Ning Bai

Shenyang Institute of Automation

Papers

2

Total Citations

12

H-Index

2

About

Ning Bai is a robotics researcher whose work bridges industrial automation and biomedical rehabilitation through innovative motion control and soft actuation technologies. His primary research areas include industrial robot trajectory generation, motion modularity, and soft robotic actuators for medical applications. Bai’s most cited paper, “A New Type of Industrial Robot Trajectory Generation Component Based on Motion Modularity Technology” (2020, 9 citations), introduces a groundbreaking approach inspired by biological motor control—where complex movements are composed of basic motion primitives, allowing the central nervous system to ignore specific movement details. This bio-inspired method enhances industrial robot efficiency and flexibility. In parallel, Bai’s work on “Design and Simulation of Spine Rehabilitation Soft Robotic Actuator” (2019, 3 citations) explores pneumatic artificial muscles (PAMs) as lightweight, flexible actuators for safer human-robot interaction, demonstrating their potential in biomedical rehabilitation. By integrating principles from neuroscience and soft robotics, Bai advances both manufacturing and healthcare, offering safer, more adaptive robotic systems. His contributions highlight a vision where robots mimic natural motion for improved performance and human compatibility.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A New Type of Industrial Robot Trajectory Generation Component Based on Motion Modularity Technology
9 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Shenyang Institute of Automation

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago