Frank Joublin
Papers
28
Total Citations
1,094
H-Index
13
About
Frank Joublin is a pioneering researcher whose work sits at the intersection of human-robot interaction, robot gesture generation, and increasingly, large language model applications in robotics. Over more than two decades, he has made foundational contributions to understanding how robots can communicate more naturally and effectively with humans, with a particular focus on multimodal behavior and anthropomorphism. Joublin's most influential work explores how gesture shapes human perception of robots. His 2013 study on how robot errors affect perceived anthropomorphism and likability has accumulated over 400 citations, becoming a landmark reference in social robotics. Complementary research from 2011–2012 on communicative gesture generation and multimodal behavior—collectively drawing nearly 300 additional citations—helped establish gesture as an essential design dimension for humanoid robots like ASIMO. More recently, Joublin has embraced the transformative potential of large language models, contributing innovative frameworks such as LaMI and CoPAL that advance multi-modal interaction and autonomous task planning in open-world environments. His earlier work also touched on developmental speech acquisition models, reflecting a broad, systems-level curiosity about intelligent behavior. With nearly 1,000 total citations, his career represents a sustained and evolving contribution to making robots more human-compatible partners.
Research Focus
Key Achievements
Top Papers
- 1
- 2Generation and Evaluation of Communicative Robot Gesture182 citations · 2012
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- 5LaMI: Large Language Models for Multi-Modal Human-Robot Interaction64 citations · 2024
- 6Complex behavior by means of dynamical systems for an anthropomorphic robot42 citations · 1999
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- 8CoPAL: Corrective Planning of Robot Actions with Large Language Models25 citations · 2024
- 9Towards Meaningful Robot Gesture20 citations · 2009
- 10