Abdul Rahaman

The University of Texas at Arlington

Papers

1

Total Citations

3

H-Index

1

About

Abdul Rahaman is a researcher at the intersection of robotics, human–machine interaction, and assistive technology. His work focuses on developing affordable, accessible robotic systems to enhance mobility and manipulation for individuals with physical impairments. His most-cited paper, "An Affordable Telerobotic System Architecture for Grasp Training and Object Grasping for Human–Machine Interaction" (2023), introduces a multi-degree-of-freedom robotic platform designed to help users overcome reach and grasping limitations. This system integrates intuitive telerobotic control with real-time feedback, enabling effective grasp training and object manipulation for those relying on wheelchairs or other mobility aids. With 3 citations to date, this work represents a foundational contribution to low-cost assistive robotics, emphasizing practicality and user-centered design. Rahaman’s research addresses critical challenges in rehabilitation and daily living assistance, bridging the gap between advanced robotic capabilities and real-world affordability. His work holds promise for improving independence and quality of life for individuals with mobility impairments, making him a notable emerging voice in the field of human–machine interaction and assistive robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
An Affordable Telerobotic System Architecture for Grasp Training and Object Grasping for Human–Machine Interaction
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: The University of Texas at Arlington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago