2 citations · 2 across the 3 of their papers we have counts for
4 papers
The Surprising Effectiveness of Linear Models for Whole-Body Model-Predictive Control
Arun L. Bishop, Juan Alvarez-Padilla, Sam Schoedel +8
When do locomotion controllers require reasoning about nonlinearities? In this work, we show that a whole-body model-predictive controller using a simple linear time-invariant appr…
From Pixels to Torques with Linear Feedback
Jeong Hun Lee, Sam Schoedel, Aditya Bhardwaj +1
We demonstrate the effectiveness of simple observer-based linear feedback policies for "pixels-to-torques" control of robotic systems using only a robot-facing camera. Specifically…
Code Generation and Conic Constraints for Model-Predictive Control on Microcontrollers with Conic-TinyMPC
Ishaan Mahajan, Khai Nguyen, Sam Schoedel +4
Model-predictive control (MPC) is a state-of-the-art control method for constrained robotic systems, yet deployment on resource-limited hardware remains difficult. This challenge i…
TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers
Anoushka Alavilli, Khai Nguyen, Sam Schoedel +2
Model-predictive control (MPC) is a powerful tool for controlling highly dynamic robotic systems subject to complex constraints. However, MPC is computationally demanding, and is o…