3 accepted papers
Mobile robots demand power efficiency as well as accuracy and high performance in their computations. Embedded microcontrollers and FPGAs can consume as much as <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$1000\
Mobile robots demand power efficiency as well as accuracy and high performance in their computations. Embedded microcontrollers and FPGAs, which can consume as much as 1000x less power than large CPUs and GPUs, offer a promising solution to these power needs. However, these power-efficient platforms…
Computing the gradient of rigid body dynamics is a central operation in many state-of-the-art planning and control algorithms in robotics. Parallel computing platforms such as GPUs and FPGAs can offer performance gains for algorithms with hardware-compatible computational structures. In this letter,