Robots on an environmental mission, strong performance at the IROS robotics conference, exoskeleton expert new MIRMI Deputy Director: the highlights of 2024.
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Almost a year and a half ago, two graduates from the Technical University of Munich, Said Derbel and Yamen Mohisn, founded SmartAIs with Sascha Preget on the commercial side and Anika Watzka, responsible for product and design. Their mission is to make life easier for blind people with the help of artificial intelligence.
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Sebastian Steinhorst wants to make intelligent networked systems as powerful and efficient as possible, sees immense potential in generative AI, and works with Siemens on the industrial metaverse. Among other things, the industrial company is helping the professor from the Technical University of Munich, who is associated with MIRMI, to subject new developments to a reality check. An interview by Katharina Frantz
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A myoelectric prosthesis for the hand is the focus of the CyberTUM student team. At the Cybathlon 2024, pilot Adnan Jukic will control it in the Arm Prothesis Race with the help of muscle signals in the forearm. The technical concept was developed by students from the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM) as part of a course.
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Modelling the teleoperation of service robots with the help of an exoskeleton of the upper limbs: This is the topic of a new publication presented by the Geriatronics team at the IROS robotics trade fair in Abu Dhabi. PhD student Moein Forouhar explains how the new approach works.
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At the international robotics conference IROS 2024, we are once again living up to our top-tier status: TUM MIRMI leads the field of scientific contributions by a wide margin. With 58 publications, 4 workshops, one competition, and one tutorial, the Technical University of Munich surpasses renowned institutions like UC Berkeley, Zhejiang University, and ETH Zurich.
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The DARKO project has been recognized by the Innovation Radar for its "Bi-Stiffness Actuator". This recognition highlights the collaborative efforts of European institutions in developing autonomous, adaptive robots for dynamic environments. The Innovation Radar identified this innovation as having strong market potential. This acknowledgment underscores the project's contribution to advancing human-robot collaboration in industrial settings.
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Ideally, a robot arm should move like a human arm. This is why researchers from the Chair of Media Technology at the Technical University of Munich (TUM) are looking at how stiff a human arm is when it performs specific tasks. Researcher Zican Wang explains why haptic sensors and a newly developed controllers are essential for this.
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In this interview, Diego Prado, a doctoral candidate at the Chair of Media Technology and researcher at the KI.FABRIK project, discusses their paper and work which was nominated for the IEEE Best Paper Award, looking at how integrating reinforcement learning with human demonstrations accelerates robot learning and bridges the simulation-to-real-world gap, even with imperfect human demonstrations.
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Predicting pedestrian movements can often be achieved with only the last second of observation. Moreover, AI-based approaches don't always offer the expected advantages. These are the findings of a new research study from the Chair of Automotive Technology at the Technical University of Munich (TUM). Insights from PhD student Nico Uhlmann.
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