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  1. Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

    Python 205 43

  2. Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

    Python 572 251

  3. Python code to fuse multiple RGB-D images into a TSDF voxel volume.

    Python 545 115

  4. MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

    Lua 240 86

  5. 3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

    C++ 609 179

  6. MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

    C++ 281 137

23 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Mon Wed Fri

Contribution activity

August 2021

andyzeng has no activity yet for this period.

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