Dexterous Manipulation with Tactile Fingers Columbia Engineering 2023-04-27 | Researchers at Columbia Engineering demonstrate a highly dexterous robot hand that combines an advanced sense of touch with motor learning algorithms in order to achieve a high level of dexterity. As a demonstration of skill, the team chose a difficult manipulation task: executing an arbitrarily large rotation of an unevenly shaped grasped object in hand while always maintaining the object in a stable, secure hold. This is a very difficult task because it requires constant repositioning of a subset of fingers, while the other fingers have to keep the object stable.Not only was the hand able to perform this task, but it also did it without any visual feedback whatsoever, based solely on touch sensing. In addition to the new levels of dexterity, the hand worked without any external cameras, so it's immune to lighting, occlusion, or similar issues.
Radical New Thinking for Our Water Crisis Columbia Engineering 2023-09-12 | We need to raise our expectations of what water services should be in the 21st century, says leading expert Upmanu Lall.The so-called human right to water needs to be defined in terms of specific expectations that the public and private sectors need to meet, and mechanisms for supporting the technology development and deployment with appropriate financing need to be put in place. I think this kind of advocacy is more important than the typical examples of taking shorter showers and conserving water. Those are also important personal actions, but addressing the common water security locally and globally would be the higher goal.
An Electrifying Pair: next generation electric vehicle technology #short Columbia Engineering 2023-08-23 | Assistant Professor of Electrical Engineering Matthias Preindl and founder and CEO of Tau Motors Wesley Pennington are collaborating to transform next-generation electric vehicle technology, to create a safer and more sustainable future.Read more about this shocking collaboration on our home page.
Reunion Lecture 2023: Semiconductor Innovation Columbia Engineering 2023-07-14 | Shedding light on how the landmark CHIPS Act is set to redefine the future of semiconductor technology, Harish Krishnaswamy, associate professor of electrical engineering, gave alumni an exclusive glimpse into the game-changing developments set to shape the world of technology as we know it.
Reunion Lecture 2023: Todays Growing Fusion Portfolio Columbia Engineering 2023-07-14 | Carlos Paz-Soldan, an associate professor of applied physics and applied mathematics, enraptured alumni attendees with a century of rising and falling interest and research in harnessable nuclear fusion—a promising frontier in the increasingly widespread conversation around energy—and Columbia’s continued role at the forefront.
Reunion Lecture 2023: AI Chatbots Columbia Engineering 2023-07-14 | With Kathleen McKeown, Henry and Gertrude Rothschild Professor of Computer Science.
Columbia Senior Design Expo 2023 Columbia Engineering 2023-05-31 | Innovation and Impact: Columbia Engineering's 2023 Senior Design Expo.Join us in celebrating our seniors' capstone projects which address issues from space junk to potholes, stress mitigation to lab efficiencies. The teams work across departments and skills to identify and produce their sophisticated inventions.
No Bones about it: These Two Engineers are a Perfect Fit Columbia Engineering 2023-05-12 | Class Day speaker and EpiBone CEO Nina Tandon PhD’09 returns to the Engineering School to catch up with mentor and University Professor Gordana Vunjak-Novakovic. Find out how their longtime collaboration has evolved through the years and how their work on EpiBone is advancing personalized medicine.
Ask Us Anything: Faculty Q&A Intro Columbia Engineering 2023-04-25 | This clip introduces our video series showcasing fifteen of our faculty on lab life and the big picture implications beyond. Whether building predictive climate models, thin-film electronics, or sustainable concrete, our engineers are not only making an impact in their fields — they are changing the world at large. The driving question for all, we discovered, is one from Professor Helen Lu: “How do we use our creativity to apply engineering principles to improve the lives around us?” Take a look at the full playlist and find out.
In Brief: Professors Chris Wiggins and Matthew Jones on How Data Happened Columbia Engineering 2023-04-13 | Two professors, two fields, two schools. A data scientist and applied mathematician teaching with an expert on the history of science and technology. One class, one book, one vision. We went behind the scenes with Columbia's two professors for a brief exchange on their book "How Data Happened" which emerged from their class "Data: Past, Present, and Future."
Data: In brief with Professors Chris Wiggins and Matthew Jones Columbia Engineering 2023-04-11 | #shorts Two professors, two fields, two schools. A data scientist and applied mathematician teaching with an expert on the history of science and technology. One class, one book, one vision. We went behind the scenes with Columbia's two professors for a brief exchange on their book "How Data Happened" which emerged from their class "Data: Past, Present, and Future."
Build a Chip, Industry Ready Columbia Engineering 2023-04-07 | Most engineering classes in integrated circuit (‘chip’) design only involve computer simulations, but this class at Columbia Engineering gives students a decisive edge: industrial fabrication and testing of chips they design from scratch.In the VLSI Design Lab, Peter Kinget, Bernard J. Lechner Professor of Electrical Engineering, teaches students how to architect and design a custom chip, send it out for fabrication, and debug problems that occur when testing in the real world. VLSI, short for very large-scale integration, is the fabrication of thousands to billions of transistors onto a single silicon microchip. Instead of focusing on just one circuit building block, student teams make many circuit blocks work together into a system to create an application. After they are designed in the spring semester, the chips are manufactured in a 65nm CMOS foundry over the summer for students to test in the fall. Beyond honing their technical skills, students gain valuable experiences in project organization, time management, teamwork and presenting results, key skills to success in industry and research.Check out the class!https://www.ee.columbia.edu/~kinget/EE6350_S22/
Ask Us Anything: Hod Lipson Highlights Columbia Engineering 2023-03-28 | Hod Lipson is the James and Sally Scapa Professor of Innovation in the Department of Mechanical Engineering. He is a roboticist who works in the areas of artificial intelligence and digital manufacturing, designing and building robots with his students that do what you’d least expect robots to do: Self replicate, self-reflect, ask questions, and even be creative.
The Future of Software-Controlled Cooking Columbia Engineering 2023-03-21 | Take a look at this 7 ingredient printed dessert and ask yourself if conventional cooking appliances such as ovens, stovetops and microwaves may one day be replaced by cooking devices that incorporate three-dimensional (3D) printers, lasers, or other software-driven processes. Research produced by Dr. Jonathan Blutinger and his team at the Creative Machine Labs at Columbia University (directed by Prof. Hod Lipson) and Prof. Christen Cooper, Pace University Nutrition and Dietetics.
Revealing Atomic Structures with a Neutron Camera Columbia Engineering 2023-03-02 | Researchers have developed a new kind of "camera" that sees the local disorder in materials. Its key feature is a variable shutter speed: because the disordered atomic clusters are moving, when the team used a slow shutter, the dynamic disorder blurred out, but when they used a fast shutter, they could see it. The new method doesn't work like a conventional camera--it uses neutrons to measure atomic positions with a shutter speed of around one picosecond, a trillion times faster than normal camera shutters.Video produced by Oak Ridge National Laboratory
Smarter Robots: exploiting airflow Columbia Engineering 2023-02-28 | The self-supervised learning framework Columbia Engineers call DextAIRity learns to effectively perform a target task through a sequence of grasping or air-based blowing actions. Using visual feedback, the system uses a closed-loop formulation that continuously adjusts its blowing direction.DextAIRity’s learning-based approach can quickly and reliably open most bags tested.Read the full story on our website: engineering.columbia.edu
Smarter Robots: hitting the target Columbia Engineering 2023-02-28 | This robot learned how to hit the target (the yellow cup) in seven tries. Read the full story on our website: engineering.columbia.edu
Smarter Robots: achieving object permanence Columbia Engineering 2023-02-28 | A longstanding challenge in computer vision is object permanence, a well-known concept in psychology that involves understanding that the existence of an object is separate from whether it is visible at any moment. To tackle this issue, Columbia Engineering researchers taught neural networks to anticipate what scenes look like in the future by watching many videos. Given a monocular video as input, the framework produces a 4D representation that captures the entire scene content along with all the static and dynamic objects within it over time.Read the summary: “Revealing Occlusions with 4D Neural Fields”https://occlusions.cs.columbia.eduRead the full story on our website: engineering.columbia.eduVideo by Basile Van Hoorick
Ask Us Anything: Helen Lu Highlights Columbia Engineering 2023-02-24 | Helen Lu is Percy K. and Vida L.W. Hudson Professor of Biomedical Engineering and Senior Vice Dean of Faculty Affairs and Advancement. Her research focuses on Orthopaedic Interface Tissue Engineering and the formation of complex tissue systems, with the goal of achieving integrative and functional repair of soft tissue injuries.
Ask Us Anything: Elizabeth Hillman Highlights Columbia Engineering 2023-02-24 | Elizabeth Hillman is the Herbert and Florence Irving Professor at the Zuckerman Mind Brain Behavior Institute and a professor of biomedical engineering and radiology at Columbia Engineering. Her research focuses on the development of novel biomedical imaging and microscopy techniques that use light to capture information about the structure and function of living tissues.
Ask Us Anything: Alissa Park Highlights Columbia Engineering 2023-02-24 | Alissa Park is the Lenfest Earth Institute Professor of Climate Change in the Departments of Earth and Environmental Engineering and Chemical Engineering at Columbia, as well as the department chair of Earth and Environmental Engineering, and the director of the Lenfest Center for Sustainable Energy. In her work she advances the fundamental understanding of CO2 interactions with engineered and natural materials and develops technologies for sustainable energy and material conversion pathways with emphasis on carbon capture, utilization and storage.
Ask Us Anything: Andrew Smyth Highlights Columbia Engineering 2023-02-24 | Andrew Smyth is the Robert A.W. and Christine S. Carleton Professor of Civil Engineering and Engineering Mechanics at Columbia Engineering. He works primarily in the area of infrastructure monitoring using sensor data and information to understand the condition and performance of our urban infrastructure.
Ask Us Anything: Lorenzo Polvani Highlights Columbia Engineering 2023-02-24 | Lorenzo Polvani is the Maurice Ewing and J. Lamar Worzel Professor of Geophysics in the Department of Applied Physics and Applied Mathematics at Columbia Engineering. He is particularly interested in quantifying and distinguishing the effects of anthropogenic forcings from natural climate variability.
Ask Us Anything: Garud Iyengar Highlights Columbia Engineering 2023-02-22 | Garud Iyengar is a professor in the Industrial Engineering and Operations Research Department at Columbia University School of Engineering and Applied Science and is the senior Vice Dean for research and academic programs at the school. His research is focused on understanding uncertain systems and exploiting available information using data-driven control and optimization algorithms
Ask Us Anything: Cliff Stein Highlights Columbia Engineering 2023-02-22 | Cliff Stein is the Wai T. Chang Professor of Industrial Engineering and Operations Research, the interim director of the Data Science Institute, and a professor of computer science at Columbia University School of Engineering and Applied Science. His research interests include the design and analysis of algorithms, combinatorial optimization, operations research, network algorithms, scheduling, algorithm engineering and computational biology.
Ask Us Anything: Brian Smith Highlights Columbia Engineering 2023-02-21 | Brian Smith is an assistant professor of Computer Science at Columbia where he directs the Computer-Enabled Abilities Laboratory. He conducts work in the field of Human Computer Interaction developing computers that help people perceive and interact with the world around them.
Ask Us Anything: Toni Pitassi Highlights Columbia Engineering 2023-02-21 | Toni Pitassi is the Jeffrey L. and Brenda Bleustein Professor of Engineering in the Department of Computer Science. Her primary research interests are complexity theory, fairness and privacy in machine learning.
Ask Us Anything: John Kymissis Highlights Columbia Engineering 2023-02-21 | John Kymissis is the Kenneth Brayer Professor in Electrical Engineering and heads the Columbia Laboratory for Unconventional Electronics. His research focuses on the fabrication, characterization, and applications of thin film electronics, with a particular focus in the applications of organic semiconductors, thin film piezoelectric, and recrystallized silicon devices
Ask Us Anything: Richard Zemel Highlights Columbia Engineering 2023-02-21 | Richard Zemel is a professor of computer science and the Trianthe Dakolias Professor of Engineering and Applied Science. His research focuses on machine learning and artificial intelligence.
Ask Us Anything: Christine Hendon Highlights Columbia Engineering 2023-02-21 | Christine Hendon is an associate professor within the Department of Electrical Engineering at Columbia University and the chair of the PT admissions committee within the school of engineering. In her work she develops biomedical optics technologies to guide interventional procedures and provide insights into the structure-function relationship of biological normal, diseased, and treated tissues.
Ask Us Anything: Paul Sajda Highlights Columbia Engineering 2023-02-21 | Paul Sajda is the Vikram S. Pandit Professor of Biomedical Engineering and a professor in electrical engineering and radiology. His research is interested in what happens in our brains when we make a rapid decision and, conversely, what processes and representations in our brains drive our underlying preferences and choices, particularly when we are under time pressure.
Ask Us Anything: Pierre Gentine Highlights Columbia Engineering 2023-02-21 | Pierre Gentine is a Maurice Ewing and J. Lamar Worzel Professor of Geophysics in the Department of Earth and Environmental Engineering and Professor of Earth and Environmental Sciences. He is the director of our National Science Foundation center called LEAP: Learning the Earth with Artificial Intelligence and Physics. His research investigates the continental hydrologic cycle using multi scale modeling and big data in the context of rising CO2 concentrations.
Robotics Studio at Columbia Engineering Columbia Engineering 2023-02-20 | “Loves building robots that do what you’d least expect robots to do: Self replicate, self-reflect, ask questions, and even be creative,” is how roboticist Professor Hod Lipson describes himself.Sharing this passion in his popular Robotics Studio class, Lipson takes students – nearly 100 of them last semester – through steps where they design, fabricate, and program robots that walk. Take a look here at 49 unique robots in action.This hands-on studio class immerses students in the entire robot creation process, covering conceptual design, detailed design, simulation and modeling, digital manufacturing, electronics and sensor design, and software programming. Students document the entire process on video. The creativity driving these peripatetic creatures – whether dancing or walking on 2 legs – make this a uniquely Columbia Engineering class.
Learning Health Systems Symposium: Session 3 Columbia Engineering 2023-01-12 | SESSION 3: Learning Health Systems Symposium 12.13.2022“Community Innovations in LHS”• Remarks from Eric Vieira, PhD• Presentation: Using Speech and Language to Identify Patients at Risk for Emergency Department Visit and Hospitalization in Home Healthcare – Maryam Zolnoori, PhD
Learning Health Systems Symposium: Session 1 Columbia Engineering 2023-01-12 | SESSION 1: Learning Health Systems Symposium 12.13.2022“Movement Towards LHS”• Remarks from Muredach Reilly, MBBCh, MSCE and Chunhua Weng, PhD• Presentation 1A: Transforming Care Delivery: Application of a Learning Health System Model – Namita Azad, MPH • Presentation 1B: Learning Health System Approach to Preventing Catheter Associated Urinary Tract Infections (CAUTIs): A Randomized Quality Improvement Project – Jason Adelman, MD, MS• Presentation 1C: Creating a Learning Public Mental Health System in New York State – Thomas E. Smith, MD
Learning Health Systems Symposium: Session 2 Columbia Engineering 2023-01-12 | SESSION 2: Learning Health Systems Symposium 12.13.2022“LHS Pilot Programs at Columbia”• Remarks from Muredach Reilly, MBBCh, MSCE and Laureen Hill, MD, MBA• SPARK TALK #1: Innovation at the Point of Care: Optimized Appointment Scheduling – Corinne DePue, MPH + Carolyn Armstrong• SPARK TALK #2: Causal Fairness in Intensive Care Medicine – Drago Plecko, PhD• PILOT WINNER: Piloting a Pediatric Health Equity and Quality Dashboard and Implementation Roadmap – Sandhya Brachio, MD, MSCH• PILOT WINNER: A Machine Learning Approach for Early Detection of Sepsis – Carri Chan, PhD + Benjamin Ranard, MD, MSHP
CAIT Distinguished Lecture: Pierre Gentine Columbia Engineering 2023-01-05 | Physics to Machine Learning and Machine Learning Back to PhysicsOver the last couple of years, we have witnessed an explosion in the use of machine learning for Earth system science application ranging from Earth monitoring to modeling. Machine learning has shown tremendous success in emulating complex physics such as atmospheric convection or terrestrial carbon and water fluxes using satellite or high-fidelity simulations in a supervised framework. However, machine learning, especially deep learning, is opaque (the so-called black box issue) and thus a question remains: what (new) understanding have we really developed?In this lecture, Professor Gentine illustrates the value of machine learning for specific examples and some of the needed advances in machine learning to push climate science forward.Pierre Gentine is the Maurice Ewing and J. Lamar Worzel professor of geophysics in the departments of Earth and Environmental Engineering and Earth and Environmental Sciences at Columbia University. He studies the terrestrial water and carbon cycles and their changes with climate change. Pierre Gentine is recipient of the National Science Foundation (NSF), NASA and Department of energy (DOE) early career awards, as well as the American Geophysical Union Global Environmental Changes Early Career, Macelwane medal and American Meteorological Society Meisinger award. He is the director of the new NSF Science and Technology Center (STC) for Learning the Earth with Artificial intelligence and Physics (LEAP), the largest funding mechanism of the NSF.
SESSION 1: Columbia CryptoEconomics Workshop 12.01.2022 Columbia Engineering 2022-12-14 | SESSION 1: Columbia CryptoEconomics Workshop 12.01.2022• Remarks from Columbia Engineering Dean Shih-Fu Chang• Presentation 1A: Proposer-Builder Separation from the Ethereum Protocol's Perspective – Barnabé Monnot, Ethereum Foundation• Presentation 1B: MEV Desiderata: Selected trillion-dollar questions? – Philip Daian, Flashbots
SESSION 5: Lightning Talks - Columbia CryptoEconomics Workshop 12.01.2022 Columbia Engineering 2022-12-14 | SESSION 5: Lightning Talks - Columbia CryptoEconomics Workshop 12.01.2022• MEV and Strategic Reorg Attacks – Matt Weinberg, Princeton University• Distributed Consensus – Jiasun Li, George Mason University• Designing Multi-dimensional Blockchain Fee Markets – Theo Diamandis, MIT / Bain Capital Crypto• Blockspace Derivatives – Julian Ma, Ethereum Foundation• Frontrunning Risk and Miner Extractable Value – Agostino Capponi, Columbia Engineering• MEV and credible commitments – Xinyuan Sun, Flashbots• Building as blockspace refinement – Alex Stokes, Ethereum Foundation• Censorship resistance in Ethereum – Francesco D’Amato, Ethereum Foundation• The Relationship Between Scale and Security – Fahad Saleh, Wake Forest University• Puffer: Towards Trustless Stake Pools – Jason Vranek, Portal
SESSION 3: Columbia CryptoEconomics Workshop 12.01.2022 Columbia Engineering 2022-12-14 | SESSION 3: Columbia CryptoEconomics Workshop 12.01.2022• Presentation 3A: Encrypted Mempools – Justin Drake, Ethereum Foundation• Presentation 3B: Crypto Meets Decentralized Mechanism Design – Elaine Shi, Carnegie Mellon University
SESSION 2: Columbia CryptoEconomics Workshop 12.01.2022 Columbia Engineering 2022-12-14 | SESSION 2: Columbia CryptoEconomics Workshop 12.01.2022• Presentation 2A: Data Availability Sampling – Dankrad Feist, Ethereum Foundation• Presentation 2B: Multidimensional Resource Pricing on Ethereum: EIP-4844 and Beyond – Ansgar Dietrichs, Ethereum Foundation
SESSION 4: Columbia CryptoEconomics Workshop 12.01.2022 Columbia Engineering 2022-12-14 | SESSION 4: Columbia CryptoEconomics Workshop 12.01.2022• Remarks from Columbia Business School Dean Costis Maglaras• Keynote Presentation: Eight Reasons Why Mechanism Design for Blockchains is Hard (and Fascinating) – Timothy Roughgarden, Columbia Engineering
Columbia Center of AI Technology 2022 Symposium: Autonomy & Trust Part 02 Columbia Engineering 2022-11-01 | The Columbia Center of AI Technology (CAIT) in collaboration with Amazon was founded in 2020 with a mission to better society through the development and adoption of advanced AI technologies contributing to a more secure, connected, creative, sustainable, healthy, and equitable humanity. A major goal within this mission is to create a community of scholars and practitioners at the leading edge of AI and AI technology development.The 2nd Annual CAIT Symposium will bring together researchers, leaders, and experts from academia, industry, and government to discuss advances and new challenges in the field of AI technology, specifically related to autonomy and trust.
Columbia Center of AI Technology 2022 Symposium: Autonomy & Trust Part 01 Columbia Engineering 2022-11-01 | The Columbia Center of AI Technology (CAIT) in collaboration with Amazon was founded in 2020 with a mission to better society through the development and adoption of advanced AI technologies contributing to a more secure, connected, creative, sustainable, healthy, and equitable humanity. A major goal within this mission is to create a community of scholars and practitioners at the leading edge of AI and AI technology development.The 2nd Annual CAIT Symposium will bring together researchers, leaders, and experts from academia, industry, and government to discuss advances and new challenges in the field of AI technology, specifically related to autonomy and trust.
Senior Design Expo 2022 Columbia Engineering 2022-10-20 | What’s the culmination of our undergraduate engineering education? Senior Design Expo. Our engineering coursework leads up to the senior design project where students have the opportunity to form a team, come up with an original idea, and then design, build, test and showcase at the Expo. Through these projects, our students become young engineers, confronting the challenges of the world today and how to address them. Take a look at our graduating engineers for humanity as they present projects that range from improving the air quality here in the NYC subway stations to hosting small-scale biological experiments on rockets in space.
CAIT Distinguished Lecture - 09.13.2022 - OSU Dean of Engineering Ayanna Howard Columbia Engineering 2022-09-16 | People tend to overtrust sophisticated computing devices, especially those powered by AI. As these systems become more fully interactive with humans during the performance of day-to-day activities, ethical considerations in deploying these systems must be more carefully investigated. Bias, for example, has often been encoded in and can manifest itself through AI algorithms, which humans then take guidance from, resulting in the phenomenon of excessive trust. Bias further impacts this potential risk for trust, or overtrust, in that these intelligent systems are learning by mimicking our own thinking processes, inheriting our own implicit gender and racial biases, for example. These types of human-machine feedback loops may consequently have a direct impact on the overall quality of the interaction between humans and machines, whether the interaction is in the domains of healthcare, job-placement, or other high-impact life scenarios. In this talk, we will discuss various forms of human overtrust with respect to these intelligent machines and possible ways to mitigate the impact of bias in our interactions with them.Dr. Ayanna Howard is the Dean of Engineering at The Ohio State University and Monte Ahuja Endowed Dean's Chair. Previously she was the Linda J. and Mark C. Smith Endowed Chair in Bioengineering and Chair of the School of Interactive Computing at the Georgia Institute of Technology. Dr. Howard’s research encompasses advancements in artificial intelligence (AI), assistive technologies, and robotics, and has resulted in over 275 peer-reviewed publications. She currently works on projects ranging from healthcare robots to developing methods to mitigate bias and trust in AI. She is a Fellow of IEEE, AAAI, AAAS, and the National Academy of Inventors (NAI). She was also recently elected to the American Academy of Arts and Sciences. To date, Dr. Howard’s unique accomplishments have been highlighted through a number of other public recognitions, including being recognized as one of the 23 most powerful women engineers in the world by Business Insider and one of the Top 50 U.S. Women in Tech by Forbes. In 2013, she also founded Zyrobotics, which developed STEM educational products to engage children of diverse abilities. Prior to Georgia Tech, Dr. Howard was at NASA's Jet Propulsion Laboratory where she held the title of Senior Robotics Researcher and Deputy Manager in the Office of the Chief Scientist. She also served on the National Academies’ Committee on Responsible Computing Research: Ethics and Governance of Computing Research and its Applications and currently serves on the National Artificial Intelligence Advisory Committee (NAIAC) and on the standing committee of the One Hundred Year Study on Artificial Intelligence (AI100).
Happy Anniversary to Columbia Engineering! Columbia Engineering 2022-09-13 | On November 15th, 1864, the Columbia College School of Mines opened on Madison Avenue, establishing a School within Columbia focused on engineering and applied science. By 1892, nearly half of all mining school graduates in the United States hailed from Columbia. Today, from AI to climate modeling, Columbia Engineering continues to be at the forefront of breakthrough science and technology, building a better future for all of us. Join us in celebrating 150+ years of innovation in research and education!
Embodied Intelligence: Robots that touch the world Columbia Engineering 2022-09-02 | Most people think of intelligence as existing in the computer or our brain. Artificial intelligence recognizes faces, understands speech, picks movies, and corrects typos. These tasks are well-suited for computers. But when it comes to roboticists, they are all about physical tasks in the real world. And, intelligence is no longer is confined to the realm of the bits, the intelligent agent is a robot. Professor Matei Ciocarlie’s Robotic Manipulation and Mobility lab is embodying intelligence in robot hands to solve the problem of physical interaction in our complicated world. In this video, Ciocarlie explains why machine learning for dexterous manipulation, whether on the factory floor or for a NASA robot, isn’t so different from how humans learn to play tennis. “Dexterous robotic manipulation is needed now in fields such as manufacturing and logistics, and is one of the technologies that, in the longer term, are needed to enable personal robotic assistance in other areas, such as healthcare or service domains” notes Professor Matei Ciocarlie. Find out more about the lab's technology for its hands in our Youtube Video "Embodied Intelligence: Building Machine Learning into Robot Hands."
