Welcome to the RAN Lab

We are the Robot Autonomy and Navigation Laboratory (RAN Lab), a dynamic robotics research group at the University of Hawaiʻi at Mānoa. Our goal is to advance the long-term autonomy of mobile robots under harsh conditions, including the lack of external positioning systems, presence of strong background dynamics, limited sensing, actuation, and communication capabilities, etc. Our objectives are to (1) enhance the situational awareness of the robots and their environments and (2) enable intelligent decision making that leads to long-term performance improvement.

To this end, we develop novel algorithms, design new mobile robot platforms, and promote open-access research and education on the following topics (see Research for more details):

  • Autonomous navigation in unstructure, uncertain, dynamic envornments;
  • Control, modeling, and state estimation of multi-robot systems;
  • Data-driven dynamics modeling using adaptive samping with mobile sensors;
  • Mobile robots (marine & aerial) prototyping and testing.

We are located at the Mānoa compus of the University of Hawaiʻi, 10-min drive from the Waikiki beach, 15-min drive from the UH Marine Center, 25-min drive from the Makai Research Pier, and 30-min drive from the Kaneʻohe Bay, home to the Hawaiʻi Institute of Marine Biology.

We welcome visitors and exchange students and scholars!

We are grateful for funding from the University of Hawaiʻi.


May 19, 2020

RAN website has moved here!

April 22, 2020

Product grant - We were selected for Teledyne Marine’s 2020 Academic Product Grant to use the Teledyne Hydrophones in our research. Congrats Jonathan!

April 18, 2020

New conference paper - Sachin's paper was accepted by ICUAS'2020. Congrats!

April 2, 2020

Go Team Halona - Congrats to Nic and Jonathan for leading the team in winning the Explorer Prize of the Ocean Observing DISCOVER Competition!

January 21, 2020

Welcome Maddyson - She will start her accelerated MS program focusing on underwater docking systems.

November 5, 2019

New conference paper - "Concurrent flow-based localization and mapping in time-invariant flow fields" at IROS'2019.

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