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Tas wins CS Best PhD Thesis Award

Congratulations to Tasbolat Taunyazov for winning the NUS School of Computing Best PhD Thesis Award in CS! The prize is awarded to “the most outstanding PhD ...

ICRA'25 Keynote

Harold gave a keynote at ICRA’25 on a foundation model for agents in embodied AI systems. Check it out below or on youtube: https://youtu.be/NCkwz0dBmO4?si=R...

Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks

DOPPLER is a new framework that combines diffusion models and hierarchical reinforcement learning to let robots plan and replan complex, long-horizon tasks from offline data with robustness in the real world.

Know When to Abstain: Optimal Selective Classification with Likelihood Ratios

We propose optimal likelihood ratio-based selective classification methods based on the Neyman-Pearson lemma and evaluate them under vision and language covariate shifts tasks.

Introducing Dr. Kaiqi Chen!

Kaiqi Chen successfully defended his thesis and is now Dr. Chen. Congratulations Kaiqi!

KOAP: Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers

We introduce KOAP for imitation learning with limited actions.

SocRATES: Towards Automated Scenario-based Testing of Social Navigation Algorithms

We design an LLM-driven social-scenario simulation pipeline (SocRATES) to enable more holistic evaluation of social navigation algorithms. SocRATES generates context- and location-appropriate scenarios from simple text and image-based inputs, thus reducing the labor-intensive task of scenario proposal and synthesis that is typically required for scenario-based testing.