Papers

2

Total Citations

13

H-Index

2

About

Long Zheng is an emerging researcher specializing in human-robot interaction, teleoperation systems, and robotic control engineering. His work focuses on the challenging problem of translating natural human arm movements into precise, real-time control of anthropomorphic dual-arm robotic systems — a frontier area with significant implications for industrial automation, assistive robotics, and remote operation in hazardous environments. Zheng's most notable contributions center on sensor fusion methodologies that address one of the field's persistent technical hurdles: accurately capturing and replicating multi-degree-of-freedom human arm motions despite real-world complications such as occlusion. His 2023 paper on whole-body teleoperation control has already garnered 10 citations, reflecting strong early interest from the robotics community, while his complementary work on integrating sensor fusion for anthropomorphic dual-arm robots further demonstrates his systematic approach to solving control accuracy challenges. Though still building his citation profile, Zheng's focused research agenda and back-to-back publications in 2023 signal a productive trajectory. Students and researchers working in humanoid robotics, teleoperation architectures, or human-machine interfaces will find his sensor fusion frameworks particularly relevant as the field moves toward more intuitive and responsive robotic control systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Whole-Body Teleoperation Control of Dual-Arm Robot Using Sensor Fusion
10 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Jilin University, Changchun University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago