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Quan Qiu

3 accepted papers

2024

TriLoc-NetVLAD: Enhancing Long-term Place Recognition in Orchards with a Novel LiDAR-Based Approach

IROS 2024poster

Accurate long-term place recognition is crucial for agricultural robots operating in unstructured environments. However, in the challenging scene of orchard with high-frequency repetitive features, traditional LiDAR-based localization methods relying on geometric features prove to be inadequate. To…

Cited by 0SourceScholar
2023

Multi-Arm Robot Task Planning for Fruit Harvesting Using Multi-Agent Reinforcement Learning

IROS 2023poster

The emergence of harvesting robotics offers a promising solution to the issue of limited agricultural labor resources and the increasing demand for fruits. Despite notable advancements in the field of harvesting robotics, the utilization of such technology in orchards is still limited. The key chall…

Cited by 9SourceScholar
2021

Depth Ranging Performance Evaluation and Improvement for RGB-D Cameras on Field-Based High-Throughput Phenotyping Robots

IROS 2021poster

RGB-D cameras have been successfully used for indoor High-ThroughPut Phenotyping (HTPP). However, their capability and feasibility for in-field HTPP applications still need to be evaluated. To solve the problem, we evaluate the depth-ranging performances of a consumer-level RGB-D camera (RealSense D…

Cited by 6SourceScholar