Andrew McDaid

University of Auckland

Papers

50

Total Citations

921

H-Index

20

About

Andrew McDaid is a prominent researcher whose work sits at the intersection of robotics, rehabilitation engineering, and human-robot interaction. His research spans soft robotics, exoskeleton design, electromyography-based control, and smart actuator technologies, with a particular focus on developing systems that work seamlessly and safely alongside humans. McDaid's most influential contributions include pioneering soft, cable-driven exoskeleton joints that enable intrinsic human-robot interaction for rehabilitation (65 citations), and adaptive control strategies for parallel ankle rehabilitation robots utilizing pneumatic muscles (54 citations). His work on EMG-based decoding of dexterous hand manipulation motions (53 citations) has advanced prosthetic and assistive device control, while his integration of carbon nanotube sensors into soft pneumatic actuators (51 citations) represents a significant leap in intelligent soft robotics. A recurring theme across his portfolio is subject-specific adaptation, evident in his bilateral upper limb training systems and fatigue assessment research using surface EMG. His earlier contributions on ionic polymer metal composites (IPMC) for surgical robotics and bio-applications further demonstrate his breadth across compliant actuation technologies. With over 400 cumulative citations, McDaid's research has meaningfully shaped modern rehabilitation robotics and human-centric automation.

Research Focus

Key Achievements

20
H-Index
50
Papers
921
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Robust Control of a Cable-Driven Soft Exoskeleton Joint for Intrinsic Human-Robot Interaction
65 citations · 2017
📈 Most Prolific Year: 2019 (10 Papers)
🤝 Key Collaborators: 70
🏛 Institutions: University of Auckland

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago