6 papers · 1 filter
SyncSBC: Decentralized Swarm Behavior Prediction for Synchronized Autonomous Control
Varun Raveendra, Connor Mattson, Daniel S. Brown
Robot swarms utilize many independent limited-sensing agents to produce complex emergent behaviors without requiring centralized control. However, little research explores how agen…
What Is My Robot Thinking? Design Considerations for Transparent and Trustworthy Shared Autonomy
Atharv Belsare, Zohre Karimi, Connor Mattson +2
Assistive robots operating under shared autonomy must balance user control with autonomous assistance. Because robot actions depend on internal intent inference that is not directl…
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…
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…
Toward Zero-Shot User Intent Recognition in Shared Autonomy
Atharv Belsare, Zohre Karimi, Connor Mattson +1
A fundamental challenge of shared autonomy is to use high-DoF robots to assist, rather than hinder, humans by first inferring user intent and then empowering the user to achieve th…
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…