ScalAR Lab · GRASP · Penn Engineering
Penn Engineering · GRASP Lab

Scalable Autonomous Robots Lab

We develop algorithms and systems for autonomous multi-robot teams — from learning complex dynamics and adaptive sensing to coordination and control in unstructured environments.

Our publications → Meet the team

Recent publications

All publications →
2026
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
V. Edwards, T. C. Silva, and M. A. Hsieh
Advanced Intelligent Systems, 2026
DOI arXiv
2025
Flow-Based Localization and Mapping for Multi-Robot Systems
A. Kumar, T. C. Silva, V. Edwards, and M. A. Hsieh
IEEE Robotics and Automation Letters, vol. 10, no. 4, 2025
DOI arXiv
2025
Spectrally Informed Learning of Fluid Flows
B. D. Shaffer, J. R. Vorenberg, and M. A. Hsieh
Chaos, 35(3), Mar 2025
DOI arXiv
2024
EnKode: Active Learning of Unknown Flows with Koopman Operators
A. K. Li, T. C. Silva, and M. A. Hsieh
IEEE Robotics and Automation Letters, vol. 9, no. 12, Dec 2024
DOI arXiv
2022
KNODE-MPC: A Knowledge-Based Data-Driven Predictive Control Framework for Aerial Robots
K. Y. Chee, T. Z. Jiahao and M. A. Hsieh
IEEE Robotics and Automation Letters, vol. 7, no. 2, Apr 2022
DOI arXiv Video Code

Gratefully supported by

Current support
NSF ONR ARL
Past support
NRL GoMRI