Mantas Naris
Mantas is a PhD student at the University of Colorado, where he works in the Bio-inspired Perception and Robotics Lab. Mantas is interested in automated design, sensorimotor neurophysiology, and the hardware, dynamics, and controls of soft robots.
Session
07-27
12:00
30min
PRONTO.jl: Trajectory Optimization in Function Space
Mantas Naris, Jieqiu Shao
PRONTO.jl is a Julia implementation of the Projection-Operator-Based Newton’s Method for Trajectory Optimization (PRONTO). PRONTO is a direct method for trajectory optimization which solves the optimal control problem directly in infinite-dimensional function space. It is capable of achieving quadratic convergence and has potential applications ranging from aerospace to quantum sensing.
JuliaCon
32-124