What's next for ROS?
CEO and Co-founder, Open Robotics
ROS development began in November 2007 and the first usable distribution, v0.4 (Mango Tango), was released in February 2009. Now it's ten years later and we have come a long way. In this talk I'll present the view from Open Robotics on what lies ahead. We are hard at work on ROS 2, now with the support of companies large and small, and we are expecting to see wide adoption of ROS 2 in key markets, from factories to cars to homes.
Brian Gerkey is co-founder and CEO of Open Robotics, which drives the development and adoption of open software and hardware for robotics.
Prior to Open Robotics, Brian was a postdoctoral research fellow in the AI Lab at Stanford, a Computer Scientist in the AI Center at SRI, and Director of Open Source Development at Willow Garage. Brian is a strong believer in, frequent contributor to, and constant beneficiary of open source software. Brian has worked on the ROS Project since 2008, contributing to the development and release of one of the most widely used robot software platforms in robotics research, education, and industry. He is founding and former lead developer on the massively popular, open-source Player Project, a predecessor to ROS.
For his work on Player and ROS, Brian was recognized by MIT Technology Review with the TR35 award in 2011 and by Silicon Valley Business Journal with their 40 Under 40 award in 2016
Cyclone: a DDS for the age of ROS2
Eclipse Cyclone DDS is the latest addition to the family of DDS implementations. In keeping with the spirit of the times it is a true open-source implementation, developed under the auspices of the Eclipse Foundation and with a license allowing it to be used everywhere.
It is quite mature for its age, thanks to the re-use of parts of OpenSplice DDS, but still with the nimbleness of the young. This, combined with having few dependencies and being written in C, allows us to tackle the challenge of providing a full DDS implementation that outperforms the other implementations in a wide range of use cases.
This is important for ROS2. Firstly, the trend is to slowly include more features from DDS and the benefits of having a full DDS implementation underneath will therefore increase over time. Secondly, the domain of robotics necessarily is one of embedded real-time computing where a very performant implementation is a must. And last but not least: the stewardship of the Eclipse Foundation guarantees open development with a source base free of any IP issues. Together, these make Cyclone a natural candidate for becoming the default implementation DDS for ROS2.
Erik Boasson is a member of the Technology Office of ADLINK Technology. His focus is on DDS, its applications and future developments, and currently his efforts are mostly towards developing Cyclone DDS. He has more than two decades of experience in the field, starting at the source of data-centric programming model at Hollandse Signaalapparaten BV in the ’90s. His implementation of the SPLICE architecture there has proven itself in several contexts, including as a tool to convince the US DoD to mandate data-centric systems.
Cageless Cobots: The new wave in Robotics
Dr. Giby Raphael
Supply Chain and Manufacturing Optimization Segment
Intel Internet of Things Group
Robotics will drive the fourth Industrial revolution! Through artificial intelligence, specialized compute and functional safety, Intel is enabling the next wave in Robotics; free moving, vision based self-learning robots that can work safely alongside humans. In this session, the audience will learn more about the use cases, industry trends and innovations in Robotics, through Intel’s lens.
Giby is the Director of Supply Chain and Manufacturing Optimization Segment focusing on Logistics and Robotics in Intel’s Internet of Things Group. Giby received his PhD in Robotics, MS in Electrical Engineering, Computer Science and Neuroscience and MBA in General Management from Cornell University. He has published many papers in humanoid robotics and has more than a decade of experience in building AI based products.
Exemplary ROS2 Best Practices –AI Based Image Caption and Semantic Mapping for Intelligent Service Robotics
Prof. Dr.-Ing. Ren C. Luo
National Taiwan University
Editor-in Chief, IEEE Transactions on Industrial Electronics
Intelligent Service Robots have been recognized as a newly huge global market and business opportunities, such as elder and impaired personal care, household chores, public services, manufacturing automation etc. Image caption generation is a task that generates a sentence from a raw image, which is mimicking the intelligence of human that can acquire knowledge from the view. In this talk, ROS 2.0 based intelligent robot with image caption, semantic and topological mapping and navigation capabilities will be presented. Furthermore, video clips which demonstrate the real scene implementation results will also be included
Dr. Ren C. Luo received the Dipl.-Ing. and Dr.-Ing Degrees in Electrical Engineering from the Technische Universitaet Berlin, Germany. He is currently served as Chair and Distinguished Professor at National Taiwan University; Editor-in-Chief of IEEE Transactions on Industrial Informatics, and Founding President of Robotics Society of Taiwan. He also served two-terms as President and Dean of Engineering at National Chung Cheng University in Taiwan. He a Tenured Full Professor of Department of ECE at North Carolina State U, Raleigh, USA and Toshiba Chair Professor at the U. of Tokyo, Japan. His research interests include intelligent robotic systems, multi-sensor fusion and integration,3D Printing Manufacturing. He has authored more than 500 papers on international refereed Transactions/Journals and refereed international conferences and 25 international patents on these topics. Dr. Luo received IEEE Eugean Mittlemann Outstanding Research Achievement Award; ALCOA Company Foundation Outstanding Engineering Research Award, USA; Outstanding Research Awards from Ministry of Science and Technology; Dr. Luo served as Editor-in-Chief of IEEE/ASME Transactions on Mechatronics and Co-Editor-in-Chief of IEEE Transactions on Industrial Electronics. He served as President of IEEE Industrial Electronics Society. He also served as Adviser of Ministry of Economic Affairs and Science &Technical Adviser of Prime Minister's Office in Taiwan. Dr. Luo is a Fellow of IEEE and a Fellow of IET.
Platformed Verticals, Polarized Offerings: Rethinking Robotics and Automation in 2020
ROS-Industrial Consortium Europe
A new technological context, diversified points of sales, and sunsetting legacies. Intertwined factors which are both cause and effect of the shifts undergoing in robotics and automation, of which open-source platforms are the visible -but not the only- distinctive trait. How to surf this wave rather than being submerged by it? The talk will offer some thoughts both on technical aspects and on the general outlook for stakeholders in the field.
Dr. Mirko Bordignon leads the Software Engineering and System Integration Group within the Robotics Department of Fraunhofer IPA in Stuttgart, Germany.
He believes that breaking vertically integrated solutions through platforms built on open hardware and software stacks will be key to unlock the full potential of robotics and automation. An academic turned software practitioner and then engineering manager, he aims to advance the automation business by leveraging modern software development tools and practices in the traditionally hardware-focused automation business. He hold degrees from the University of Padova, Italy, and the University of Southern Denmark, and held visiting positions at Orebro University, Sweden, and Harvard University, USA.
ADLINK’s Commercial ROS Solutions
Dr. Ryan Chen
In this session, ADLINK will share new ROS-related products for ROS development teams/companies. These new products are very novel in this market and provide a turnkey solution to customers with guarantee of reliability, support service, and efficiency. With such ADLINK’s offering, customers are able to reduce time to market while increasing the competitiveness of their robots. Please have a high expectation in this session.
Ryan received from his Ph.D. from Nation Taiwan University with his interest in the topics wireless sensor networks, data science, machine learning, and communication protocols/middleware. After he graduated, he joined MOXA as a software engineer and product manage. Now, he’s the director of advanced robotic platform group (ARPG) of ADLINK for robotics business. Meanwhile, he also leads a sales team that’s in charge of the business of DDS (data distribution service) in Asia.
ROS for Windows
Dr. Joe Lin
IoT Solution Architects
People have always been fascinated by robots. Today advanced robots are changing our lives, both at work and at home. Warehouse robots have enabled next-day deliveries to online shoppers, and many pet owners rely on robotic vacuums to keep their floors clean. Industries as diverse as manufacturing, transportation, healthcare, and real estate are seeing benefits from robots. As robots have advanced, so have the development tools. Many developers leverage the Robot Operating System (ROS), a set of libraries and tools which help you build complex robots. ROS is used in many cutting-edge robotic projects around the world.
Windows has been a trusted part of robotic and industrial systems for decades. With ROS for Windows, developers will be able to use the familiar Visual Studio toolset along with rich AI and cloud features. We’re looking forward to bringing the intelligent edge to robotics by exposing advanced features like hardware accelerated Windows Machine Learning, computer vision, Azure Cognitive Services, Azure IoT cloud services, and other Microsoft technologies to home, education, commercial, and industrial robots. Manufacturers want to make robots more aware of their surroundings, easier to program and safer to be around. Governments, manufacturers, and academics around the world are investing in the next generation of manufacturing, sometimes referred to as “Industry 4.0”.
Dr. Lin leads a team of talented IoT and cloud solution architects in Greater China Region for Microsoft. He accelerates developing of repeatable vertical IoT and cloud solutions with IoT Device and OEM partners. The team focuses on verticals including manufacture, retails, building/campus, energy, healthcare, and security. His expertise includes large cloud architecture, IoT device engineering, data mining, AI modelling, and media streaming. Prior Microsoft, Dr. Lin was in various technical and business leader roles for global and startup companies including Quanta Computer, Streaming21, and Apple.
Dr. Lin is holder of 6 US patents and authors of 30+ journal and conference papers. He received his doctor degree of computer engineering from University of Minnesota, MBA degree from National Taiwan University, and bachelor degree of computer science from National Chiao Tung University, Taiwan.
Enabling ITRI Robotics using ROS
Dr. Nelson Yen-Chung Chang
Manager and Deputy Division Director
Service Robot Department
Industrial Technology Research Institute
ITRI Robotics adopted ROS for mobile robots 3 years ago. After adopting ROS as the primary software frame work for their mobiel robots, ITRI Robotics were able to develop mobile robots at a much more efficient way. Research and development now focus more on application related technologies instead of basic infrastructure.
In hope to encourage more people in robotics to adopt ROS, this talk will breifly share ITRI Robotics' experience on adopting ROS and ROS 2.
Nelson Chang is currently with Industrial Technology Research Institute (ITRI). He's a deputy division director of Intelligent Robotics Technology Division and is also the manager of Service Robot Department. Nelson Chang receives his bachelor degree in electrical engineering from National Tsing-Hua University in 2000. Later he received master and Ph.D. degrees in electronics engineering from National Chiao Tung University in 2002 and 2009 respectively. Nelson Chang joined INTRI in 2008 and started working on vision processing VLSI circuit design. He later turned his research focus to robotics 3D vision and simulation. His early research involves vision-based SLAM algorithms and implementations. He directed the development of the first random bin picking robot system in Taiwan. His current ongoing research relates to mobile robot's mapping, localization, and navigation.
Building intelligent robotics applications in minutes with AWS RoboMaker
Sr. Specialist Solutions Architect, Robotics
Amazon Web Services
Building intelligent robotics applications has never been easier. In this session, we will dive deep into how AWS customers are developing, testing, and deploying intelligent robotics applications at scale with AWS RoboMaker. We will discuss how to use AWS RoboMaker to easily provision development environments, run simulations at scale, manage remote applications on production robot fleets and extend ROS applications with connectivity to cloud services such as AWS machine learning services, monitoring services, and analytics services that enable a robot to stream data, navigate, communicate, comprehend, and learn. Come and see how AWS RoboMaker removes the heavy lifting from each step of robotics development so you can focus on creating innovative robotics applications.
Jeremy Wallace is a Sr. Specialist Solutions Architect for the AWS RoboMaker team. Working with key IoT and robotics customers in North America, Jeremy has helped hundreds of companies across many verticals unlock a faster pace of innovation with cloud computing. He is also an active contributor to open source code on awslabs and a co-host of the popular robotics-themed Twitch show 'AWS Maker Studio'. Jeremy holds a Masters in Software Systems from the University of British Columbia in Vancouver, Canada.
Driving the Next Wave of Robotics Through AI
Murali M Gopalakrishna
Head of Product Management, Intelligent Machines
Artificial intelligence is the most powerful technology of our time. For robotics, AI enables new levels of autonomy. It gives machines the ability to perceive and navigate the world as well as seamlessly interact with people and handle objects. Applications include manufacturing robots that can work safely alongside humans, logistics robots that can manage inventory and support retail operations, and last mile delivery robots that bring food and products on demand.
In this talk, we’ll discuss how AI is critical to driving robotics breakthroughs and highlight partner success stories across different industries. Our goal is to equip today’s brilliant minds with the tools to build the world’s greatest machines.
Murali M Gopalakrishna heads up product management for autonomous machines at NVIDIA. He also leads the business development team that focuses on robots, drones, industrial IoT and enterprise collaboration products. Before joining NVIDIA in 2016, Gopalakrishna was the global head of platform and technology strategy, leading the CTO’s office at Sony Mobile Communications. He was responsible for products ranging from phones, tablets and wearables to IoT platforms. Gopalakrishna holds a Bachelor of Engineering from the National Institute of Engineering in India.