activity
20112023
most citedUnderstanding Neural Networks Through Deep Visualization

1.5k citations · 1.5k across the 8 of their papers we have counts for

collaborators
Showing cs.ROShow all

5 papers · 1 filter

cs.RO2023

DeepCollide: Scalable Data-Driven High DoF Configuration Space Modeling using Implicit Neural Representations

Gabriel Guo, Judah Goldfeder, Aniv Ray +2

Collision detection is essential to virtually all robotics applications. However, traditional geometric collision detection methods generally require pre-existing workspace geometr…

cs.RO2023

Direct Robot Configuration Space Construction using Convolutional Encoder-Decoders

Christopher Benka, Judah Goldfeder, Carl Gross +2

Intelligent robots must be able to perform safe and efficient motion planning in their environments. Central to modern motion planning is the configuration space. Configuration spa…

cs.RO20221 cited

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…

cs.RO20212 cited

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…

cs.RO2021

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…