Anoushka Alavilli
Papers
1
Total Citations
40
H-Index
1
About
Anoushka Alavilli is a robotics researcher whose work focuses on bridging the gap between advanced control theory and practical, resource-constrained hardware. Her primary research areas include model-predictive control (MPC), embedded systems, and real-time autonomy for small-scale robots. Her most notable contribution is TinyMPC, a high-speed MPC solver designed specifically for microcontrollers with limited computational power—a breakthrough that enables dynamic, constraint-aware control on platforms previously deemed too small for such algorithms. This work, published in 2024, has already garnered 40 citations, reflecting its immediate impact on the field of agile robotics. By making MPC accessible to tiny, low-cost robots, Alavilli’s research opens new possibilities for swarms, wearable devices, and autonomous drones. Her achievements highlight a talent for translating complex theoretical methods into deployable, efficient solutions, positioning her as a rising leader in democratizing advanced control for next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
- 1TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers40 citations · 2024