16 citations · 16 across the 4 of their papers we have counts for
4 papers
Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction
Seonsoo Kim, Seongil Hong, Jun-Gill Kang
We propose Diffusion ReRoll, a diffusion-based framework for robotic sequential prediction that enables revisable denoising over horizons. Existing diffusion-based sequence predict…
Disentangled Multi-Context Meta-Learning: Unlocking robust and Generalized Task Learning
Seonsoo Kim, Jun-Gill Kang, Taehong Kim +1
In meta-learning and its downstream tasks, many methods rely on implicit adaptation to task variations, where multiple factors are mixed together in a single entangled representati…
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics
Taekyung Kim, Jungwi Mun, Junwon Seo +2
In recent years, learning-based control in robotics has gained significant attention due to its capability to address complex tasks in real-world environments. With the advances in…
TOAST: Trajectory Optimization and Simultaneous Tracking using Shared Neural Network Dynamics
Taekyung Kim, Hojin Lee, Seongil Hong +1
Neural networks have been increasingly employed in Model Predictive Controller (MPC) to control nonlinear dynamic systems. However, MPC still poses a problem that an achievable upd…