Max Robotics — Global Service Robot Directory + US Certification

About

Muhammad Sikandar Lal Khan is a researcher focused on enhancing human communication through embodied telepresence and socially interactive robotic systems. His work addresses the critical gap in traditional video conferencing—the loss of nonverbal cues essential for genuine social presence. In his 2015 paper on "Embodied Head Gesture and Distance Education" (9 citations), Khan demonstrated how integrating physical gestures can significantly improve emotional connection in remote learning environments. He further advanced this field with "Action Augmented Real Virtuality" (2018, 4 citations), which proposed a design framework for increasing spatial and social presence in video teleconferencing. Khan's contributions extend to robotics, notably through the "Telepresence Mechatronic Robot (TEBoT)" (2016, 3 citations), a bio-inspired system that mimics human communication cues. His pilot study on mobile robotic telepresence (2014, 6 citations) explored how embodied systems enhance the experience for remote users. By bridging the gap between physical and digital interaction, Khan's research—cumulatively cited over 29 times—offers practical solutions for more immersive, human-centered communication technologies, with implications for education, healthcare, and collaborative work.