August 2018 Archives

ROSCon 2017: Robotic Path Planning for Geometry-Constrained Processes -- Levi Armstrong (Southwest Research Institute)

By Tully Foote on August 24, 2018 12:42 PM

Looking foward to ROSCon 2018 we're highlighting presentations from last year.

Levi gives a brief introduction to the Noether package from ROS Industrial.

Video

Abstract

This proposal covers the development of a framework for the automated generation of efficient tool path plans from 3D geometry for industrial processes such as painting or sanding. The work is organized into three main software modules. The first module analyzes 3D data to extract features salient to the desired process. The second module works on these features to generate tool paths that optimally perform the process on individual features. The final module, sequence planning, determines the optimal ordering for processing the entire part.

Slides

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ROSCon 2017: Using Google Tango with ROS -- Perrine Aguiar and Ruben Smits (Intermodalics)

By Tully Foote on August 21, 2018 4:18 PM

Looking foward to ROSCon 2018 we're highlighting presentations from last year.

Ruben and Perrine present the Tango ROS Streamer which shows how to turn your Tango enabled device into a rich datasource for a ROS robot.

Video

Abstract

For developers who want to extend their robot with new sensors for indoor positioning and 3D perception, Intermodalics created the Tango ROS Streamer App. This Android app for Tango compatible devices provides real-time 3D pose estimates using Tango's visual-inertial odometry (VIO) algorithms, camera images and point clouds into the ROS ecosystem. The app is already freely available on the PlayStore and its code is fully open source..

Slides

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ROSCon 2017: ROS.NET Unity for Multiplatform applications -- Jordan Allspaw and Carlos J.R. Ibarra Lopez (University of Massachusetts Lowell)

By Tully Foote on August 16, 2018 3:29 PM

Looking foward to ROSCon 2018 we're highlighting presentations from last year.

Jordan Allspaw presents ROS.NET as a way to integrate with managed .NET applications to communicate with ROS.

Video

Abstract

We introduce ROS.NET, a series of C# projects that allow a managed .NET application to communicate with traditional ROS nodes, we then present a wrapper for it that allows Unity applications to integrate with ROS. Unity is a game design tool which can be used as a 3d rendering engine and a physics engine. We present two applications of combining ROS and Unity, one in the form of a ROS Virtual Reality engine, usable for robot visualization and control, and another in the form of a Project Tango device driver, which can also be used for visualization and control, and which we plan to augment for 3d scanning and reconstruction.

Slides

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ROSCon 2017: How ROS cares for Quality -- Yvonne Dittrich (IT University of Copenhagen) Gijs van der Hoorn (Delft University of Technology) Andrzej Wasowski (IT University of Copenhagen)

By Tully Foote on August 13, 2018 1:55 PM

Looking foward to ROSCon 2018 we're highlighting presentations from last year.

Adam Alami presents an analysis of how the ROS community maintains quality of the code as well as identifying areas to grow.

Video

Abstract

As part of the EU H2020 project ROSIN promoting the usage of ROS for industrial applications, we investigate how the ROS community takes care of quality. The goal is to understand quality problems and to address them. We will report our preliminary findings based on a.) analysis of bug reports in ROS packages and ROS based projects; b.) interviews with both junior and core members of the ROS community; and c.) analysis of the ROS wiki and other available resources.

Slides

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ROSCon 2017: How to accelerate application development using a cloud robotics platform -- Gajamohan Mohanarajah and Dhananjay Sathe (Rapyuta Robotics) Thomas Michael Bohnert (Zurich University of Applied Sciences/ZHAW)

By Tully Foote on August 9, 2018 11:29 AM

Looking foward to ROSCon 2018 we're highlighting presentations from last year. The ROSCon 2018 registration is currently open. Early registration ends August 11th!

Gajamohan presents on how Rapyuta has designed their platform Rapyuta.io to help accelerate robotic development.

Video

Abstract

In this presentation, attendees will gain practical knowledge on how to use a cloud robotics Platform-as-a-Service (Paas) to significantly accelerate robot application development. Specifically, attendees will learn step-by-step how a robot application can be developed, remotely deployed, monitored, and debugged using a cloud robotics PaaS. This will be followed by a detailed technical breakdown of the rapyuta.io's internals so attendees may understand the underlying architecture and design. Finally, a case study will compare a commercial robotics application deployment using Amazon's Infrastructure-as-a-Service to one using the rapyuta.io cloud robotics PaaS to show the benefits and limitations of each approach.

Slides

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ROSCon 2017: From simulation to the field: Learning to swim with the AQUA robot -- Juan Camilo Gamboa Higuera, David Paul Meger, and Gregory Dudek (McGill University)

By Tully Foote on August 6, 2018 5:16 PM

Looking foward to ROSCon 2018 we're highlighting presentations from last year. The ROSCon 2018 registration is currently open. Early registration ends August 11th!

Juan Camilo presents the tips tricks and hacks they have developed for using ROS on the underwater robot Aqua.

Video

Abstract

In this session we will share our experience and describe our approach to learning-based control. We do this for underwater (marine) environments where we want to approximate some of the hydrodynamic factors in 6 degrees of freedom. Our work addresses "learning to swim" via the automatic synthesis of swimming controllers for the AQUA platform: a six legged autonomous underwater vehicle. First, we will describe our approaches for simulating the underwater dynamics of the AQUA robot. This description includes our modelling choices and the integration into the Gazebo simulator. Second, we will describe the software interfaces we developed, based on the ROS framework, for testing learning algorithms in the simulation environment. Finally, we will show how ROS facilitated the use of our software on physical robots, and discuss the current research that our software has enabled.

Slides

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