AMD has partnered with Robotec.ai to create an open ecosystem for autonomous systems and robotics. This collaboration aims to enhance digital twin and scenario reconstruction capabilities for advanced automotive and robotics applications, leveraging AMD’s Instinct GPUs and the ROCm software stack.

Through this partnership, AMD Silo AI aligns with Robotec.ai’s mission to develop safe and user-friendly robotics solutions. The collaboration builds on Robotec.ai’s work with AMD’s Kria System on Module (SOM) and integrates its RoSi platform—an end-to-end tool designed for the development, training, and testing of robotics and autonomous systems.

One of the key features of the collaboration is the RoSi Sensors, which utilize the RGS ray-tracing library. This technology optimizes GPU performance for LiDAR and radar simulations, enabling swift testing of complex multi-sensor configurations. The collaboration is set to address the increasing demand for scalable robotic solutions in various sectors.

Michal Niezgoda, CEO and co-founder of Robotec.ai, emphasized the importance of open-source technology in empowering customers. “Open source empowers customers to evaluate technology on their own terms, inspect code for cybersecurity, and benefit from a community that validates and improves solutions,” he stated. He further explained that relying on proprietary solutions limits flexibility to a single vendor’s roadmap.

The partnership aims to accelerate development cycles while fostering opportunities for academic collaborations and contributions from third parties. Peter Sarlin, CEO and co-founder of AMD Silo AI, reiterated the collaborative spirit, stating, “The collaboration with Robotec.ai underscores a shared commitment to open-source innovation. This commitment empowers customers with digital sovereignty and seamless portability of GPU workloads.”

Building a Collaborative Robotics Ecosystem

Through this partnership and previous collaborations, such as with Parallel Domain, AMD Silo AI is working with leading companies in autonomous driving and robotics, as well as academic institutions. The goal is to create an open ecosystem that combines cutting-edge software with high-performance GPU infrastructure tailored for the autonomous and robotics industries.

AMD is also collaborating with Robotec.ai to evaluate the capabilities of a fully autonomous warehouse robot. This robot employs agentic AI to dynamically plan and execute tasks in real time, operating without hard-coded scripts. It utilizes AMD’s Ryzen AI processors for embedded systems, showcasing the potential for advanced robotic applications.

By integrating its extensive experience in providing end-to-end compute solutions, encompassing safety-critical edge devices, digital twin platforms, and AI cloud infrastructure, AMD Silo AI is committed to expanding access to high-performance robotics simulation on a global scale. Silo AI, a Finnish AI lab acquired by AMD last year, plays a crucial role in this initiative.

As the demand for effective and safe robotic solutions grows, this partnership between AMD and Robotec.ai stands as a significant step towards fostering innovation and collaboration in the robotics ecosystem.