Latest Research in Robotics

Top Research Topics in Robotics

• Smart Agriculture and AI — 61 papers
• Computer Vision and Pattern Recognition — 26 papers
• Robotics — 5 papers
• Remote Sensing in Agriculture — 4 papers
• Wood and Agarwood Research — 4 papers
• Spectroscopy and Chemometric Analyses — 3 papers
• Remote Sensing and LiDAR Applications — 3 papers
• Industrial Vision Systems and Defect Detection — 3 papers
• Plant Surface Properties and Treatments — 2 papers
• Leaf Properties and Growth Measurement — 2 papers

Highest-Cited Papers

1. Million-scale multimodal pollen microscopy with expert-guided foundation models
2. CGMap: A Geospatially Aware Deep Learning Framework for Crop Gap Mapping Using UAV
3. HarvestPoint-ACT: Explicit Target Selection and Harvest-Point Conditioning for Robotic Fruit Harvesting under Occlusion
4. Scale Matters: Adaptive Granularity Selection for Cross-Species 3D Plant Organ Segmentation
5. Autonomous Agricultural Tractor: Integrated Weed Detection and LiDAR Navigation for Precision Paddy Farming
6. High-throughput pollen germination phenotyping for assessing heat tolerance in soybean
7. A maize canopy phenotypic traits detection method based on improved Mask2YOLO cascade deep learning network
8. Enhancing Pest Detection in Agriculture: A Multi-Scale Feature Fusion Approach with YOLOv3
9. A Multi-Model Fusion Framework for Robust Mango Detection in Complex Orchard Environments
10. Non-Destructive Classification of Ataulfo Mango Ripeness Using Color Images and Machine Learning
11. Assessing Olive Diseases in Albania for UAV- and AI-Based Monitoring
12. Detection of Candidate Wuyi Rock-Tea Shoots in Field RGB Images Using YOLO11s-CSNG
13. Seeing the Unseen: RCPNet’s Dual Strategy for Occluded and Similar-Color Sweet Persimmon Detection in Dense Canopies
14. DAAL-YOLOv12n: A Method for Detecting Common Forest Pests Incorporating Dynamic Attention and Adaptive Lightweight Modules
15. Detection of Kernel-Level Spoilage Adulteration in Dried Goji Berries Using Zero-Shot Learning and Computer Vision
16. UAV-Based Classification of Crop Phenological Stages Using Deep Learning
17. Computer Vision from Tea Cultivation to Quality Evaluation
18. AerialYield-B2D: A Greenhouse Blueberry Dataset with Five-Stage Ripeness Masks and Fruit Counts
19. Using an enhanced U-Net architecture to segment intricate motifs from heritage-based wood carvings
20. FISHER: Gradient-Decoupled Hierarchical Multi-Task Learning for Fine-Grained Aquatic Species Recognition