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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 329 64

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

    Python 681 291

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

    Python 790 155

  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 264 91

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

    C++ 687 187

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

    C++ 296 138

50 contributions in the last year

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

Contribution activity

September 2022

4 contributions in private repositories Sep 4 – Sep 19

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