Papers

2

Total Citations

24

H-Index

2

About

Xi Ma is a robotics researcher whose work centers on autonomous systems, simultaneous localization and mapping (SLAM), and intelligent path planning for industrial applications. Ma's most significant contributions focus on the deployment of inspection robots in complex factory environments, addressing critical challenges in industrial safety monitoring. Recognizing the inefficiencies and human resource burdens associated with traditional manual inspection methods, Ma has developed advanced SLAM-based frameworks that enable robots to navigate and map intricate real-world scenarios with greater precision and reliability. Ma's research directly targets the practical needs of modern manufacturing and production facilities, where consistent, high-frequency safety inspections are essential but logistically demanding. By integrating sophisticated localization algorithms with optimized path planning strategies, Ma's work offers a compelling technological pathway toward automating routine safety protocols, reducing human workload while significantly enhancing inspection reliability and coverage. With cumulative citations reaching approximately 24 across closely related publications from 2023 alone, Ma's research has already attracted meaningful attention within the robotics and industrial automation communities. This early impact suggests a promising trajectory, positioning Ma as an emerging voice in the growing field of intelligent autonomous inspection systems and safety-critical robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Research on SLAM and Path Planning Method of Inspection Robot in Complex Scenarios
14 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing University of Civil Engineering and Architecture

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago