Papers

1

Total Citations

3

H-Index

1

About

Bobo Ge is a researcher focused on advancing the field of intelligent robotics and autonomous navigation, with a particular emphasis on path planning algorithms for domestic cleaning machines. Their most cited work, "Research on Full Traversal Path Planning based on Improved Reciprocating Algorithm" (2020, 3 citations), addresses critical challenges in the design of sweeping robots, such as incomplete coverage due to inefficient path design and the common "dead point" entrapment issue. By proposing an enhanced reciprocating algorithm, Ge contributes to more reliable and thorough autonomous cleaning, directly impacting the practical performance of household AI applications. This research underscores Ge’s commitment to solving real-world problems in robotics, improving both efficiency and user experience. While still early in their career, Ge’s work lays a foundation for future innovations in full traversal path planning, offering valuable insights for students and researchers interested in the intersection of artificial intelligence, robotics, and smart home technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Research on Full Traversal Path Planning based on Improved Reciprocating Algorithm
3 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Tianjin University of Technology and Education

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago