8 papers
Continuum Robot Modeling with Action Conditioned Flow Matching
Jiong Lin, Jinchen Ruan, Hod Lipson
Predicting the shape of tendon driven continuum robots (TDCRs) at steady state from actuation remains challenging due to continuous deformation, complex tendon routing, compliance,…
From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning
Beining Wu, Fuyou Mao, Jiong Lin +7
Generative engines (GEs) are reshaping information access by replacing ranked links with citation-grounded answers, yet current Generative Engine Optimization (GEO) methods optimiz…
Beyond Cropping and Rotation: Automated Evolution of Powerful Task-Specific Augmentations with Generative Models
Judah Goldfeder, Shreyes Kaliyur, Vaibhav Sourirajan +5
Data augmentation has long been a cornerstone for reducing overfitting in vision models, with methods like AutoAugment automating the design of task-specific augmentations. Recent…
ArticFlow: Generative Simulation of Articulated Mechanisms
Jiong Lin, Jinchen Ruan, Hod Lipson
Recent advances in generative models have produced strong results for static 3D shapes, whereas articulated 3D generation remains challenging due to action-dependent deformations a…
Knolling Bot: Teaching Robots the Human Notion of Tidiness
Yuhang Hu, Judah Goldfeder, Zhizhuo Zhang +5
For robots to truly collaborate and assist humans, they must understand not only logic and instructions, but also the subtle emotions, aesthetics, and feelings that define our huma…
Creative synthesis of kinematic mechanisms
Jiong Lin, Jialong Ning, Judah Goldfeder +1
In this paper, we formulate the problem of kinematic synthesis for planar linkages as a cross-domain image generation task. We develop a planar linkages dataset using RGB image rep…