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DAVE Aquatic Virtual Environment: Toward a General Underwater Robotics Simulator

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arxiv 2209.02862 v1 pith:NRU5BZTN submitted 2022-09-06 cs.RO

classification cs.RO
keywords environmentdatadaveaquaticbuildingdevelopmentframeworkrobotics
verification ladder T0 review T1 audit T2 compute T3 formal
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We present DAVE Aquatic Virtual Environment (DAVE), an open source simulation stack for underwater robots, sensors, and environments. Conventional robotics simulators are not designed to address unique challenges that come with the marine environment, including but not limited to environment conditions that vary spatially and temporally, impaired or challenging perception, and the unavailability of data in a generally unexplored environment. Given the variety of sensors and platforms, wheels are often reinvented for specific use cases that inevitably resist wider adoption. Building on existing simulators, we provide a framework to help speed up the development and evaluation of algorithms that would otherwise require expensive and time-consuming operations at sea. The framework includes basic building blocks (e.g., new vehicles, water-tracking Doppler Velocity Logger, physics-based multibeam sonar) as well as development tools (e.g., dynamic bathymetry spawning, ocean currents), which allows the user to focus on methodology rather than software infrastructure. We demonstrate usage through example scenarios, bathymetric data import, user interfaces for data inspection and motion planning for manipulation, and visualizations.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. LOTUSim: Multi-Domain Simulator for Marine Robotics

    cs.MA 2026-07 conditional novelty 5.5 of 10

    LOTUSim delivers real-time multi-user HITL simulation of heterogeneous maritime fleets plus an Ekman-layered current model that substantially reduces error versus Gauss–Markov baselines.

  2. Multi-agent Reinforcement Learning for Robotized Coral Reef Sample Collection

    cs.RO 2025-07 conditional novelty 4.0 of 10

    An RL controller for coral sample collection, trained in Unity, is transferred zero-shot to a physical BlueROV2 using real-time underwater motion capture to drive the digital twin.

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