Maryam Salem

Papers

1

Total Citations

10

H-Index

1

About

Maryam Salem is a pioneering researcher in human-robot interaction, with a primary focus on endowing robots with expressive nonverbal communication. Her most influential work, "Generating robot gesture using a virtual agent framework" (2010, 10 citations), addresses a fundamental challenge in building sociable machines: enabling robots to produce natural, speech-accompanying gestures. Salem's approach leverages virtual agent frameworks to overcome the technical hurdles of gesture generation, bridging the gap between human-like expressiveness and robotic embodiment. This foundational contribution has shaped how researchers think about designing communicative robots that can effectively illustrate speech through movement. While her citation count reflects the specialized nature of her early work, Salem's research has lasting implications for the development of socially intelligent robots capable of engaging in more natural, multimodal interactions with humans. Her work sits at the intersection of robotics, artificial intelligence, and cognitive science, offering practical pathways for creating machines that can communicate not just through words, but through the rich, expressive language of the body.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Generating robot gesture using a virtual agent framework
10 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago