Investigator: Harold Soh. This work focuses on learning useful and robust deep world models using multiple, possibly unreliable, sensors. We find that current methods do not sufficiently encourage a shared representation …
Embodied AI
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Investigator: Terence Sim. Stress on the knee — caused by various factors including injuries, aging, and overweight — is a major contributor to orthopedic disorders such as knee osteoarthritis (OA), a …
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Investigator: Harold Soh. The principal aim of this project is to develop core techniques for learning models of other (human) agents: Artificial Theories of Mind and Body (AToM/B). We intend to …
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Investigator: Harold Soh The ability of humans to navigate our environment is heavily dependent on the quality and speed of sensing. Tactile sensing, or the sensation of touch and pressure, is …
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Investigator: Leong Tze Yun How can an AI agent focus attention in a complex, unknown environment for decision making? We investigate the use of context-sensitive transfer learning in hierarchical reinforcement learning. …