46 episodi

Robots in Depth (RID) is an interview series with everyone in robotics, from top entrepreneurs, investors and corporate leaders to researchers, political policy makers and domain experts.
The episodes are 30-60 minutes long, and a new episode is published each week.

The format of RID is that of a talk show with one host and one interviewee, both in the same space. The interviews are relaxed and conversational in style and cover every aspect of robotics.

Per Sjöborg hosts Robots in Depth. He is an experienced interviewer in the field of robotics, interviewing robotics experts regularly since he started his podcast in 2010.
Per is well connected in the robotics community and has attended the industry’s major events since 2008.

Wevolver Robots in Depth Wevolver

    • Tecnologia

Robots in Depth (RID) is an interview series with everyone in robotics, from top entrepreneurs, investors and corporate leaders to researchers, political policy makers and domain experts.
The episodes are 30-60 minutes long, and a new episode is published each week.

The format of RID is that of a talk show with one host and one interviewee, both in the same space. The interviews are relaxed and conversational in style and cover every aspect of robotics.

Per Sjöborg hosts Robots in Depth. He is an experienced interviewer in the field of robotics, interviewing robotics experts regularly since he started his podcast in 2010.
Per is well connected in the robotics community and has attended the industry’s major events since 2008.

    Building millimeter sized robots w/Professor Julien Bourgeois

    Building millimeter sized robots w/Professor Julien Bourgeois

    Julien Bourgeois is professor of computer science at the University of Franche-Comté (UFC) in France. He is part of the FEMTO-ST institute (UMR CNRS 6174) where he leads the complex networks team. His research interests are in distributed intelligent MEMS, P2P networks and security management for complex networks. He is currently visiting professor at Carnegie Mellon University. He has been invited professor at Emory University (US) in 2011 and in Hong Kong Polytechnic University in 2010 and 2011. He co-lead the distributed sensor/actuators MEMS network topic in the CNRS PPF Distributed Intelligent Microsystems. He created and then co-led the Smart Surface project. In 2011, he created the Smart Blocks project which aims at building a self-reconfigurable conveying modular plate-form composed of MEMS sensors and actuators.

    • 45 min
    Rescue robotics & using machine learning to detect gasses w/Achim Lilienthal

    Rescue robotics & using machine learning to detect gasses w/Achim Lilienthal

    Achim Lilienthal a professor for Computer Science at Örebro University and head of the Mobile Robotics and Olfaction (MRO) Lab, a research group at the AASS Research Centre formerly called the "Learning Systems Lab".

    By design, the research directions of the MRO Lab are aligned with his personal research interests. The general focus is on perception systems for mobile robots that operate in unconstrained, dynamic environments. A major aim is to integrate research results timely in industrial demonstrators. More specifically, his research addresses Rich 3D Perception, Robot Vision and Mobile Robot Olfaction.

    • 38 min
    The impact of robots who start taking decisions like humans do. w/Cristina Andersson

    The impact of robots who start taking decisions like humans do. w/Cristina Andersson

    Cristina Andersson started out as a business consultant for major Finish companies and got interested in the quickly growing opportunities in robotics when she wrote a book on the subject.

    The key word for here in this work was autonomous, robots constantly expand the type of decisions they can take and that makes it possible to use them in ever more situations and their value increase quickly.

    • 39 min
    Computer vision for field use in agriculture and recycling w/Michael Nielsen

    Computer vision for field use in agriculture and recycling w/Michael Nielsen

    Michael Nielsen is consultant at the Teknologisk Institut in Taastrup. He specializes in media technology such as interface design, tool progamming (MFC), signal- and image processing, pattern recognition, 3D reconstruction, computer vision, ray tracing, color and light theory, and shadow segmentation.

    His goal is to create innovative media products that will merge the real world with electronic world for enhanced productibility and immersion. The systems should be a natural part of modern life and thus be aware of the dynamic environment that surrounds them.

    • 36 min
    Understanding the world around you using game theory w/Nicole Immorlica

    Understanding the world around you using game theory w/Nicole Immorlica

    Nicole Immorlica is a senior principle researcher at Microsoft whos research lies broadly within the field of algorithmic game theory.
    Using tools and modeling concepts from both theoretical computer science and economics, Nicole hopes to explain, predict, and shape behavioral patterns in various online and offline systems, markets, and games.

    Her areas of specialty include social networks and mechanism design. Nicole received her Ph.D. from MIT in Cambridge, MA in 2005 and then completed three years of postdocs at both Microsoft Research in Redmond, WA and CWI in Amsterdam, Netherlands before accepting a job as an assistant professor at Northwestern University in Chicago, IL in 2008. She joined the Microsoft Research New England Lab in 2012.

    • 36 min
    The social robot revolution w/Gabriel Skantze

    The social robot revolution w/Gabriel Skantze

    Gabriel Skantze is co-founder and Chief Scientist at Furhat Robotics and Professor in speech technology at KTH with a specialization in conversational systems.

    He has a background in research into how humans use spoken communication to interact.
    In his research he studies human communication and develops computational models that allow computers and robots to speak face-to-face with humans.

    • 38 min

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