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Central Wiki for Large-Scale and Efficient Bin-Picking

This project aims to render a work like QT-Opt sample efficient by using invariance and equivariance principles like those in ITER with a large set of diverse and complex objects.

Software and Hardware

• Modelling: Solidworks
• Simulator: Mujoco 2.0
• Toolsuite: Robosuite.ai
• Code-base: Robosuite-Benchmarks built on top of rlkit
• Object Detection and Tracking: TBD
• Graph Lib: Deep Graph Lib
• Robot:
  • Model: Panda
  • ROS: ROS-panda
  • FCI: Franka Control Interface

Core Research Papers

• Large-Scale Bin-Pikcing

  • QT-Opt [Project Page] [Paper] [Model Code]
  • Quantile QT-OPT: [Project]
  • Never Stop Learning: [Project Page] [Vid1 Vid2] [Paper]

• Invariance

  • ITER: [Project] Video Paper Code
  • Meta-Learning Symmetries: [Paper] [Code]