Papers

1

Total Citations

6

H-Index

1

About

Taoqi Zhou is a researcher at the forefront of intelligent robotics, with a primary focus on autonomous navigation and sensor fusion technologies. His most cited work, "Research on Key Technologies of Meal Delivery Robot Based on the fusion of Lidar and Machine Vision" (2021, 6 citations), exemplifies his core contribution: designing robots that seamlessly integrate Lidar and machine vision data in both time and space. This innovation enables meal delivery robots to perceive their environment with enhanced accuracy and reliability, addressing a critical challenge in service robotics. Zhou’s research is pivotal for advancing autonomous systems in dynamic, real-world settings like restaurants and hospitals, where precise navigation is essential. Though his citation count is modest, his work represents a foundational step in practical robot deployment, bridging theoretical sensor fusion with tangible applications. By tackling key technical hurdles—such as data synchronization and obstacle avoidance—Zhou has laid groundwork for future innovations in service robotics, making him a notable contributor to the field’s evolution toward safer, more efficient autonomous agents.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Research on Key Technologies of Meal Delivery Robot Based on the fusion of Lidar and Machine Vision
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chongqing University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago