8 citations · 12 across the 9 of their papers we have counts for
9 papers
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…
Reconfigurable Robot Identification from Motion Data
Yuhang Hu, Yunzhe Wang, Ruibo Liu +2
Integrating Large Language Models (VLMs) and Vision-Language Models (VLMs) with robotic systems enables robots to process and understand complex natural language instructions and v…
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 2.0: Enhancing Object Organization with Self-supervised Graspability Estimation
Yuhang Hu, Zhizhuo Zhang, Hod Lipson
Building on recent advancements in transformer based approaches for domestic robots performing knolling, the art of organizing scattered items into neat arrangements. This paper in…
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…
On the Origins of Self-Modeling
Robert Kwiatkowski, Yuhang Hu, Boyuan Chen +1
Self-Modeling is the process by which an agent, such as an animal or machine, learns to create a predictive model of its own dynamics. Once captured, this self-model can then allow…
Egocentric Visual Self-Modeling for Autonomous Robot Dynamics Prediction and Adaptation
Yuhang Hu, Boyuan Chen, Hod Lipson
The ability of robots to model their own dynamics is key to autonomous planning and learning, as well as for autonomous damage detection and recovery. Traditionally, dynamic models…
Smile Like You Mean It: Driving Animatronic Robotic Face with Learned Models
Boyuan Chen, Yuhang Hu, Lianfeng Li +2
Ability to generate intelligent and generalizable facial expressions is essential for building human-like social robots. At present, progress in this field is hindered by the fact…
Visual Perspective Taking for Opponent Behavior Modeling
Boyuan Chen, Yuhang Hu, Robert Kwiatkowski +2
In order to engage in complex social interaction, humans learn at a young age to infer what others see and cannot see from a different point-of-view, and learn to predict others' p…