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Levi Cai

4 accepted papers

2025

Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-Driven Autonomous Underwater Vehicles

ICRA 2025

Controlling AUVs can be challenging because of the effect of complex non-linear hydrodynamic forces acting on the robot, which are significant in water and cannot be ignored. The problem is exacerbated for small AUVs for which the dynamics can change significantly with payload changes and deployment

Cited by 14SourceScholar
2024

ReefGlider: A Highly Maneuverable Vectored Buoyancy Engine Based Underwater Robot

ICRA 2024poster

There exists a capability gap in the design of currently available autonomous underwater vehicles (AUV). Most AUVs use a set of thrusters, and optionally control surfaces, to control their depth and pose. AUVs utilizing thrusters can be highly maneuverable, making them well-suited to operate in comp…

Cited by 1SourceScholar
2023

CUREE: A Curious Underwater Robot for Ecosystem Exploration

ICRA 2023poster

The current approach to exploring and monitoring complex underwater ecosystems, such as coral reefs, is to conduct surveys using diver-held or static cameras, or deploying sensor buoys. These approaches often fail to capture the full variation and complexity of interactions between different reef or…

Cited by 28SourceScholar
2019

Streaming Scene Maps for Co-Robotic Exploration in Bandwidth Limited Environments

ICRA 2019poster

This paper proposes a bandwidth tunable technique for real-time probabilistic scene modeling and mapping to enable co-robotic exploration in communication constrained environments such as the deep sea. The parameters of the system enable the user to characterize the scene complexity represented by t…

Cited by 17SourceScholar