Saad N. Yousaf — accepted AI-conference papers

2026

Human-Exoskeleton Kinematic Calibration to Improve Hand Tracking for Dexterous Teleoperation

Haiyun Zhang, Stefano Dalla Gasperina, Saad N. Yousaf, Job D. Ramirez, Toshimitsu Tsuboi, Tetsuya Narita +1

RA-L 2026

Hand exoskeletons are critical tools for dexterous teleoperation and immersive manipulation interfaces, but achieving accurate hand tracking remains a challenge due to user-specific anatomical variability and donning inconsistencies. These issues lead to kinematic misalignments that degrade tracking

Cited by 1 Source ↗Scholar ↗

2024

Experimental and Simulation-Based Estimation of Interface Power During Physical Human-Robot Interaction in Hand Exoskeletons

Saad N. Yousaf, Gaurav Mukherjee, Raymond J. King, Ashish D. Deshpande

RA-L 2024

Even the best wearable robots face challenges with power losses in the system, especially at the physical attachment interface. While some sources for power loss are inherent to the system, such as human soft tissue or musculoskeletal joint damping, other sources such as soft padding materials and b

Cited by 5 Source ↗Scholar ↗