A modular high-level library to train embodied AI agents across a variety of tasks and environments.

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Deep Reinforcement Learning for Robotic Grasping from Octrees

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.

Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.

UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim

Computational Endoscopy Platform (advanced deep learning toolset for analyzing endoscopy videos) [MICCAI'22, MICCAI'21, ISBI'21, CVPR'20]

DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation, CoRL 2022

reinforcement learning from randomized simulations

Dofbot Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim

[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph -- Sim2real code on Turtlebot2i

PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)

The official repository for the paper: Scalable learning for bridging the species gap in image-based plant phenotyping.

Official implementation of Neural Lithography (SIGGRAPH Asia 2023)

SkyScenes: A Synthetic Dataset for Aerial Scene Understanding

CabiNet: Scaling Object Rearrangement in Clutter

Simulation and robot code for contact-rich household object insertion (ICRA 2023).

The Official Code for Cross-Modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning (NeurIPS'21))

API for the BenchBot software stack: https://github.com/qcr/benchbot