Search Results for author: Aaron Walsman

Found 7 papers, 4 papers with code

Break and Make: Interactive Structural Understanding Using LEGO Bricks

2 code implementations27 Jul 2022 Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox

We pair this simulator with a new dataset of fan-made LEGO creations that have been uploaded to the internet in order to provide complex scenes containing over a thousand unique brick shapes.

Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity

1 code implementation28 Sep 2020 William Agnew, Christopher Xie, Aaron Walsman, Octavian Murad, Caelen Wang, Pedro Domingos, Siddhartha Srinivasa

By using these priors over the physical properties of objects, our system improves reconstruction quality not just by standard visual metrics, but also performance of model-based control on a variety of robotics manipulation tasks in challenging, cluttered environments.

3D Object Reconstruction 3D Reconstruction

FLUID: A Unified Evaluation Framework for Flexible Sequential Data

1 code implementation6 Jul 2020 Matthew Wallingford, Aditya Kusupati, Keivan Alizadeh-Vahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi

To foster research towards the goal of general ML methods, we introduce a new unified evaluation framework - FLUID (Flexible Sequential Data).

Continual Learning Representation Learning +1

Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks

no code implementations5 Aug 2019 Weilin Wan, Aaron Walsman, Dieter Fox

While recent work has shown direct estimation techniques can be quite powerful, geometric tracking methods using point clouds can provide a very high level of 3D accuracy which is necessary for many robotic applications.

Data Augmentation Pose Estimation

Early Fusion for Goal Directed Robotic Vision

no code implementations21 Nov 2018 Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox

Building perceptual systems for robotics which perform well under tight computational budgets requires novel architectures which rethink the traditional computer vision pipeline.

Imitation Learning

CHALET: Cornell House Agent Learning Environment

2 code implementations23 Jan 2018 Claudia Yan, Dipendra Misra, Andrew Bennnett, Aaron Walsman, Yonatan Bisk, Yoav Artzi

We present CHALET, a 3D house simulator with support for navigation and manipulation.

Dynamic High Resolution Deformable Articulated Tracking

no code implementations21 Nov 2017 Aaron Walsman, Weilin Wan, Tanner Schmidt, Dieter Fox

The last several years have seen significant progress in using depth cameras for tracking articulated objects such as human bodies, hands, and robotic manipulators.

Pose Estimation

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