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cliport

CLIPort: What and Where Pathways for Robotic Manipulation

digit-depth

Package for DIGIT tactile sensor

fast-rcnn

Fast R-CNN

grouph

ML project

i2dl_exercises

The exercises of Introduction to Deep Learning (SS2020) at TUM.

ierg5350_rl_course_project

IERG5350 Reinforcement Learning Course Project based on the Stanford AI lab's work on multimodal representation.

ml-in-crowd-m-s

multi-modal-manipulation

We use self-supervision to learn a compact and multimodal representation of our sensory inputs, which can then be used to improve the sample efficiency of our policy learning. We train a policy in PyBullet (on the a Kuka LBR iiwa robot arm) using PPO for peg-in-hole tasks.

ncf-policy

Downstream insertion tasks with NCF for tracking extrinsic contacts with tactile sensing

tactile_insertion_with_rl

tactilesimulation

[CoRL 2022] Efficient Tactile Simulation with Differentiability for Robotic Manipulation

tacto

Simulator of vision-based tactile sensors.