Papers
26
Total Citations
311
H-Index
10
About
Tauseef Gulrez is a leading researcher at the intersection of robotics, haptics, and virtual reality, with a primary focus on developing intelligent assistive technologies for healthcare and rehabilitation. His most impactful work includes the design of a laparoscopic grasping tool with multiaxis force sensing (87 citations), a critical contribution to minimally invasive surgery that enables surgeons to “feel” tissue properties through enhanced haptic feedback. Gulrez has also pioneered sensorized garment-controlled virtual robotic wheelchairs and hands-free interfaces for individuals with motor impairments, demonstrating a deep commitment to accessible mobility solutions. His research extends to autonomous mobile robot navigation, where he introduced the free configuration eigen-spaces (FCE) path planning method, and to the study of sensory integration, showing how visual and haptic feedback influence force detection during surgical tasks. As the editor of *Advances in Robotics and Virtual Reality*, Gulrez has helped shape the discourse on embodied interaction. With over 200 citations across his portfolio, his work is distinguished by its direct translational impact—bridging cutting-edge sensor networks, probabilistic roadmaps, and VR-based rehabilitation to create systems that are both technically rigorous and socially meaningful.
Research Focus
Key Achievements
Top Papers
- 1A Laparoscopic Grasping Tool with Force Sensing Capability87 citations · 2015
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- 4A Sensorized Garment Controlled Virtual Robotic Wheelchair20 citations · 2013
- 5Advances in Robotics and Virtual Reality20 citations · 2011
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- 8A Hands-Free Interface for Controlling Virtual Electric-Powered Wheelchairs11 citations · 2016
- 9Autonomous trajectory learning using free configuration-eigenspaces10 citations · 2009
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