# A YOLO-GGCNN based grasping framework for mobile robots in unknown environments

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-yolo-ggcnn-based-grasping-framework-for-mobile-robots-in-unknown-environments/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhen Li,Benlian Xu,Di Wu,Kang Zhao,Siwen Chen,Mingli Lu,Jinliang Cong |
| Citations | 53 |
| DOI | 10.1016/j.eswa.2023.119993 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4362723113 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Di Wu](https://scholariq.org/researchers/di-wu/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## Paper primary topic

- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)

## Paper topics

- [Robotics and Sensor-Based Localization](https://scholariq.org/topics/robotics-and-sensor-based-localization/)
- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)
- [Robotic Path Planning Algorithms](https://scholariq.org/topics/robotic-path-planning-algorithms/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.