Papers
16
Total Citations
219
H-Index
8
About
Malik Mallem is a pioneering figure in teleoperation and human-robot interaction, whose research has shaped how humans remotely control robots through virtual and augmented reality. His work spans telemanipulation, humanoid robot control, and gesture recognition, with a focus on making remote robot operation more intuitive and effective. Mallem’s most cited paper, “Real-time tele-operation and tele-walking of humanoid Robot Nao using Kinect Depth Camera” (2013, 46 citations), demonstrates his ability to bridge natural human movement and robotic control, enabling operators to guide humanoid robots through simple gestures. His foundational contributions include developing “Active virtual guides” for augmented reality-based telemanipulation (2002, 31 citations) and early work on computer-assisted visual perception in teleoperated robotics (1992, 24 citations), which addressed the critical challenge of managing data flow between human operators and remote robots. Mallem also advanced gesture recognition for humanoid robot teleoperation (2017, 23 citations) and automatic camera calibration (2003, 16 citations), enhancing the precision and usability of teleoperation systems. His research on human action recognition using Laban Movement Analysis (2020, 14 citations) and multimodal interaction in large-scale virtual environments (2008, 12 citations) reflects his ongoing commitment to creating more natural, accessible interfaces. With over 190 citations across his work, Mallem has left a lasting impact on teleoperation, augmented reality, and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 3Computer-assisted visual perception in teleoperated robotics24 citations · 1992
- 4Gesture recognition for humanoid robot teleoperation23 citations · 2017
- 5Automatic camera calibration based on robot calibration16 citations · 2003
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- 9AUGMENTED REALITY INTERFACE FOR FREE TELEOPERATION8 citations · 2005
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