Papers
4
Total Citations
24
H-Index
3
About
Zain Murtaza is a robotics researcher whose work spans human-computer interaction, robotic manipulation, and soft robotics. His most cited paper, "Human Computer Interaction Based on Gestural Cues Recognition/Sign Language to Text Conversion" (2019, 9 citations), addresses accessibility by translating sign language into text, demonstrating a commitment to inclusive technology. In robotics, Murtaza has contributed to both kinematic analysis and practical design. His 2014 paper on a 2P-3R planar pneumatic robotic arm (8 citations) provides fundamental insights into forward kinematics for end-effector positioning, while his 2016 work on a low-cost 2-DOF autonomous sentry gun (2 citations) showcases his ability to develop affordable security solutions. Most recently, Murtaza’s 2023 paper on a soft cap for vine robots (5 citations) tackles a key challenge in soft robotics—enabling these growing, eversion-based robots to navigate inaccessible spaces more effectively. This work highlights his engagement with cutting-edge robotic platforms. With a research portfolio that bridges theoretical kinematics, practical mechatronics, and emerging soft robotic systems, Murtaza demonstrates versatility and a focus on creating functional, cost-effective, and socially beneficial robotic technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Soft Cap for Vine Robots5 citations · 2023
- 4Design and manufacturing of a low-cost 2-DOF autonomous sentry gun2 citations · 2016