no code implementations • 17 Nov 2023 • Nikhil Potu Surya Prakash, Joohwan Seo, Jongeun Choi, Roberto Horowitz
In Robust Control and Data Driven Robust Control design methodologies, multiple plant transfer functions or a family of transfer functions are considered and a common controller is designed such that all the plants that fall into this family are stabilized.
no code implementations • 19 Oct 2023 • Junwoo Chang, Hyunwoo Ryu, Jiwoo Kim, Soochul Yoo, Jongeun Choi, Joohwan Seo, Nikhil Prakash, Roberto Horowitz
Diffusion models have risen as a powerful tool in robotics due to their flexibility and multi-modality.
1 code implementation • 6 Sep 2023 • Hyunwoo Ryu, Jiwoo Kim, Hyunseok An, Junwoo Chang, Joohwan Seo, Taehan Kim, Yubin Kim, Chaewon Hwang, Jongeun Choi, Roberto Horowitz
Diffusion generative modeling has become a promising approach for learning robotic manipulation tasks from stochastic human demonstrations.
no code implementations • 3 Apr 2023 • Nikhil Potu Surya Prakash, Joohwan Seo, Alexander Rose, Roberto Horowitz
In this paper, we present a frequency domain data-driven feedback control design methodology for the design of tracking controllers for hard disk drives with two-stage actuator as a part of the open invited track 'Benchmark Problem on Control System Design of Hard Disk Drive with a Dual-Stage Actuator' in the IFAC World Congress 2023 (Yokohoma, Japan).