Anoushka Alavilli — accepted AI-conference papers

2025

Dynamics Modeling Using Visual Terrain Features for High-Speed Autonomous Off-Road Driving

Jason Gibson, Anoushka Alavilli, Erica Tevere, Evangelos A. Theodorou, Patrick Spieler

ICRA 2025

Rapid autonomous traversal of unstructured terrain is essential for scenarios such as disaster response, search and rescue, and planetary exploration. As a vehicle navigates at the limit of its capabilities over extreme terrain, its dynamics can change suddenly and dramatically. For example, varying

Cited by 5 Source ↗Scholar ↗

2024

TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers

Khai Nguyen, Sam Schoedel, Anoushka Alavilli, Brian Plancher, Zachary Manchester

ICRA 2024poster

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 often impractical to implement on small, resource-constrained robotic platforms. We present TinyMPC, a high-speed MPC sol…

Cited by 39 Source ↗code ↗Scholar ↗