Yuhao Bai

About

Yuhao Bai is a prominent researcher at the intersection of agricultural robotics, computer vision, and autonomous systems, whose work has significantly advanced the automation of modern farming practices. With a research focus spanning vision-based navigation, crop detection, robotic harvesting, and adaptive path planning, Bai has established himself as a leading voice in intelligent agricultural machinery. His highly cited 2022 review on vision-based navigation for agricultural autonomous vehicles (303 citations) serves as a foundational reference in the field, comprehensively mapping the landscape of perception and guidance technologies for farm robots. Building on this, his 2023 follow-up on crop row detection (94 citations) addresses one of the most technically demanding challenges in field robotics under dynamic environmental conditions. His contributions to robotic harvesting are equally notable, with machine learning-driven tomato detection (74 citations) and multi-network cucumber segmentation (54 citations) demonstrating practical pathways toward automated crop handling. Bai has also explored multi-sensor grasping systems for fragile fruits and greenhouse navigation using advanced SLAM and path planning algorithms. More recently, his survey on DAG-based blockchain in smart mobility signals a broadening research vision toward connected autonomous systems, making his portfolio both deep and expansively interdisciplinary.

Research Focus

Key Achievements

Top Papers

1. 1
   Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review

   303 citations · 2022
2. 2
   Row Detection BASED Navigation and Guidance for Agricultural Robots and Autonomous Vehicles in Row-Crop Fields: Methods and Applications

   94 citations · 2023
3. 3
   Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting

   74 citations · 2022
4. 4
   Multi-network fusion algorithm with transfer learning for green cucumber segmentation and recognition under complex natural environment

   54 citations · 2022
5. 5
   An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests

   22 citations · 2020
6. 6
   Autonomous navigation and adaptive path planning in dynamic greenhouse environments utilizing improved LeGO‐LOAM and OpenPlanner algorithms

   21 citations · 2024
7. 7
   A Survey on Directed Acyclic Graph-Based Blockchain in Smart Mobility

   10 citations · 2025
8. 8
   An Efficient Collision Detection Algorithm for the Dual-Robot Coordination System

   7 citations · 2018
9. 9
   Autonomous navigation and adaptive path planning in dynamic greenhouse environments utilizing improved LeGO-LOAM and OpenPlanner algorithms

   2 citations · 2023
10. 10
    Autonomous navigation and adaptive path planning in dynamic greenhouse environments utilizing improved LeGO-LOAM and OpenPlanner algorithms

    1 citations · 2023

Key Collaborators

Contact & Links