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icra-2019's Projects

anynet icon anynet

(ICRA) Anytime Stereo Image Depth Estimation on Mobile Devices

barc icon barc

Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone.

bonnet icon bonnet

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

caesar.jl icon caesar.jl

Robust robotic localization and mapping for all, together with www.NavAbility.io

classification_based_reachability icon classification_based_reachability

Vicenç Rubies Royo, David Fridovich-Keil, Sylvia Herbert, and Claire J. Tomlin, "Classification-based Approximate Reachability with Guarantees Applied to Safe Trajectory Tracking." IEEE International Conference on Intelligent Robots, 2019

crowdnav icon crowdnav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

deepmatchvo icon deepmatchvo

Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

densesurfelmapping icon densesurfelmapping

This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"

dgn-pytorch icon dgn-pytorch

Code for the ICRA 2019 paper: Depth Generation Network (DGN): Estimating Real World Depth from Stereo and Depth Images.(https://ieeexplore.ieee.org/document/8794315)

diver_detection icon diver_detection

implementation of diver identification paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8794290

emptycities icon emptycities

Implementation for learning a mapping from images that contain dynamic objects in a city environment to static realistic images

exstream icon exstream

PyTorch implementation of the ExStream method from our ICRA-2019 paper "Memory Efficient Experience Replay for Streaming Learning"

flappy icon flappy

An open source dynamic simulation for flapping wing robots and animals

gem icon gem

Gait-phase Estimation Module

general_poe2dh icon general_poe2dh

Liao Wu, Ross Crawford, Jonathan Roberts. Geometric interpretation of the general POE model for a serial-link robot via conversion into D-H parameterization. In: Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2019). Montreal, Canada, 2019: 1-6.

gerona icon gerona

GeRoNa (Generic Robot Navigation) is a modular robot navigation framework, that bundles path planning and path following (including obstacle detection) and manages communication between the individual modules. It is designed to be easily extensible for new tasks and robot models.

gpismap icon gpismap

Online Continuous Mapping using Gaussian Process Implicit Surfaces (GPIS)

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