John Irvin Alora - Google Scholar
Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions.
John Irvin Alora - Graduate Research Assistant - LinkedIn
2016年12月12日 · View John Irvin Alora’s profile on LinkedIn, a professional community of 1 billion members.
- 职位: Robotics @ Stanford | Pilot
- 位置: Stanford University
- 500+ 连接数
John Alora - Stanford University
John’s research interests lie at the intersection of robotics, control theory, and optimization. His current work involves development of novel physics-based machine learning techniques for …
John Alora's Profile - Stanford Profiles
John Alora is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). The site facilitates research …
Learning Dominant Dynamics for Continuum Robot Control (John Alora…
2024年12月17日 · John Alora PhD Defense (12/17/2024)Continuum robotics, inspired by the fluidity of living systems, offers transformative potential across applications from o...
Data-Driven Spectral Submanifold Reduction for Nonlinear …
2022年9月13日 · View a PDF of the paper titled Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots, by John Irvin Alora and 4 other authors
jjalora (John Alora) - GitHub
Stanford Aero/Astro PhD student developing learning-based control systems grounded in physics. Air Force bomber pilot. - jjalora.
John Irvin Alora | IEEE Xplore Author Details
Affiliations: [Department of Aeronautics and Astronautics, Stanford University, Stanford, CA].
John Irvin Alora - DeepAI
Read John Irvin Alora's latest research, browse their coauthor's research, and play around with their algorithms
Learning Dominant Dynamics for Continuum Robot Control
To achieve this, we develop a data-driven, model-based approach grounded in Spectral Submanifold Reduction (SSMR), a principled framework that extracts the dominant dynamics …