Papers
41
Total Citations
590
H-Index
13
About
Angelica Lim is a pioneering researcher at the intersection of social robotics, human-robot interaction, and affective computing. Her work spans emotional intelligence in robots, expressive multimodal communication, and the ethics of autonomous systems — areas where she has made consistently influential contributions over more than a decade. Lim is perhaps best known for advancing how robots understand and express emotion. From her early cross-modal framework linking emotional gesture, voice, and music (2012) to the MEI robot's developmental emotional intelligence (2014) and variational autoencoder-driven body language generation (2019), she has systematically built the scientific foundation for socially expressive machines. Her UE-HRI dataset (2017, 95 citations) stands as her most-cited contribution, providing a critical open resource for studying spontaneous human-robot engagement using the Pepper platform. Beyond expressiveness, Lim has explored robot musical accompaniment, co-speech gesture generation, and empathy modeling, demonstrating remarkable breadth. Her more recent foray into autonomous vehicle ethics (2021, 46 citations) reflects a thoughtful expansion into AI governance and moral decision-making frameworks. With a body of work accumulating nearly 400 citations, Lim has established herself as a vital voice shaping how robots perceive, communicate, and coexist with humans.
Research Focus
Key Achievements
Top Papers
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- 8A Recipe for Empathy27 citations · 2014
- 9Converting emotional voice to motion for robot telepresence25 citations · 2011
- 10Generating robotic emotional body language with variational autoencoders21 citations · 2019