This article may require copy editing for English. I spotted a few sentences that aren’t terminated with a full-stop. The entire article should probably be reviewed to see if there is anything else besides that punctuation that needs attention, but I don’t have the time for it right now. Marking it so it doesn’t get forgotten..(February 2024) |
Sami Haddadin (born 26 June 1980) [1] is an electrical engineer, computer scientist, and university professor in the field of robotics and artificial intelligence (AI). [2] Since April 2018, he has been the executive director of the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich and holds the Chair of Robotics and Systems Intelligence. [3]
Sami Haddadin was born in Neustadt am Rübenberge, [2] the eldest of three children to a Jordanian doctor and a Finnish nurse. He grew up with his sister and brother in his birthplace Neustadt am Rübenberge. [4] He is married and has three children. [4] He completed his Abitur in 1999 in Stolzenau at the local high school [5] and studied electrical engineering and informatics at the Gottfried Wilhelm Leibniz University of Hanover, the University of Hagen, [6] the University of Oulu in Finland and in Munich. [4] He holds degrees in electrical engineering, computer science and technology management from the Technical University of Munich and the Center for Digital Technology and Management (CDTM), a joint institute of the Technical University of Munich and the Ludwig Maximilians University of Munich. [7] After that, he worked in various functions as a research assistant at DLR. [8] He received his doctorate summa cum laude from RWTH Aachen University in 2011. [9] From April 2014 to April 2018, Haddadin held the chair of the Institute of Automatic Control at the Gottfried Wilhelm Leibniz University Hannover. [10] In 2018, he accepted the call as professor and director of the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM). [2] He has published more than 200 scientific articles. [11] [12] He is one of the founders of the German-based robotic firm Franka Emika GmbH. [13] His patent "Tactile Robot" is the latest entry in the collection "Milestone made in Germany" (DPMA). [14] The invention Panda Robotic Arm was included in the list of "The 50 best inventions of 2018" of Time magazine [15] [16] and in the September 2020 issue of the National Geographic magazine ("Meet the Robots"). [17] Sami Haddadin and his team conceived the exhibition KI.ROBOTIK.DESIGN, in which the emergence, present and future of robotics and AI are presented at the Pinakothek der Moderne [18]
In 2021 Sami Haddadin was accepted as a member of the German National Academy of Sciences Leopoldina [19] For 2019, Haddadin was awarded the Gottfried Wilhelm Leibniz-Prize. [20] Also in 2019, he was elected a member of the German Academy of Science and Engineering (acatech). On November 29, 2017, together with his brother Simon and Sven Parusel, he was awarded the German Future Prize, endowed with 250,000 euros, by Federal President Frank-Walter Steinmeier. [21] The Prize was awarded for the concept "inexpensive, flexible and intuitively operable robots", which turn automats into helpers to humans. [22] In 2015, Haddadin was awarded the Alfried-Krupp Sponsorship Award for Young University Teachers. The prize granted Haddadin 1 million euros over a period of five years. [2] In 2014, Haddadin was appointed professor at the Gottfried Wilhelm Leibniz University in Hanover in the Faculty of Electrical Engineering and Computer Science. At that time, he was the youngest scientist in Germany to hold a chair for control engineering. [2] In 2012, Haddadin's doctoral thesis received the Georges Giralt PhD Award.
Together with the region of Hanover and Leibniz University, Haddadin developed the "Robot Factory" (Roboterfabrik) training program, which started in October 2017 at various schools. [2] [24] He has also participated in groups such as the Lower Saxony Commission (Kommission Niedersachsen 2030), [25] the Study Commission (dt. Enquete-Kommission) "Artificial Intelligence – Social Responsibility and Economic, Social and Ecological Potential", German Parliament, [26] the EU High-Level Industrial Roundtable "Industry 2030", [27] and the EU High-Level Expert Group on "Artificial Intelligence". [28] In 2019, he became a member of the German National Academy of Science and Engineering (acatech) [29] as well as part of the Council of the Future Bavarian Economy (Zukunftsrat der Bayerischen Wirtschaft). [30] In 2020, he was appointed as Chairman of the Bavarian AI Council. [31] Since 2021, Haddadin became member of the German National Academy of Sciences Leopoldina. [32]
Jürgen Schmidhuber is a German computer scientist noted for his work in the field of artificial intelligence, specifically artificial neural networks. He is a scientific director of the Dalle Molle Institute for Artificial Intelligence Research in Switzerland. He is also director of the Artificial Intelligence Initiative and professor of the Computer Science program in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) division at the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia.
Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. While this initially appears to be a chicken or the egg problem, there are several algorithms known to solve it in, at least approximately, tractable time for certain environments. Popular approximate solution methods include the particle filter, extended Kalman filter, covariance intersection, and GraphSLAM. SLAM algorithms are based on concepts in computational geometry and computer vision, and are used in robot navigation, robotic mapping and odometry for virtual reality or augmented reality.
A multi-agent system is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning.
Sensory substitution is a change of the characteristics of one sensory modality into stimuli of another sensory modality.
This is a timeline of artificial intelligence, sometimes alternatively called synthetic intelligence.
A mobile manipulator is a robot system built from a robotic manipulator arm mounted on a mobile platform.
A tactile sensor is a device that measures information arising from physical interaction with its environment. Tactile sensors are generally modeled after the biological sense of cutaneous touch which is capable of detecting stimuli resulting from mechanical stimulation, temperature, and pain. Tactile sensors are used in robotics, computer hardware and security systems. A common application of tactile sensors is in touchscreen devices on mobile phones and computing.
Robotic sensing is a subarea of robotics science intended to provide sensing capabilities to robots. Robotic sensing provides robots with the ability to sense their environments and is typically used as feedback to enable robots to adjust their behavior based on sensed input. Robot sensing includes the ability to see, touch, hear and move and associated algorithms to process and make use of environmental feedback and sensory data. Robot sensing is important in applications such as vehicular automation, robotic prosthetics, and for industrial, medical, entertainment and educational robots.
MiroSurge is a presently prototypic robotic system designed mainly for research in minimally invasive telesurgery. In the described configuration, the system is designed according to the master slave principle and enables the operator to remotely control minimally invasive surgical instruments including force/torque feedback. The scenario is developed at the Institute of Robotics and Mechatronics within the German Aerospace Center (DLR).
Educational robotics teaches the design, analysis, application and operation of robots. Robots include articulated robots, mobile robots or autonomous vehicles. Educational robotics can be taught from elementary school to graduate programs. Robotics may also be used to motivate and facilitate the instruction other, often foundational, topics such as computer programming, artificial intelligence or engineering design.
John Matthew Hollerbach is a professor of computer science and research professor of mechanical engineering at the University of Utah. He is the editor of The International Journal of Robotics Research, a Senior Editor of Presence: Teleoperators & Virtual Environments, and a Governing Board member of the electronic journal Haptics-e.
In computer vision, pattern recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the process of finding a spatial transformation that aligns two point clouds. The purpose of finding such a transformation includes merging multiple data sets into a globally consistent model, and mapping a new measurement to a known data set to identify features or to estimate its pose. Raw 3D point cloud data are typically obtained from Lidars and RGB-D cameras. 3D point clouds can also be generated from computer vision algorithms such as triangulation, bundle adjustment, and more recently, monocular image depth estimation using deep learning. For 2D point set registration used in image processing and feature-based image registration, a point set may be 2D pixel coordinates obtained by feature extraction from an image, for example corner detection. Point cloud registration has extensive applications in autonomous driving, motion estimation and 3D reconstruction, object detection and pose estimation, robotic manipulation, simultaneous localization and mapping (SLAM), panorama stitching, virtual and augmented reality, and medical imaging.
Ujjwal Maulik is an Indian computer scientist and a professor. He is the former chair of the Department of Computer Science and Engineering at Jadavpur University, Kolkata, West Bengal, India. He also held the position of the principal-in-charge and the head of the Department of Computer Science and Engineering at Kalyani Government Engineering College.
The term “soft robots” designs a broad class of robotic systems whose architecture includes soft elements, with much higher elasticity than traditional rigid robots. Articulated Soft Robots are robots with both soft and rigid parts, inspired to the muscloloskeletal system of vertebrate animals – from reptiles to birds to mammalians to humans. Compliance is typically concentrated in actuators, transmission and joints while structural stability is provided by rigid or semi-rigid links.
An event camera, also known as a neuromorphic camera, silicon retina or dynamic vision sensor, is an imaging sensor that responds to local changes in brightness. Event cameras do not capture images using a shutter as conventional (frame) cameras do. Instead, each pixel inside an event camera operates independently and asynchronously, reporting changes in brightness as they occur, and staying silent otherwise.
Daniel Cremers is a German computer scientist, Professor of Informatics and Mathematics and Chair of Computer Vision & Artificial Intelligence at the Technische Universität München. His research foci are computer vision, mathematical image, partial differential equations, convex and combinatorial optimization, machine learning and statistical inference.
Rita Cucchiara is an Italian electrical and computer engineer, and professor in Computer engineering and Science in the Enzo Ferrari Department of Engineering at the University of Modena and Reggio Emilia (UNIMORE) in Italy. She helds the courses of “Computer Architecture” and “Computer Vision and Cognitive Systems”. Cucchiara's research work focuses on artificial intelligence, specifically deep network technologies and computer vision for human behavior understanding (HBU) and visual, language and multimodal generative AI. She is the scientific coordinator of the AImage Lab at UNIMORE and is director of the Artificial Intelligence Research and Innovation Center (AIRI) as well as the ELLIS Unit at Modena. She was founder and director from 2018 to 2021 of the Italian National Lab of Artificial Intelligence and intelligent systems AIIS of CINI. Cucchiara was also president of the CVPL from 2016 to 2018. Rita Cucchiara is IAPR Fellow since 2006 and ELLIS Fellow since 2020.
Auke Jan Ijspeert is a Swiss-Dutch roboticist and neuroscientist. He is a professor of biorobotics in the Institute of Bioengineering at EPFL, École Polytechnique Fédérale de Lausanne, and the head of the Biorobotics Laboratory at the School of Engineering.
Alois Christian Knoll is German computer scientist and professor at the TUM School of Computation, Information and Technology at the Technical University of Munich (TUM). He is head of the Chair of Robotics, Artificial Intelligence and Embedded Systems.
A continuum robot is a type of robot that is characterised by infinite degrees of freedom and number of joints. These characteristics allow continuum manipulators to adjust and modify their shape at any point along their length, granting them the possibility to work in confined spaces and complex environments where standard rigid-link robots cannot operate. In particular, we can define a continuum robot as an actuatable structure whose constitutive material forms curves with continuous tangent vectors. This is a fundamental definition that allows to distinguish between continuum robots and snake-arm robots or hyper-redundant manipulators: the presence of rigid links and joints allows them to only approximately perform curves with continuous tangent vectors.
This article needs additional or more specific categories .(November 2021) |