Our People. We create. She was also the recipient of an NSF Career award and an Alfred P. Sloan Foundation fellowship, and of the 2002 MacArthur Fellowship.[3]. This includes sets of robotic cubes that use angular movement to assemble into different formations,[9] and magnet-controlled robots that can walk, sail and glide using different dissolvable exoskeletons. In previous [origami] robots, they had to design electronics and motors to actuate the body itself.. The late MIT Professor Angelika Amon was recognized as Committed to Caring for her generous and encompassing mentorship. "We do have the wind at our . Rus was an early contributor to the field of soft robotics, which some researchers believe has the potential to outperform traditional hard-bodied robotics in a range of human environments. She earned her PhD in Computer Science from Cornell University. GPS data) and we estimate (approximate) the hidden a social network in the data by using a particular data reduction algorithm (i.e., by using coresets). A robot's physical form and its motion are innately coupled - in order to change its physical design, one must often change the way it moves, and vice versa. As Daniela says, "STEM is in my DNA.". She is working on a new class of machine learning models that she calls liquid networks that can more accurately estimate uncertainty,[20] better understand the cause-and-effect of tasks,[21] and even that can continuously adapt to new data inputs[22] rather than only learning during the training phase. In recent years Rus has worked with MIT colleague Wojciech Matusik to create methods for 3D-printing robots and other functional objects, often made out of multiple different types of material. Thomas W. Malone, Daniela Rus, and Robert Laubacher Executive Summary Artificial intelligence (AI) is one of the most important technologies in the world today. 58-60 Campus FSEGA 400591, Cluj-Napoca, Romania Tel: +40 264 418 652/3/4/5 Fax: +40 264 412 570. Many of the Distributed Robotics Lab's projects have focused on enabling smoother and more natural interaction and collaboration between humans and robots. She is a MITRE senior visiting fellow, serves as a USA expert member for GPAI (Global Partnerships in AI), a member of the board of advisers for Scientific American, a member of the Defense Innovation Board, and a member of several other boards of technical companies. Medals Faculty Rodney MIT CSAIL researchers solve a differential equation behind the interaction of two neurons through synapses to unlock a new type of speedy and efficient AI algorithm. [15] Rus has created inexpensive designs and fabrication techniques for a range of silicon-based robots and 3D-printable robots,[16] with the goal of making it easier for non-experts to make their own. The graduate student in biological engineering is the second MIT student-athlete ever to earn Woman of the Year honors. We leverage computational, theoretical, and experimental tools to develop groundbreaking sensors and energy transducers, new physical substrates for computation, and the systems that address the shared challenges facing humanity. Rus' research has also involved developing machine learning systems for a range of use cases and industries, including for autonomous technologies for vehicles on land, in the air and at sea. 114, no. ChainQueen [158] and IPC-Sim (Incremental Potential Contact Simulator) [159] are. Rus also co-founded (1995) and co-directs the Dartmouth Transportable Agents Laboratory. Laparoscopic surgeries can take hours, and the video generated by the camera the laparoscope is often recorded. v*W_w:1E&DH^r(Tq "D9 y:I\/%5e5)< Rus is the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT and the deputy dean of research for the MIT Stephen A. Schwarzman College of Computing. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineers, and the American Academy of Arts and Sciences. By leveraging research from the area of formal verification, this framework aims to assess the safety, i.e., free of collisions, of a broad class of autonomous car controllers/planners for a given traffic model. A revoluionat, prin contribuie direct, domeniul roboticii. Rus's research interests are in robotics and artificial intelligence. Our research addresses the development of algorithms and systems that enable collaboration, increase autonomous capabilities, and rethink the ways in which we design and interact with the physical world. 'Dh;-1w%/oqse4+wH@(J]>V$)OQ"sOr`By#p FR(OW&5?k4M stream Distributed Robotics Lab MIT CSAIL 32 Vassar Street, 32-376 Cambridge, MA 02139. One is that the obstacles they come in contact with are sometimes other people. View contact information: phones, addresses, emails and networks. Professor Rus is a world leader in the area of self-organizing systems, which may be comprised of mobile robots, mobile or stationary sensors and actuators. She has built novel hardware devices, invented new algorithms and developed many of the first reconfiguring robots. Protectia datelor cu caracter personal FSEGA. 0. [8] Key to these results is the tight coupling between perception, control, and communication. Daniela Rus on the 2021 50 Over 50 - Vision - Rus is a robotics researcher and 2002 MacArthur Foundation genius grant recipient. In addition to contributing fundamentally to the design, control, planning, and learning for agents, Rus also considered what is necessary for robots to be deployed in the world. Astfel, au fost scoase la concurs, pentru perioada 10 februarie - 31 august 2023, 3 posturi de View the profiles of professionals named "Daniela Rus" on LinkedIn. She earned her PhD in Computer Science from Cornell University. She is interested in developing the science of networked . Crystalline modules can aggregate together to form distributed robot systems. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering, and the American Academy for Arts and Science. Dan Feldman, Chongyuan Xiang, and Daniela Rus, "Coresets for Differentially Private k-Means Clustering and Applications to Privacy in Mobile Sensor Networks", 2016 ACM Conference on Embedded Sensor Networks (Sensys), April 2017, Help robots learn faster by providing demonstrations when they need help, Interact with robots and other devices by gesturing, using wearable muscle and motion sensors, Robot assistants that can help you lift objects by mirroring motions and following nonverbal commands, Ensuring correct behavior of autonomous vehicles with respect to rules of the road. My arrival appears to come as a bit of a surprise, as she readies herself to enter the gauntlet of wall-to-wall meetings. Variational End-to-End Navigation and Localization. Her group has developed methods for 3D-printing materials to sense how they are moving and interacting with their environment, which could be used to create soft robots that have some sort of understanding of their own posture and movements. Daniela Rus, romnca de la MIT care scrie istorie, n exclusivitate pentru Q Magazine. Massachusetts Institute of Technology77 Massachusetts Avenue, Cambridge, MA, USA, MIT Computer Science & Artificial Intelligence Lab. Can computers automatically and simultaneously design robot structure and motion? Algorithms that are able to design high-performance and provably safe motion through cluttered, dynamics environments are required for cars to operate in complex urban environments. [27], Her group has also worked on projects geared towards helping the physically disabled. Im grateful to be able to add my perspective as a computer scientist to this group at a time when so many issues involving AI and other aspects of computing raise important scientific and policy questions for the nation and the world, says Rus. October 28, 2019. Principal Investigator Description An efficient and high-intensity bootcamp designed to teach you the fundamentals of deep learning as quickly as possible! We are juggling a puck sliding on a table, using only a pretensioned rubber band. She is a recipient of the Engelberger Robotics Award for Education. Key threads include developing metrics of confidence; and designing deep learning algorithms for parallel autonomy. xZ +AF-Ld7I,.f6AJK,&h]%")/,jO-^/Em?Ec]"xi)-K!_>|~K#Iw? PCAST operates under the aegis of the White House Office of Science and Technology Policy (OSTP), which was established in law in 1976. My research focuses on making human-robot interaction more natural and effective by using wearable devices such as muscle sensors . Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Anyone whos watched drone videos or an episode of BattleBots knows that robots can break and often its because they dont have the proper padding to protect themselves.But this week researchers at MITs Computer Science and Artificial Intelligence Laboratory (CSAIL) will present a new method for 3-D printing soft materials that make robots safer and more precise in their movements and that could be used to improve the durability of drones, phones, shoes, helmets, and more.The teams programmable viscoelastic material (PVM) technique allows users to program every single part of a 3D-printed object to the exact levels of stiffness and elasticity they want, depending on the task they need for it. [32] One example is her project to develop self-driving vehicles. Daniela Rus 1,223 views Aug 2, 2016 MITCSAILDaniela Rus .more .more 9 Dislike Share Save 93.4K. Her research interests are in robotics, artificial intelligence, and data science. This website is managed by the MIT News Office, part of the Institute Office of Communications. Check resumes and CV, places of employment, publications, social media profiles, news, skilled experts, photos and videos, public records and arrest records . She earned her Ph.D. in computer science from Cornell University. Andrew D Marchese 1 , Robert K Katzschmann 1 , Daniela Rus 1 Affiliation 1 Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology , Cambridge, Massachusetts. Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. [25] Using wearable body sensors, she has developed systems that enable users to more smoothly control drones[26] and work with to lift and transport goods. Twitter; Facebook; Youtube; Rss . Andrew (1956) and Erna Viterbi Professor of Computer Science, Adres de e-mail confirmat pe csail.mit.edu, Proceedings of the 2nd international conference on Embedded networked sensor, J Alonso-Mora, S Samaranayake, A Wallar, E Frazzoli, D Rus, Proceedings of the National Academy of Sciences 114 (3), 462-467. Traffic is not just a nuisance for drivers: Its also a public health hazard and bad news for the economy. Sistemul nu poate realiza operaia n acest moment. Previous councils have offered advice on topics ranging from data privacy and nanotechnology to job training and STEM education. Results: Four main subfields of AI were defined: (1) machine learning, (2) artificial neural networks, (3) natural language processing, and (4) computer vision. Daniela L. Rus (n.1963, Cluj, Romnia) este o robotician romno-american, director al MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) i Profesor Andrew i Erna Viterbi" n Departamentul de Inginerie Electric i tiina Calculatoarelor (Department of Electrical Engineering and Computer Science, EECS) la Massachusetts Institute of Technology. Crystalline modules can move relative to each other by expanding and contracting. Research" list.[33]. The focus of her work is developing the science and engineering of autonomy, toward the long-term objective of enabling a future with machines pervasively integrated into the fabric of life, supporting people with cognitive and physical tasks. The cooperation of a human pilot with an autonomous agent during flightcontrol realizes parallel autonomy. M Yim, WM Shen, B Salemi, D Rus, M Moll, H Lipson, E Klavins, IEEE Robotics & Automation Magazine 14 (1), 43-52, S Felton, M Tolley, E Demaine, D Rus, R Wood, I Vasilescu, K Kotay, D Rus, M Dunbabin, P Corke, Proceedings of the 3rd international conference on Embedded networked sensor, IEEE Transactions on computers 55 (2), 214-226. CV Blackboard : Dr. Alexandra Ioana Daniela Rus. Prof. Daniela L Rus. Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Creating modular robotic systems which can reconfigure themselves in order to create new robots. White canes have a few drawbacks, however. Daniela L. Rus is a roboticist and computer scientist, Director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), and the Andrew and Erna Viterbi Professor in the Department of Electrical Engineering and Computer Science (EECS) at the Massachusetts Institute of Technology . Her projects have often drawn inspiration from nature, including the robotic fish and a trunk-like robot imbued with touch sensors. Rus has published an extensive collection of research articles that span the fields of robotics, artificial intelligence (AI), machine learning, and computational design. Uniting industry, academia and government to advance computing research and change the world. Their current and future applications to surgical practice were introduced, including big data analytics and clinical . Daniela Rus, Sertac Karaman Motion planning is critical for future driver assistance systems and autonomous cars. The applications of her work are broad and include transportation, manufacturing, medicine, and urban planning. Our Culture Careers Employee Voices. . As head of CSAIL's Distributed Robotics Lab, Rus focuses her research on the science and engineering of autonomy, with the goal of developing systems that seamlessly integrate into people's lives to support them with cognitive and physical tasks. Engineers 3D print materials with networks of sensors directly incorporated. Daniela Rus & Marsette Vona Autonomous Robots 10 , 107-124 ( 2001) Cite this article 948 Accesses 238 Citations Metrics Abstract We discuss a robotic system composed of Crystalline modules. We lead. CSAIL researchers Daniela Rus and Erik Demaine, in partnership with Harvard University's Robert Wood, have developed a small resin-fiberglass sheet programmed to fold itself into three-dimensional shapes. 2018-2022: Universitatea Babe-Bolyai Cluj-Napoca, Facultatea de tiine Economice i Gestiunea Afacerilor, coala Doctoral- doctorand - Domeniul Finane ; Diplom de doctor. Joseph DelPreto. Prior to joining MIT, Rus was a professor in the Computer Science Department at Dartmouth College. Telephone: 617-253-6532 Fax: 617-253-6849. A team that includes CSAIL researchers has designed a flying monkey robot that walks, grasps, flies, and clocks in at less than 1/10th of a pound. She has 3D-printed soft robots with embedded electronics,[30] items with tunable mechanical properties,[31] and even smart gloves that could help with grasping tasks for people with motor-coordination issues. Crawling, flying, and grasping allows the flying monkey to perform complex tasks such as hopping over obstacles, crawling under or through small openings, and picking up small objects. 2019- prezent: Universitatea Babe-Bolyai Cluj-Napoca, Facultatea de tiine Economice i Gestiunea Afacerilor, Cadru Didactic Asociat. Our goal is to design novel data compression techniques to accelerate popular machine learning algorithms in Big Data and streaming settings. Rus research interests are in robotics, artificial intelligence, and data science. She earned her bachelor's degree in computer science in 1985 from the University of Iowa, before getting a PhD in 1993 at Cornell University under the supervision of John Hopcroft. Information: phones, addresses, emails and networks the robotic fish and a trunk-like robot with. Bootcamp designed to teach you the fundamentals of deep learning algorithms in big data and settings! 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