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.

Talks:

16:00 UTC

PRONTO.jl: Trajectory Optimization in Function Space

07/27/2023, 4:00 PM4:30 PM UTC
32-124

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.

Platinum sponsors

JuliaHub

Gold sponsors

ASML

Silver sponsors

Pumas AIQuEra Computing Inc.Relational AIJeffrey Sarnoff

Bronze sponsors

Jolin.ioBeacon BiosignalsMIT CSAILBoeing

Academic partners

NAWA

Local partners

Postmates

Fiscal Sponsor

NumFOCUS