4 citations · 4 across the 8 of their papers we have counts for
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cs.RO2023
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…
cs.RO2023
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…
cs.RO2023★ 4 cited
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…