Soo Ling Lim

About

Dr. Soo Ling Lim is a pioneering researcher whose work bridges human-centered robotics, artificial life, and computational social science. Her most influential contribution, the 2011 study on social robots for elderly wellbeing (77 citations), established foundational insights into how autonomous systems can support aging populations—a critical area as societies worldwide face demographic shifts. More recently, Dr. Lim has advanced the safety and practicality of autonomous systems, developing variational autoencoder methods to create valid search spaces for last-mile delivery robots (2023, 10 citations), directly addressing the real-world challenge of human-supervised autonomy. She also champions the use of evolutionary ecosystem simulations as ethical tools for modeling human cognition and behavior (2022, 6 citations), and has curated a special issue on agent-based modeling for human behavior (2023, 2 citations). Through this diverse body of work—spanning elderly care robotics, safe autonomous navigation, and computational models of complex social systems—Dr. Lim demonstrates a consistent commitment to developing AI that is both technically robust and socially beneficial, making her a vital voice in the responsible advancement of autonomous technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   Investigating the Suitability of Social Robots for the Wellbeing of the Elderly

   77 citations · 2011
2. 2
   Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery

   10 citations · 2023
3. 3
   From evolutionary ecosystem simulations to computational models of human behavior

   6 citations · 2022
4. 4
   The “Agent-Based Modeling for Human Behavior” Special Issue

   2 citations · 2023

Key Collaborators

Contact & Links