This repository serves as a curated compilation of research papers, code, and resources focused on Active Simultaneous Localization and Mapping (Active SLAM) and Robotic Exploration. It aims to provide researchers and practitioners with a structured overview of the state-of-the-art, enabling understanding of autonomous robotic systems for complex environments.

How It Works

The repository organizes academic literature from the author's perspective, categorizing papers across key sub-domains like surveys, coverage planning, object navigation, autonomous mapping, active localization, and core Active SLAM. It highlights the field's evolution, driven by advancements in state estimators, motion planning, 3D representations, and LLMs, facilitating independent robotic navigation and mapping.

Quick Start & Requirements

As a curated list of research papers, this repository requires no software installation. Access to academic databases is needed for paper viewing. Some entries link to associated code repositories or project websites for practical implementations.

Highlighted Details

• Comprehensive categorization of research into areas such as Coverage Planning, Object Navigation, Autonomous Mapping, Active Localization, and core Active SLAM.
• Extensive coverage of recent (2023-2026) and foundational works, with many entries linking to papers, code, and project websites.
• Highlights integration of modern AI techniques like LLMs, NeRF, and 3D Gaussian Splatting in robotic exploration and mapping.

Maintenance & Community

The README provides no specific details regarding repository maintainers, community channels, or ongoing development efforts. It appears to be a static compilation of research rather than an actively developed software project.

Licensing & Compatibility

No license information is specified within the README. This absence prevents determination of use, distribution, or compatibility terms for commercial or closed-source applications.

Limitations & Caveats

The primary caveat is that paper classification is subjective and reflects the author's viewpoint. The repository's utility is limited to providing research pointers, not executable code. The lack of licensing information is a significant adoption blocker.