Work

VDS-Nav: Volumetric Depth-Based Safe Navigation for Aerial Robots–Bridging the Sim-to-Real Gap

Year: 2025

Type: article

Source: IEEE Robotics and Automation Letters

DOI: 10.1109/lra.2025.3606806

Authors: Van Huyen Dang, Adrian Redder, Huy Xuan Pham, Andriy Sarabakha, Erdal Kayacan

Institutions: Paderborn University, Aarhus University

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: HORIZON EUROPE Framework Programme

Award: G5651680017

OpenAlex ID: W4414008183

FWCI: 0.825

Cites: 32

Cited by: 2

Related to: 10