4 citations · 4 across the 8 of their papers we have counts for
8 papers
Analytical Swarm Chemistry: Characterization and Analysis of Emergent Swarm Behaviors
Ricardo Vega, Connor Mattson, Kevin Zhu +2
Swarm robotics has potential for a wide variety of applications, but real-world deployments remain rare due to the difficulty of predicting emergent behaviors arising from simple l…
Classifying Emergence in Robot Swarms: An Observer-Dependent Approach
Ricardo Vega, Cameron Nowzari
Emergence and swarms are widely discussed topics, yet no consensus exists on their formal definitions. This lack of agreement makes it difficult not only for new researchers to gra…
Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real Transfer
Connor Mattson, Varun Raveendra, Ricardo Vega +3
Given a swarm of limited-capability robots, we seek to automatically discover the set of possible emergent behaviors. Prior approaches to behavior discovery rely on human feedback…
Agent-Based Emulation for Deploying Robot Swarm Behaviors
Ricardo Vega, Kevin Zhu, Connor Mattson +2
Despite significant research, robotic swarms have yet to be useful in solving real-world problems, largely due to the difficulty of creating and controlling swarming behaviors in m…
Spiking Neural Networks as a Controller for Emergent Swarm Agents
Kevin Zhu, Connor Mattson, Shay Snyder +4
Drones which can swarm and loiter in a certain area cost hundreds of dollars, but mosquitos can do the same and are essentially worthless. To control swarms of low-cost robots, res…
Indirect Swarm Control: Characterization and Analysis of Emergent Swarm Behaviors
Ricardo Vega, Connor Mattson, Daniel S. Brown +1
Emergence and emergent behaviors are often defined as cases where changes in local interactions between agents at a lower level effectively changes what occurs in the higher level…
Zespol: A Lightweight Environment for Training Swarming Agents
Shay Snyder, Kevin Zhu, Ricardo Vega +2
Agent-based modeling (ABM) and simulation have emerged as important tools for studying emergent behaviors, especially in the context of swarming algorithms for robotic systems. Des…
Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations
Ricardo Vega, Kevin Zhu, Sean Luke +2
This paper proposes a novel methodology for addressing the simulation-reality gap for multi-robot swarm systems. Rather than immediately try to shrink or `bridge the gap' anytime a…