Mohammad Dadkhah

PATH To Reading

Papers

1

Total Citations

49

H-Index

1

About

Mohammad Dadkhah is a leading researcher in robotic grasping and adhesion technologies, with a focus on developing innovative solutions for part-handling and surface manipulation. His most-cited work, "A self-aligning gripper using an electrostatic/gecko-like adhesive" (2016, 49 citations), introduces a groundbreaking robotic gripper that combines electrostatic forces with gecko-inspired adhesives. This design overcomes the limitations of traditional vacuum grippers by eliminating the need for compressed air systems, enabling faster actuation and more reliable handling of flat surfaces. Dadkhah’s contributions have significant implications for industrial automation, particularly in pick-and-place tasks where speed and adaptability are critical. His research bridges materials science and robotics, offering a scalable, energy-efficient alternative to conventional gripping methods. With a growing citation impact, Dadkhah’s work continues to inspire advancements in soft robotics and adhesive technologies, positioning him as a key innovator in the field.

Research Focus

Key Achievements

1
H-Index
1
Papers
49
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
A self-aligning gripper using an electrostatic/gecko-like adhesive
49 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: PATH To Reading

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago