Cover Image

A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Batista, Luis F W, Ro, Junghwan, Richard, Antoine, Schroepfer, Pete, Hutchinson, Seth, Pradalier, Cedric
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sim-to-Real Transfer and Robustness Evaluation of Reinforcement Learning Control with Integrated Perception on an ASV for Floating Waste Capture
by: Batista, Luis F. W., et al.
Published: (2026)

Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field Tests
by: Batista, Luis F. W., et al.
Published: (2025)

RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation
by: El-Hariry, Matteo, et al.
Published: (2025)

Evaluation of Polarimetric Fusion for Semantic Segmentation in Aquatic Environments
by: Batista, Luis F. W., et al.
Published: (2025)

Reinforcement Learning-Based Model Matching to Reduce the Sim-Real Gap in COBRA
by: Salagame, Adarsh, et al.
Published: (2024)

Reversible Kalman Filter for state estimation with Manifold
by: Covanov, Svyatoslav, et al.
Published: (2025)

Towards Efficient Occupancy Mapping via Gaussian Process Latent Field Shaping
by: Gentil, Cedric Le, et al.
Published: (2025)

EmoBipedNav: Emotion-aware Social Navigation for Bipedal Robots with Deep Reinforcement Learning
by: Zhu, Wei, et al.
Published: (2025)

Sim-to-Real Transfer in Deep Reinforcement Learning for Bipedal Locomotion
by: Bao, Lingfan, et al.
Published: (2025)

Guaranteed Reach-Avoid for Black-Box Systems through Narrow Gaps via Neural Network Reachability
by: Chung, Long Kiu, et al.
Published: (2024)

NavRL++: A System-Level Framework for Improving Sim-to-Real Transfer in Reinforcement Learning-Based Robot Navigation
by: Xu, Zhefan, et al.
Published: (2026)

Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin
by: Abou-Chakra, Jad, et al.
Published: (2025)

Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach
by: Abbas, Ammar N., et al.
Published: (2024)

Bridging the Sim-to-Real Gap with Bayesian Inference
by: Rothfuss, Jonas, et al.
Published: (2024)

PoTATO: A Dataset for Analyzing Polarimetric Traces of Afloat Trash Objects
by: Batista, Luis Felipe Wolf, et al.
Published: (2024)

CycleRL: Sim-to-Real Deep Reinforcement Learning for Robust Autonomous Bicycle Control
by: Liu, Gelu, et al.
Published: (2026)

VR-Robo: A Real-to-Sim-to-Real Framework for Visual Robot Navigation and Locomotion
by: Zhu, Shaoting, et al.
Published: (2025)

Depth-Constrained ASV Navigation with Deep RL and Limited Sensing
by: Zhalehmehrabi, Amirhossein, et al.
Published: (2025)

Real-to-Sim Grasp: Rethinking the Gap between Simulation and Real World in Grasp Detection
by: Cai, Jia-Feng, et al.
Published: (2024)

Bridging the Sim-to-Real Gap with Dynamic Compliance Tuning for Industrial Insertion
by: Zhang, Xiang, et al.
Published: (2023)

Quantification of Sim2Real Gap via Neural Simulation Gap Function
by: Sangeerth, P, et al.
Published: (2025)

Robotic Strawberry Harvesting with Robust Vision and Deep Reinforcement Learning based Sim-to-Real Control
by: Bashir, Al, et al.
Published: (2026)

Deep Reinforcement Learning for Sim-to-Real Policy Transfer of VTOL-UAVs Offshore Docking Operations
by: Ali, Ali M., et al.
Published: (2024)

Hierarchical Reinforcement Learning and Value Optimization for Challenging Quadruped Locomotion
by: Coholich, Jeremiah, et al.
Published: (2025)

HyperSim: A Holistic Sim-To-Real Framework For Robust Robotic Manipulation
by: Dong, Junyi, et al.
Published: (2026)

FalconGym: A Photorealistic Simulation Framework for Zero-Shot Sim-to-Real Vision-Based Quadrotor Navigation
by: Miao, Yan, et al.
Published: (2025)

Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective
by: He, Haoran, et al.
Published: (2023)

Impact-Aware Robotic Manipulation: Quantifying the Sim-To-Real Gap for Velocity Jumps
by: van Steen, Jari, et al.
Published: (2024)

Sim2Sea: Sim-to-Real Policy Transfer for Maritime Vessel Navigation in Congested Waters
by: Cui, Xinyu, et al.
Published: (2026)

SimShear: Sim-to-Real Shear-based Tactile Servoing
by: Freud, Kipp McAdam, et al.
Published: (2025)

Bridging the Sim-to-Real Gap for Athletic Loco-Manipulation
by: Fey, Nolan, et al.
Published: (2025)

MagBotSim: Physics-Based Simulation and Reinforcement Learning Environments for Magnetic Robotics
by: Bergmann, Lara, et al.
Published: (2025)

PolySim: Bridging the Sim-to-Real Gap for Humanoid Control via Multi-Simulator Dynamics Randomization
by: Lei, Zixing, et al.
Published: (2025)

Benchmarking the Sim-to-Real Gap in Cloth Manipulation
by: Blanco-Mulero, David, et al.
Published: (2023)

Zero-Shot Sim-to-Real Reinforcement Learning for Fruit Harvesting
by: Williams, Emlyn, et al.
Published: (2025)

SurfSLAM: Sim-to-Real Underwater Stereo Reconstruction For Real-Time SLAM
by: Bagoren, Onur, et al.
Published: (2026)

Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
by: Wagenmaker, Andrew, et al.
Published: (2024)

Can Context Bridge the Reality Gap? Sim-to-Real Transfer of Context-Aware Policies
by: Iannotta, Marco, et al.
Published: (2025)

Instance Performance Difference: A Metric to Measure the Sim-To-Real Gap in Camera Simulation
by: Chen, Bo-Hsun, et al.
Published: (2024)

Benchmarking Sim2Real Gap: High-fidelity Digital Twinning of Agile Manufacturing
by: Katyara, Sunny, et al.
Published: (2024)