12 citations · 26 across the 6 of their papers we have counts for
8 papers
HomeGuard: VLM-based Embodied Safeguard for Identifying Contextual Risk in Household Task
Xiaoya Lu, Yijin Zhou, Zeren Chen +6
Vision-Language Models (VLMs) empower embodied agents to execute complex instructions, yet they remain vulnerable to contextual safety risks where benign commands become hazardous…
Synchronize Dual Hands for Physics-Based Dexterous Guitar Playing
Pei Xu, Ruocheng Wang
We present a novel approach to synthesize dexterous motions for physically simulated hands in tasks that require coordination between the control of two hands with high temporal pr…
One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting
Albert Wu, Ruocheng Wang, Sirui Chen +2
Extrinsic manipulation, the use of environment contacts to achieve manipulation objectives, enables strategies that are otherwise impossible with a parallel jaw gripper. However, o…
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang, Eric Zelikman, Gabriel Poesia +3
Inductive reasoning is a core problem-solving capacity: humans can identify underlying principles from a few examples, which robustly generalize to novel scenarios. Recent work eva…
IKEA-Manual: Seeing Shape Assembly Step by Step
Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao +3
Human-designed visual manuals are crucial components in shape assembly activities. They provide step-by-step guidance on how we should move and connect different parts in a conveni…
Translating a Visual LEGO Manual to a Machine-Executable Plan
Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao +2
We study the problem of translating an image-based, step-by-step assembly manual created by human designers into machine-interpretable instructions. We formulate this problem as a…
Language-Mediated, Object-Centric Representation Learning
Ruocheng Wang, Jiayuan Mao, Samuel J. Gershman +1
We present Language-mediated, Object-centric Representation Learning (LORL), a paradigm for learning disentangled, object-centric scene representations from vision and language. LO…
On the Relative Expressiveness of Bayesian and Neural Networks
Arthur Choi, Ruocheng Wang, Adnan Darwiche
A neural network computes a function. A central property of neural networks is that they are "universal approximators:" for a given continuous function, there exists a neural netwo…