supply chain delays, forcing teams to miss goals in time to market, product cost instead of strategic, proactive planning.

This session explores a new model: full-lifecycle integration for robotics development that gives teams support across ideation, industrial design, mechanical engineering, systems integration and supply chain development,   Development of the entire ecosystem —incorporating DFM and cost considerations from day one to ensure decisions are grounded in production reality.

Attendees will leave with a blueprint for closing the gap between design and deployment, learning how AI and integrated workflows transform robotics development from reactive into a seamless, predictive engine for innovation.

Presented By: