Presentation
Invited: The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems
DescriptionThe pursuit of fully autonomous robotics is hindered significantly by computational limitations. Achieving true autonomy in robotics requires a complex interplay of fast, accurate processing, sophisticated algorithms, system-wide energy efficiency, and robust performance under varying conditions. Traditional approaches to enhancing computational efficiency in robotics have often been fragmented and ad hoc, tackling each challenge in isolation without a unified strategy. This talk introduces the concept of robomorphic systems as a novel solution to these obstacles, whereby we enhance a robot's operation by aligning robots' physical forms with their computational architectures. This innovative approach involves designing robotic systems whose physical structures align with their computational needs, leading to optimized processing speeds and reduced energy consumption. We delve into various case studies and examples to demonstrate the groundbreaking impact of robomorphic system design in forging a new era of specialized and efficient computing systems in robotics. By seamlessly merging robot morphology with computational design, robomorphic systems promise to unlock unprecedented capabilities and efficiencies, setting the stage for the future of advanced robotics.
Event Type
Special Session (Research)
TimeTuesday, June 254:30pm - 5:00pm PDT
Location3006, 3rd Floor
Autonomous Systems