Stronger Together: Air-Ground Robotic Collaboration Using Semantics
June 28, 2022 Β· Declared Dead Β· π IEEE Robotics and Automation Letters
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Authors
Ian D. Miller, Fernando Cladera, Trey Smith, Camillo Jose Taylor, Vijay Kumar
arXiv ID
2206.14289
Category
cs.RO: Robotics
Citations
60
Venue
IEEE Robotics and Automation Letters
Last Checked
5 months ago
Abstract
In this work, we present an end-to-end heterogeneous multi-robot system framework where ground robots are able to localize, plan, and navigate in a semantic map created in real time by a high-altitude quadrotor. The ground robots choose and deconflict their targets independently, without any external intervention. Moreover, they perform cross-view localization by matching their local maps with the overhead map using semantics. The communication backbone is opportunistic and distributed, allowing the entire system to operate with no external infrastructure aside from GPS for the quadrotor. We extensively tested our system by performing different missions on top of our framework over multiple experiments in different environments. Our ground robots travelled over 6 km autonomously with minimal intervention in the real world and over 96 km in simulation without interventions.
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