icra2018

This is a python package for testing controls for black box system in simulators.

Fast Image-Based Geometric Change Detection Given a 3D Model.

Black-Box Data-efficient Policy Search for Robotics.

Attending to objects for robot learning.

Cooperative object transport using multiple quadrotors without communication.

Gradient-Informed Path Smoothing for Wheeled Mobile Robots (GRIPS)

Generative Adversarial Synthesis from Language to Action.

Fast, Uncertainty-Aware Proximity Queries with Lazy Search of Local 3D Data.

Convolutional neural networks for LiDAR point clout segmentation.

Monocular multi-object tracking using simple and complementary 3D and 2D cues.

Optimized ray cast methods for 2D occupancy grids.

Cutting most types of maps in smaller more meaningful bits.

TrafficWeavingCVAE

Sparse Gaussian Processes for SLAM.

Symbolic Regression for Reinforcement Learning.

An approach to automatically localize and find the shapes of tumors and other stiff inclusions.

Using GANs to correct color distortion in underwater images.

Buzz source code and ARGoS simulations.

Spatial verification using Local Geometric Support.

Learning Sampling Distributions for Robot Motion Planning.

A Robust and Versatile Monocular Visual-Inertial State Estimator

Training procedure for ICRA 2018 paper https://arxiv.org/abs/1709.08685.

Visualization method for convolutional neural networks.

Correlation Flow: Robust Optical Flow using Kernel Cross-Correlators