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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 175 23

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

    Python 532 238

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

    Python 498 103

  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 232 83

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

    C++ 591 175

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

    C++ 280 135

33 contributions in the last year

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

Contribution activity

May 2021

1 contribution in private repositories May 3