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M. Ishino

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Real-time Object Detection and Semantic Mapping on CPU-Powered Mobile Robot

This work confirms the feasibility of integrating YOLOv10 into the CPU-only ROS2 system and demonstrates through qualitative analysis that the low precision is caused by clusters of False Positives, stemming from the instability of the monocular 3D projection method and inaccuracy in estimation of object detection.

M. Ishino, Ryuto Ishibashi, Zhen-Ling Su et al. · 0 citations
Conference Aug 2026

Score-Based Harvesting Order Planning and False Detection Handling for Robotic Tomato Harvesting

Robotic tomato harvesting is crucial for addressing agricultural labor shortages. However, existing systems struggle with optimal order planning in dense clusters and erroneous motions caused by false detections. We propose a robotic harvesting system evaluated in a controlled setting with artificial tomatoes, making t...

M. Ishino, Takumi Yamamoto, Runqian Zhang et al. · 0 citations

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