VLA-Touch: Enhancing Vision-Language-Action Models with Dual-Level Tactile Feedback
We present VLA-Touch, a framework for VLA models with dual-level tactile feedback for contact-rich manipulation.
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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.