Program

Logistics

  • The workshop will be conducted over Zoom. Register here for free to receive an invitation to the Zoom meeting.
  • We will also stream the workshop over YouTube (no registration required). LIVE YouTube Streaming Here

Schedule

The times are in Eastern Daylight Time zone (UTC -4). The workshop is on Thursday, June 4.

  • 10:30AM - 10:40AM: Opening remarks
  • 10:40AM - 11:05AM: Vijay Kumar, University of Pennsylvania
  • 11:05AM - 11:30AM: Joe Mitchell, SUNY Stony Brook
  • 11:30AM - 11:55AM: Gaurav Sukhatme, University of Southern California
  • 11:55AM - 12:20PM: Amanda Prorok, Cambridge University
  • 12:20PM - 12:35PM: Panel Discussion
  • 12:35PM - 13:15PM: Contributed papers (listed below). 5 minutes each.
  • 13:15PM - 13:40PM: Dylan Shell, Texas A&M University
  • 13:40PM - 14:05PM: Volkan Isler, University of Minnesota
  • 14:05PM - 14:30PM: Robin Murphy, Texas A&M University
  • 14:30PM - 14:55PM: Timothy Chung, DARPA
  • 14:55PM - 15:10PM: Panel Discussion
  • 15:10PM - 15:25PM: Concluding remarks

Contributed Papers

(In the presentation order)

  1. Multi-agent Pursuit Evasion Under Uncertainty Using Generalized Voronoi Partition. Kunal Shah, Guillermo Angeris, and Mac Schwager.
  2. Robust Multiple-Path Orienteering Problem: Securing Against Adversarial Attacks. Guangyao Shi, Lifeng Zhou, and Pratap Tokekar.
  3. Maintaining the Level of a Payload carried by Multi-Robot System on Irregular Surface. Rishabh Dev Yadav, Shrey Agrawal, Kamalakar Karlapalem.
  4. Multi-Humanoid-Robot System: Balancing and Effort Distribution during Collaboration. Lorenzo Rapetti, Yeshasvi Tirupachuri, Alberto Ranavolo, Claudia Latella, Daniele Pucci.
  5. Probabilistically Secure and Resilient Multi-Robot Coordination in the Face of Unreliable Interactions. Remy Wehbe, Ryan K. Williams.
  6. Minimally Disruptive Connectivity Enhancement for Resilient Multi-Robot Teams. Wenhao Luo, Nilanjan Chakraborty, and Katia Sycara.
  7. Byzantine Fault Tolerant Multi-Robot Planning for Online Pickup and Delivery. Kegan Strawn and Nora Ayanian.