Archive 31.07.2021

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r/Robotics showcase

The first Reddit Robotics Showcase will take place online this weekend (31st July – 1 August). Multitude of projects underway in the r/robotics reddit community will be showcased. There will be nearly 30 presentations from members of the r/robotics community, ranging from hobbyists, professionals, academics, industrial, students, etc. across four different categories: simulation, mobile robots, manipulation, and legged robots. The showcase will be livestreamed via the Reddit Robotics Showcase YouTube channel, and you will be able to pose questions to the participants.

Keynote Speakers

Saturday, 31st of July
Simulation: Brian Gerkey – Open Robotics – 10:00 EDT (15:00 BST, 23:00 JST)
Mobile Robots: Mark Emerton – UKRI – 14:00 EDT (19:00 BST, 03:00 JST)

Sunday, 1st of August
Manipulation: Rich Walker – Shadow Robot Company – 10:00 EDT (15:00 BST, 23:00 JST)
Legged Robots: Shamel Fahmi – Italian Institute of Technology – 14:00 EDT (19:00 BST, 03:00 JST)

For more information and the full programme, please visit the website.

A new taxonomy to characterize human grasp types in videos

Over the past few decades, roboticists and computer scientists have developed a variety of data-based techniques for teaching robots how to complete different tasks. To achieve satisfactory results, however, these techniques should be trained on reliable and large datasets, preferably labeled with information related to the task they are learning to complete.

#IROS2020 Plenary and Keynote talks focus series #1: Yukie Nagai & Danica Kragic

Would you like to stay up to date with the latest robotics & AI research from top roboticists? The IEEE/RSJ IROS2020 (International Conference on Intelligent Robots and Systems) recently released their Plenary and Keynote talks in the IEEE RAS YouTube channel. We’re starting a new focus series with all their talks. This week, we’re featuring Professor Yukie Nagai (University of Tokyo), talking about cognitive development in humans and robots, and Professor Danica Kragic (KTH Royal Institute of Technology), talking about the impact of robotics and AI in the fashion industry.

Prof. Yukie Nagai – Cognitive Development in Humans and Robots: New Insights into Intelligence

Abstract: Computational modeling of cognitive development has the potential to uncover the underlying mechanism of human intelligence as well as to design intelligent robots. We have been investigating whether a unified theory accounts for cognitive development and what computational framework embodies such a theory. This talk introduces a neuroscientific theory called predictive coding and shows how robots as well as humans acquire cognitive abilities using predictive processing neural networks. A key idea is that the brain works as a predictive machine; that is, the brain tries to minimize prediction errors by updating the internal model and/or by acting on the environment. Our robot experiments demonstrate that the process of minimizing prediction errors leads to continuous development from non-social to social cognitive abilities. Internal models acquired through their own sensorimotor experiences enable robots to interact with others by inferring their internal state. Our experiments inducing atypicality in predictive processing also explains why and how developmental disorders appear in social cognition. I discuss new insights into human and robot intelligence obtained from these studies.

Bio: Yukie Nagai is a Project Professor at the International Research Center for Neurointelligence, the University of Tokyo. She received her Ph.D. in Engineering from Osaka University in 2004 and worked at the National Institute of Information and Communications Technology, Bielefeld University, and Osaka University. Since 2019, she leads Cognitive Developmental Robotics Lab at the University of Tokyo. Her research interests include cognitive developmental robotics, computational neuroscience, and assistive technologies for developmental disorders. Her research achievements have been widely reported in the media as novel techniques to understand and support human development. She also serves as the research director of JST CREST Cognitive Mirroring.

Prof. Danica Kragic – Robotics and Artificial Intelligence Impacts on the Fashion Industry

Abstract: This talk will overview how robotics and artificial intelligence can impact fashion industry. What can we do to make fashion industry more sustainable and what are the most difficult parts in this industry to automate? Concrete examples of research problems in terms of perception, manipulation of deformable materials and planning will be discussed in this context.

Bio: Danica Kragic is a Professor at the School of Computer Science and Communication at the Royal Institute of Technology, KTH. She received MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia in 1995 and PhD in Computer Science from KTH in 2001. She has been a visiting researcher at Columbia University, Johns Hopkins University and INRIA Rennes. She is the Director of the Centre for Autonomous Systems. Danica received the 2007 IEEE Robotics and Automation Society Early Academic Career Award. She is a member of the Royal Swedish Academy of Sciences, Royal Swedish Academy of Engineering Sciences and Young Academy of Sweden. She holds a Honorary Doctorate from the Lappeenranta University of Technology. Her research is in the area of robotics, computer vision and machine learning. She received ERC Starting and Advanced Grant. Her research is supported by the EU, Knut and Alice Wallenberg Foundation, Swedish Foundation for Strategic Research and Swedish Research Council. She is an IEEE Fellow.

Milvus Robotics – Moving the World Forward with Material Handling

Enhance your material transport capabilities – even in the busiest warehouse or production environments – with SEIT robots. Made by Milvus Robotics, these reliable and safe AMRs efficiently move materials with no human intervention required. They work seamlessly alongside people, forklifts, and other equipment. Requiring no infrastructure, SEIT robots are suitable for a range of manufacturing environments, distribution centers and more.

New robot aims to make high-rise window and façade services faster and safer

A new robotic window and building façade cleaner currently being developed has the potential to be three times faster, safer, and more efficient than current methods, according to its co-inventors. SFU postdoctoral researcher Hossein Kamali and co-founder Mohammad Dabiri hope their robotic window cleaner will increase efficiency and eliminate risk of injuries and fatalities that come with traditional high-rise window cleaning—which has been carried out the same way for decades.

Improving Image Stabilization with Hexapod 6-Axis Motion Simulators for More Reliable Image Capturing

Taking sharp pictures despite fast changing lighting and ambient conditions, recognizing traffic signs or road markings in driver assistance systems, or identifying dangerous situations in surveillance systems – all of this is possible today with the help of modern cameras.
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