I am a Master Student as part of the Intelligent Control Systems group, supervised by Dominik Baumann and Dr. Sebastian Trimpe. My research focuses on intelligent resource allocation in distributed control of multi-agent systems. Before joining the Intelligent Control Systems group for my master thesis in 2018, I studied Robotics, Systems & Control at ETH Zurich and obtained my Bachelor's degree in Electrical Engineering at McGill University in 2016.
Matlab code for the resource constrained predictive triggering framework available in the following GitHub repository
Videos of the stabilization experiments are available for viewing in the Videos tab.
Multi-agent Cart-pole System with ET1 design
Stabilization task with disturbance at 20s using the ET1 design (N = 10 agents, K = 2 communication slots)
Multi-agent Cart-pole System with PT framework
Stabilization task with disturbance at 20s using the developed PT framework (N = 10 agents, K = 2 communication slots).
Side-by-side Comparison of Multi-agent Cart-pole System
Stabilization task with (Left) PT framework, (Right) ET1 design (N = 10 agents and K = 2 communication slots)
In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, pages: 79-84, 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), September 2019 (inproceedings)
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems