๐ First demonstration of learning-accelerated trajectory optimization in space! Our team used a neural network to warm-start trajectory optimization for the @NASA's Astrobee free-flying robot on-board the @Space_Station, cutting solver iterations by up to 60% while maintaining safety constraints.
๐ฅ Video: https://t.co/t0OFR8fHBl
๐ Paper: https://t.co/ohBE1iowOB
๐ Submitted to iSpaRo 2025
With @SomritaBanerjee and @ACauligi
@drmapavone@b_stellato@masahiro_ono Finally, I'm recruiting students to join my lab in the Fall of 2025! If you're interested in building robots and systems for advancing space exploration, then please apply to @jhumeche and don't hesitate to reach out! You can check out my research at https://t.co/U2Uzhky6QO
Incredibly excited to announce that I will be joining @jhumeche as an assistant professor in summer 2025!
My lab will be focusing on safe and autonomous decision making for spacecraft robotic systems ๐๐ฐ๏ธ๐ค
As I start this next chapter of my career, very grateful for the guidance and support of my mentors (@drmapavone, Mark Cutkosky, @b_stellato, @masahiro_ono, and many others!) and my friends and family without whom this wouldn't be possible!
Congratulations to ASLer Abhishek Cauligi for successfully defending his PhD thesis today! @ACauligi's work demonstrates how data-driven approaches can accelerate Mixed Integer Convex Programming. This enables high-quality real-time control of space robots!
Friends in high places.
Stanford researchers sent a robotic gripper, which mimics Gecko feet and could be well-suited for cleaning up space junk, to the International @Space_Station for testing. On board to help: Stanford alumna and @NASA astronaut Kate Rubins, PhD โ06.
Excited to announce that our work on using learning to quickly solve mixed integer convex programs for robot control was accepted to #CDC2020! Work with @pdculbert, @b_stellato, @dbertsim, Mac Schwager, and @MarcoPavoneSU. Check it out here at: https://t.co/ETpANjPSOa
Wanna solve combinatorial optimization for robot control very fast? Check out our work with @ACauligi, @pdculbert, @dbertsim, MSchwager, @MarcoPavoneSU @StanfordAILab! https://t.co/1jmhoZfyWk We extended our work with @dbertsim (MLOPT) to learn fast optimizers for robotic tasks
A lot of us @StanfordEng spend a lot of time at Bytes and Coupa. The employees there are hourly, and with Stanfordโs effective shutdown, their hours are being cut or people are being let go.
This fundraiser is to help them with financial assistance:
https://t.co/fDtyvJBQFG