8 citations · 10 across the 7 of their papers we have counts for
11 papers
Eye, Robot: Learning Expressive Gaze Dynamics via a VLM-Guided Transformer-VAE
Yuhang Hu, Junlin Lyu, Yuan Fang +6
Gaze coordinates attention in human interaction through coupled eye, head, and eyelid motion. A humanoid robot must choose where to look while generating a suitable movement toward…
The Smart Buildings Challenge: Learning Foundation Models for Real-World Optimization at Scale
Judah Goldfeder, Ayush Rai, Philippe M. Wyder +11
Buildings cause nearly 40\% of carbon emissions in the US. Of total building emissions, HVAC systems are responsible for approximately 40-60\% and account for 15\% of global energy…
iCoder-27B: Recursive AI-Led Development of Frontier Industrial Coding Model
Cheng Yang, Jiayang Lyu, Shangyuan Liu +8
Recursive AI, the prospect of AI taking an increasingly complete role in building and improving AI, is a crown jewel of AI for AI. Although recursive self-development has become pr…
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…
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…
AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration
Jiong Lin, Lechen Zhang, Kwansoo Lee +3
Robot description models are essential for simulation and control, yet their creation often requires significant manual effort. To streamline this modeling process, we introduce Au…
Teaching Robots to Build Simulations of Themselves
Yuhang Hu, Jiong Lin, Hod Lipson
The emergence of vision catalysed a pivotal evolutionary advancement, enabling organisms not only to perceive but also to interact intelligently with their environment. This transf…
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…