Overview

Underwater robotics studies how vehicles and soft or bio-inspired machines move, sense, and perform tasks in environments where visibility, communication, and dynamics are challenging. Work combines cameras, sonar, Doppler velocity logs, and inertial sensors for localization and mapping, with methods such as sensor-fusion SLAM, model-predictive control, reinforcement learning, and multi-robot coordination. Researchers test these approaches in simulators, pools, and field deployments for tasks including seabed inspection, docking, tracking, and manipulation. A central challenge is making systems reliable across changing currents and degraded sensors while transferring models and policies from simulation to real water with limited energy and communication.

Latest papers

CardsList

149 papers14 papers in the last four weeks, down 53% on the four weeks before. 0.1% of all new papers.

  1. SVIn+: Multi-Modal Framework for Robust Underwater State Estimation using 3D Sonar, Visual-Inertial, Water-Pressure, and DVL

    Oct 27, 2026Chinmay Burgul, Xiaoming Zhao, Yewei Huang +4Robot State EstimationUnderwater Robotics

  2. Conditional Diffusion Generation of DVL and Inertial Signals for Underwater Navigation

    Oct 25, 2026Michal Levin, Itzik KleinSynthetic Data GenerationAutonomous Underwater Navigation

  3. A GPU-Resident Pipeline for Multi-Robot 3D Inspection with Limited Perception

    Oct 19, 2026Kryštof Pšenička, Stefan EdelkampRobotic InspectionMulti-Robot Motion Planning

  4. AQUAACT: A Joystick-Level Underwater Teleoperation Dataset and Closed-Loop Benchmark

    Oct 18, 2026Zhenqi Wu, Trung Tien Dong, Aditya Penumarti +5Underwater RoboticsVLA Model Training

  5. Adaptive Prescribed Performance Trajectory Tracking for Uncertain Autonomous Underwater Vehicles With Input Saturation

    Oct 14, 2026Athanasios K. Gkesoulis, Christos Vlachos, George K. Fourlas +2Robot Trajectory TrackingAdaptive Control

  6. Benchmarking 3D Reconstruction for Under-Ice Robotic Perception in Arctic Environments

    Oct 13, 2026Klára Orbán, Ashwin Nedungadi, Ana-Ştefania Kogălniceanu +53D ReconstructionUnderwater 3D Reconstruction

  7. A Unified Dynamics Framework for Reinforcement Learning and Classical Control of a Six-DOF Pipeline-Tracking ROV in NVIDIA Isaac Sim

    Oct 4, 2026Cheng Siong Chin, M. Venkateshkumar, Jianhua ZhangRL ControlUnderwater Robotics

  8. Leveraging Cost-effective Robotics for K-12 STEM Education through Water Quality Monitoring Tasks

    Oct 3, 2026Rishi Mukherjee, Andrew Ruiz, Travis Henderson +6Robotics EducationRobotic Data Collection

  9. WasserMan: Benchmark for Underwater Manipulation Policy Learning

    Oct 3, 2026Danil Belov, Artem Erkhov, Sergei Parsegov +1Underwater RoboticsRobot Manipulation Benchmarks

  10. MOSAIC-SV: Real-Time Adaptive Identification of Vessel Dynamics for the Control and Deployment of Aquatic Robots

    Oct 2, 2026Wensen Liu, Jerry Peng, Shravani Vedagiri +1Robot Dynamics IdentificationOnline System Identification

  11. Active Mapping of Underwater Litter Using Camera-Sonar Fusion

    Sep 30, 2026David Rete, Patrick Boros, Lucian BusoniuActive SensingUnderwater Robotics

  12. Onboard Vision and MPC Navigation for Underwater Robots: An Open BlueROV2 Platform for Multi-Robot Experiments & Docking

    Sep 29, 2026Victor Nan Fernandez-Ayala, Wiktor Kowalczyk, Cezary Banaszek +1Robot Trajectory TrackingUnderwater Robotics

  13. Multifunctional Locomotion Control of Multi-Jointed BURs with Swimming and gait Capabilities

    Sep 29, 2026Takumi Asada, Hideo Furuhashi, Kenta Tabata +2Robotic ControlRobot Locomotion

  14. All You Need Is Low Fidelity: Zero-Shot Sim-to-Real of Learned Robotic Fish Control

    Sep 29, 2026Liam Maloney, Simon Ramchandani, Mike Y. Michelis +2Robotic ControlRobotics Simulation

  15. AquaWAM: A Dynamics-aware World Action Model for Underwater Embodied Agents

    Sep 27, 2026Cunhao Zhu, Yifeng Wang, Dongliang Xu +3Robot Dynamics LearningAction-Conditioned World Models

  16. AquaBEV-Nav: Learned BEV Occupancy for Underwater Navigation and Exploration

    Sep 26, 2026Trung Tien Dong, Zhenqi Wu, Sahasra Kondapalli +3Autonomous Underwater NavigationUnderwater Robotics

  17. CoralPlan: Observation Skill Selection and Execution for Underwater Robotic Inspection

    Sep 25, 2026Yuer Gao, Yu Zhao, Yi CaiUnderwater RoboticsRobotic Inspection

  18. Underwater C3-JEPA: An Object-Centric Cross-View World Model for ROV Salvage

    Sep 24, 2026Yuncong Yang, Jinlong Li, Yulong Xue +4World Models for RoboticsJoint-Embedding Predictive Architecture

  19. A Tendon-Driven Robotic Jellyfish with Constrained Soft Actuation and Depth Control via Reinforcement Learning

    Sep 24, 2026Jiarui Peng, Yutong Wu, Zelong Wang +5Underwater RoboticsTendon-Driven Actuation

  20. Odometry-Aided Real-Time Mapping for Underwater Robots Using Forward-Looking Sonar

    Sep 21, 2026Siyuan Du, Kanzhong Yao, Youdong Wang +5Occupancy Grid MappingUnderwater Imaging

  21. AquaOrbit: Sim-to-Real Reinforcement Learning for Underwater Target Orbiting under Intermittent Visual Feedback

    Sep 21, 2026Kanzhong Yao, Jinyi Leng, Hao Zhang +2RL ControlSim-to-Real Transfer

  22. FinsSim: A Reality-Aligned Integrated Simulation Platform for Underwater Robot Learning

    Sep 20, 2026Yu Zhang, Yuanmingqing Song, Xiangyun Rao +4Robotic ControlRobotics Simulation

  23. Towards Reliable Underwater Diver-Robot Interaction: Gesture Design, Interaction Logic, and Real-World Evaluation

    Sep 20, 2026Yingqi Liu, Kanzhong Yao, Zimeng Peng +4Robotic ControlGesture Recognition

  24. AquaCap: A Training-Free Underwater Embodied Agent with Code-as-Policy

    Sep 19, 2026Xiaoshi Li, Yule Xu, Chunghiu Kong +5Underwater RoboticsAutonomous Underwater Navigation

  25. AquaWorld: Structure-Consistent Underwater World Generation for Robot Simulation

    Sep 19, 2026Bin Peng, Tiandong Zhang, Ruidong Wang +2Robotics SimulationSynthetic Data Generation for Robotics

  26. MarineCraft: Enabling Rapid Prototyping of Underwater Robots via Modular Construction

    Sep 18, 2026Yuta SugiuraRoboticsUnderwater Robotics

  27. Towards Effective Visual-Inertial SLAM with Passive-Only Sensors for Low-Cost Autonomous Underwater Vehicles

    Sep 17, 2026Grant Schwidder, David Widhalm, Junaed SattarVisual-Inertial SLAMAutonomous Underwater Navigation