activity
20242026
collaborators

8 papers

cs.LG2026

Action Learning for Scientific Simulations

Sarah Liaw, Yuanqi Du, Yilun Du

Understanding and controlling how systems evolve is central to science and engineering, where many problems require reasoning about complete trajectories. Existing approaches typic…

cs.RO2026

Trajectory Planning without Trajectory Data: A Manifold-Guided Approach

Silong Yong, Anji Liu, Cunxi Dai +5

A common way for trajectory planning is to leverage generative models trained on large collections of expert trajectories. At inference time, the model generates executable traject…

cs.CV2026

Long-Text-to-Image Generation via Compositional Prompt Decomposition

Jen-Yuan Huang, Tong Lin, Yilun Du

While modern text-to-image (T2I) models excel at generating images from intricate prompts, they struggle to capture the key details when the inputs are descriptive paragraphs. This…

cs.RO2026

Update-Free On-Policy Steering via Verifiers

Maria Attarian, Ian Vyse, Jasper Gerigk +7

In recent years, Behavior Cloning (BC) has become one of the most prevalent methods for learning manipulation from human demonstrations. Despite their successes, BC policies are of…

cs.RO2025

Rapid and Safe Trajectory Planning over Diverse Scenes through Diffusion Composition

Wule Mao, Zhouheng Li, Yunhao Luo +2

Achieving safe, efficient, and kinematically feasible planning in dynamic environments remains a significant challenge, as planners must simultaneously handle moving obstacles, sen…

cs.RO2025

Generative Trajectory Stitching through Diffusion Composition

Yunhao Luo, Utkarsh A. Mishra, Yilun Du +1

Effective trajectory stitching for long-horizon planning is a significant challenge in robotic decision-making. While diffusion models have shown promise in planning, they are limi…

cs.RO2024

Grounding Video Models to Actions through Goal Conditioned Exploration

Yunhao Luo, Yilun Du

Large video models, pretrained on massive amounts of Internet video, provide a rich source of physical knowledge about the dynamics and motions of objects and tasks. However, video…

cs.RO2024

Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints

Julia Briden, Yilun Du, Enrico M. Zucchelli +1

This work introduces TrajDiffuser, a compositional diffusion-based flexible and concurrent trajectory generator for 6 degrees of freedom powered descent guidance. TrajDiffuser is a…