3 citations · 3 across the 5 of their papers we have counts for
5 papers
SuperNeuroMAT: An Efficient Matrix-based Simulator for Spiking Neural Networks
Prasanna Date, Kevin Zhu, Shruti Kulkarni +12
Spiking neural networks (SNNs) offer a promising pathway to energy-efficient AI and brain-inspired computing. However, their widespread adoption is hindered by a lack of fast, acce…
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…
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…
Lighter-Than-Air Autonomous Ball Capture and Scoring Robot -- Design, Development, and Deployment
Joseph Prince Mathew, Dinesh Karri, James Yang +6
This paper describes the full end-to-end design of our primary scoring agent in an aerial autonomous robotics competition from April 2023. As open-ended robotics competitions becom…