-
Notifications
You must be signed in to change notification settings - Fork 0
Home
rvega10 edited this page Oct 13, 2025
·
15 revisions
Welcome to the @GMU-ASRC wiki!
This is the wiki for the Autonomous Swarm Robotics Club (ASRC), a research division under the CREATE Lab @ GMU.
PI: Cameron Nowzari.
If you're new to the lab, check out Onboarding.
- Ground Robot Swarms - TurboPi Emergent Behavior Discovery (ASRC - #turbopi):
- Team Lead: Ricky
- The TurboPis are a simple platform for discovering and implementing new behaviors. We have successfully produced a milling behavior, diffusion, and clustering on the TurboPis but need help finding what else they are capable of and how they can be upgraded to create even more interesting behaviors.
- Drone Control Without GPS - Simulations & programming (ASRC - #drone-and-orbs):
- Team Lead: TJ
- Similar to the ground robot project, we want to analyze what the drones are capable of so that we can then explore what behaviors we can get them to produce first in simulation, and later in the real-world
- Drone Control Using GPS - Drone Control for Emergent Behaviors (ASRC - #drone-and-orbs):
- Team Lead: Ricky
- This track serves as a transitional phase between ground-based swarm experiments and aerial deployments. We use GPS to simulate onboard sensing behaviors: by tracking drone positions in space, we can artificially determine when a drone would "see" another drone in front of it. This allows us to prototype sensor-driven rules before fully integrating physical sensors into the hardware.
- Spiking Neural Networks (SNNs) for Robot Swarms (ASRC - #neuromorphic):
- Team Lead: Kevin
- This project explores how SNNs, a biologically-inspired type of artificial neural network, can be used to generate novel behaviors in autonomous drone swarms by defining a target group behavior (e.g., milling, dispersal, diffusion), and tasking the SNN with learning rules that guide individual agents toward achieving that outcome.
- Pixis Drone Placement Robot (ASRC - #pixis-robot):
- Team Lead: Sammy
- Design and develop a ground robot that facilitates the placement of many drones in a grid formation in preparation for drone light shows.
- Chronic Pain Analysis (ASRC - #pain-analysis):
- Team Lead: Shan
- Develop a learning algorithm to uncover how we can determine levels of pain by considering considering all bio-social factors.
- Improving Emergent Swarm Video Game (ASRC - #simulation):
- Team Lead: Etsub
- We are aiming at improving the current version of our game simulator by play-testing it, documenting what changes should be made, and recoding the game on Unity.
- Raytheon Competition (RDC):
- Team Lead: Meah
- The Raytheon AVC challenges students with the design, implementation, integration, and test of complex system of systems. This year, the competition involves having a drone autonomously fly over an environment, detect a target, communicate its position to a ground vehicle, and landing on the ground vehicle as it moves to that location.
For information on a specific robot, click one of the links below.