A discussion on ChatOps and the movement to deploy, measure, and mitigate from a chat client. With more and more teams implementing methods to trigger commands from within their favorite chat clients, the time it takes to perform specific and repetitive tasks has been dramatically reduced. In providing a real-time command history to others, we can share knowledge and learn from each other faster than ever before.
A discussion on ChatOps and the movement to deploy, measure, and mitigate from a chat client. With more and more teams implementing methods to trigger commands from within their favorite chat clients, the time it takes to perform specific and repetitive tasks has been dramatically reduced. In providing a real-time command history to others, we can share knowledge and learn from each other faster than ever before.
Join DevOps Evangelist, Jason Hand, for a discussion on ChatOps and the movement to deploy, measure, and mitigate from a chat client.
With more and more teams implementing methods to trigger commands from within their favorite chat clients, the time it takes to perform specific and repetitive tasks has been dramatically reduced. In providing a real-time command history to others, we can share knowledge and learn from each other faster than ever before.
ChatOps meetup: les humains parlent aux robotsOlivier Jacques
ChatOps: le lien entre les dévelopeurs, les opérations, le support et... Des systèmes.
Présentation durant le meetup DevOps Grenoble. http://www.meetup.com/Grenoble-DevOps-Meetup/
The teams and organizations that are leading the DevOps movement have turned to their chat client to provide a new interface. We are already in chat all day, sharing, collaborating, and conversing on what is taking place across all business units and projects. By moving tools and command line functionality into chat, we are able to create greater situational awareness and tribal knowledge.
In this presentation, the audience will learn about the basics of ChatOps, it’s origins, and how teams who have fully adopted the DevOps best practices are using it to deliver high quality software quickly, deploy infrastructure safely, and manage incidents more efficiently than ever before.
Jason Hand, DevOps Evangelist at VictorOps, and Michael Ansel, from Box, explain what ChatOps is, how it can help different teams in your organization, and where security comes into play. You'll learn tips to get started, tools needed and emerging best practices around the topic.
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.
4. Mark Zuckerberg said :
My personal challenge for 2016 is to build a simple
AI to run my home and help me with my work. You
can think of it kind of like Jarvis in Iron Man.