Autonomous robots must operate in real-time within dynamic environments, requiring robust performance across diverse scales. To achieve this, roboticists are increasingly leveraging heterogeneous deployments across edge and cloud infrastructures, while integrating and co-designing robotics algorithms for various computing hardware, including CPUs, GPUs, FPGAs, MCUs, and even custom accelerator ASICs (e.g., Neuromorphic processors).
A key challenge for the future of robotics will be determining the optimal allocation of algorithms to computer hardware and choosing the right combination of heterogeneous hardware onboard robotic systems to balance performance with power. Additionally, identifying the right software engineering practices and paradigms to broaden access to these advanced approaches across the robotics community will be critical.
This workshop is designed to build a welcoming community and ignite innovation and collaboration at the exciting intersection of robotics, computer software, systems, and architecture. It will focus on the development and enablement of advanced robotic systems through cutting-edge computational solutions for the benefit of all.
Featuring talks and panels from distinguished speakers in both academia and industry, the workshop will explore the challenges and opportunities presented by emerging computing technologies in high-performance robotics. The event will also showcase posters and lightning talks from students and professionals, providing a platform for sharing ideas, receiving feedback, and networking.
To ensure a lasting impact, a comprehensive white paper summarizing key findings, discussions, and collaborative ideas generated during the workshop will be published, serving as a valuable resource to propel this exciting research direction forward.
