UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments
Author:
Affiliation:
1. Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA
2. Field AI,Mission Viejo,CA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610724.pdf?arnumber=10610724
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4. Nebula: Quest for robotic autonomy in challenging environments; team costar at the darpa subterranean challenge;Agha,2021
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