Papers
2
Total Citations
77
H-Index
2
About
Manav Wadhawan is a researcher at the intersection of human-robot interaction, augmented reality (AR), and assistive robotics. His most influential work, "GhostAR," introduces a novel time-space editor for embodied authoring of human-robot collaborative tasks using AR. This system allows users to program robots through demonstrative role-playing, enabling intuitive, in-situ task authoring—a significant contribution to making robot programming accessible and efficient. With 68 citations, GhostAR has become a key reference in AR-based human-robot collaboration. Earlier, Wadhawan explored assistive technology in "Upper-Limb Shape Memory Alloy Orthosis for Restoration or Improvement of Basic Hand Functions," where he leveraged shape memory alloys (SMAs) as actuators for a hand exoskeleton. This work, though less cited, demonstrates his commitment to applying smart materials for rehabilitation and assistive robotics. Together, his research bridges the gap between intuitive human-robot interaction and practical assistive devices, offering valuable insights for students and researchers in robotics, AR, and biomedical engineering.
Research Focus
Key Achievements
Top Papers
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