Wenhao Bai

Beibu Gulf University

Papers

2

Total Citations

10

H-Index

2

About

Wenhao Bai is a rising researcher in intelligent robotics, with a primary focus on visual servo grasping and 6-degree-of-freedom (6-DoF) manipulation. His work addresses critical limitations in robotic perception and control, particularly the long-standing issues of quantization errors, inference delays, and susceptibility to interference in 3D pose estimation. In his highly cited 2024 paper, Bai introduced a keypoint-driven servoing method that reformulates 6-DoF grasping as a minimization problem, achieving robust, uncalibrated performance using only an RGB-D sensor. This work has already garnered 8 citations, reflecting its timely impact on the field. Additionally, his 2024 study on robust adaptive visual servo grasping tackles the practical challenge of field-of-view constraints, ensuring task success even when visual features move outside the camera’s view—a common failure point in traditional approaches. Though early in his career, Bai’s contributions are shaping next-generation robotic systems for intelligent manufacturing, offering both theoretical depth and practical reliability. His research stands out for its focus on real-world robustness, making him a promising voice in the future of autonomous robotic manipulation.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Uncalibrated 6-DoF Robotic Grasping With RGB-D Sensor: A Keypoint-Driven Servoing Method
8 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Beibu Gulf University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago