George Pappas
Joseph Moore Professor & Department Chair, ESE
George’s research focuses on developing methods for the control of next-generation hierarchical and distributed systems. His research group focuses on developing analysis and design algorithms and tools for hybrid systems, which merge control systems with computing systems. Their methods have been used in developing algorithms for coordinated motion of fleets of unmanned aerial vehicles and multi-robot systems, analyzing the safety of next generation medical devices, and understanding the macroscopic behavior of biological networks.
Research Areas
- Distributed and Decentralized Control
- Hybrid Control Systems
- Learning for Control Systems
- Nonlinear Control Systems
- Autonomy
- Machine Learning
- Multi-robot Systems
- Semantic SLAM
Publications
A Control-Theoretic Approach to Analysis and Parameter Selection of Douglas-Rachford Splitting
Publisher IEEE Control Systems
Case study: Verifying the safety of an autonomous racing car with a neural network controller
Publisher ACM International Conference on Hybrid Systems: Computation and Control (HSCC)
Reactive Planning for Mobile Manipulation Tasks in Unexplored Semantic Environments
Publisher IEEE International Conference on Robotics and Automation (ICRA)
Reactive Temporal Logic Planning for Multiple Robots in Unknown Environments
Publisher IEEE International Conference on Robotics and Automation (ICRA)
News
Faculty News
Congratulations to Dr. George Pappas – Electrical Engineering Distinguished Alumnus Academia
February 19, 2021
GRASP News
October 10, 2017
GRASP News
“Penn Research Team Awarded $2.75 Million as Part of New ‘Swarm’ Computing Center”…Penn News
January 23, 2013
Faculty News
August 10, 2009
Students
Research Staff
Alumni
Research Areas
- Distributed and Decentralized Control
- Hybrid Control Systems
- Learning for Control Systems
- Nonlinear Control Systems
- Autonomy
- Machine Learning
- Multi-robot Systems
- Semantic SLAM