Enabling Embodied AI with Open-Source Solutions from AMD

Abstract:

AI-enabled robots are rapidly becoming a reality, propelled by advancements in Embodied AI, software, and semiconductor technologies.
 
The talk will explore how evolving Embodied AI models are improving robots’ ability to perceive, learn, and interact in human environments. It will also highlight AMD Research's role in supporting open-source projects with complete solutions, focusing on 2 examples: the LeRobot ecosystem and Unitree robots. For attendees interested in hardware, these solutions will highlight the combination of AI PCs with traditional FPGA SoCs to realize embodied AI requirements.  Finally, a preview of our ROSCon’25 workshop agenda, featuring cloud-hosted AI PCs, will be shown.
 
The primary aim of this talk is to broadly present AMD Research's robotics work to encourage collaboration with ETH Zürich.

Bio:

Holger is an Associate Professor (“Senior Lecturer” in old English terms) in the Large-Scale Data and Systems group at Imperial College London. He is interested in all things data: analytics, transactions, systems, algorithms, data structures, processing models and everything in between. While some of his work targets "traditional" relational databases, the objective is to broaden the applicability of data management techniques. To this end, Holger studies “Composable Database Systems”: systems that are extensible to heterogeneous workloads, data models and hardware. This naturally leads to research at the intersection of data management, compilers and computer architecture, targeting applications like Generative Modeling, Graph Processing as well as “classic” Data Analytics.  Before joining Imperial, he was a Postdoc in the Database group at MIT CSAIL, a PhD student in the Database Architectures group at CWI in Amsterdam and an Undergraduate Student in computer science at the Humboldt-Universität of Berlin. Holger knows how to speak and write, as evidenced, respectively, by a CIDR Gong Show Award and a VLDB Best Paper Award.