Stochastic Tensor Optimization for Robot Motion - A GPU Robot Motion Toolkit

Related tags

Deep Learningstorm
Overview

STORM

Stochastic Tensor Optimization for Robot Motion - A GPU Robot Motion Toolkit

[Install Instructions] [Paper] [Website]

This package contains code for reactive robot motion leveraging parallel compute on the GPU. The implemented control framework leverages MPPI to optimize over sampled actions and their costs. The costs are computed by rolling out the forward model from the current state with the sampled actions.

Most files are documented with sphinx. Once you clone this repo, go into docs folder and run sh generate_docs.sh to generate documentation.

Citation

If you use this source code, please cite the below article,

@article{storm2021,
  title={Fast Joint Space Model-Predictive Control for Reactive Manipulation},
  author={Mohak Bhardwaj and Balakumar Sundaralingam and Arsalan Mousavian and Nathan Ratliff and Dieter Fox and Fabio Ramos and Byron Boots},
  journal={arXiv preprint},
  year={2021}
}

Contributing to this code

Refer to CLA before making contributions.

Owner
NVIDIA Research Projects
NVIDIA Research Projects
Breast Cancer Classification Model is applied on a different dataset

Breast Cancer Classification Model is applied on a different dataset

1 Feb 04, 2022
Unofficial TensorFlow implementation of the Keyword Spotting Transformer model

Keyword Spotting Transformer This is the unofficial TensorFlow implementation of the Keyword Spotting Transformer model. This model is used to train o

Intelligent Machines Limited 8 May 11, 2022
PanopticBEV - Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images

Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images This r

63 Dec 16, 2022
Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

Aesara 898 Jan 07, 2023
A package, and script, to perform imaging transcriptomics on a neuroimaging scan.

Imaging Transcriptomics Imaging transcriptomics is a methodology that allows to identify patterns of correlation between gene expression and some prop

Alessio Giacomel 10 Dec 27, 2022
Mscp jamf - Build compliance in jamf

mscp_jamf Build compliance in Jamf. This will build the following xml pieces to

Bob Gendler 3 Jul 25, 2022
Rainbow DQN implementation that outperforms the paper's results on 40% of games using 20x less data 🌈

Rainbow 🌈 An implementation of Rainbow DQN which reaches a median HNS of 205.7 after only 10M frames (the original Rainbow from Hessel et al. 2017 re

Dominik Schmidt 31 Dec 21, 2022
Fuzzer for Linux Kernel Drivers

difuze: Fuzzer for Linux Kernel Drivers This repo contains all the sources (including setup scripts), you need to get difuze up and running. Tested on

seclab 344 Dec 27, 2022
This repository contains the PyTorch implementation of the paper STaCK: Sentence Ordering with Temporal Commonsense Knowledge appearing at EMNLP 2021.

STaCK: Sentence Ordering with Temporal Commonsense Knowledge This repository contains the pytorch implementation of the paper STaCK: Sentence Ordering

Deep Cognition and Language Research (DeCLaRe) Lab 23 Dec 16, 2022
PyTorch implementation of MSBG hearing loss model and MBSTOI intelligibility metric

PyTorch implementation of MSBG hearing loss model and MBSTOI intelligibility metric This repository contains the implementation of MSBG hearing loss m

BUT <a href=[email protected]"> 9 Nov 08, 2022
CountDown to New Year and shoot fireworks

CountDown and Shoot Fireworks About App This is an small application make you re

5 Dec 31, 2022
[CVPR2021] Look before you leap: learning landmark features for one-stage visual grounding.

LBYL-Net This repo implements paper Look Before You Leap: Learning Landmark Features For One-Stage Visual Grounding CVPR 2021. Getting Started Prerequ

SVIP Lab 45 Dec 12, 2022
Intel® Neural Compressor is an open-source Python library running on Intel CPUs and GPUs

Intel® Neural Compressor targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep l

Intel Corporation 846 Jan 04, 2023
Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features"

EDM-subgenre-classifier This repository contains the code for "Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Fea

11 Dec 20, 2022
Pytorch implementation of CoCon: A Self-Supervised Approach for Controlled Text Generation

COCON_ICLR2021 This is our Pytorch implementation of COCON. CoCon: A Self-Supervised Approach for Controlled Text Generation (ICLR 2021) Alvin Chan, Y

alvinchangw 79 Dec 18, 2022
A platform to display the carbon neutralization information for researchers, decision-makers, and other participants in the community.

Welcome to Carbon Insight Carbon Insight is a platform aiming to display the carbon neutralization roadmap for researchers, decision-makers, and other

Microsoft 14 Oct 24, 2022
🎓Automatically Update CV Papers Daily using Github Actions (Update at 12:00 UTC Every Day)

🎓Automatically Update CV Papers Daily using Github Actions (Update at 12:00 UTC Every Day)

Realcat 270 Jan 07, 2023
Object detection (YOLO) with pytorch, OpenCV and python

Real Time Object/Face Detection Using YOLO-v3 This project implements a real time object and face detection using YOLO algorithm. You only look once,

1 Aug 04, 2022
HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation

HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation Official PyTroch implementation of HPRNet. HPRNet: Hierarchical Point Regre

Nermin Samet 53 Dec 04, 2022
NAACL'2021: Factual Probing Is [MASK]: Learning vs. Learning to Recall

OptiPrompt This is the PyTorch implementation of the paper Factual Probing Is [MASK]: Learning vs. Learning to Recall. We propose OptiPrompt, a simple

Princeton Natural Language Processing 150 Dec 20, 2022