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DTSTART;TZID=America/New_York:20240411T120000
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DTSTAMP:20260717T072113
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UID:140088-1712836800-1712842200@www.ri.cmu.edu
SUMMARY:Teruko Yata Memorial Lecture
DESCRIPTION:Human-Centric Robots and How Learning Enables Generality\n \nAbstract: \nHumans have dreamt of robot helpers forever. What’s new is that this dream is becoming real. New developments in AI\, building on foundations of hardware and passive dynamics\, enable vastly improved generality. Robots can step out of highly structured environments and become more human-centric: operating in human spaces\, interacting with people\, and doing some basic human workflows. At Agility Robotics\, our bipedal human-centric robot\, Digit\, is learning skills inside a digital twin of real-world customer environments\, and beginning to achieve performance that exceeds any prior control approach\, with less engineering time invested to learn new skills. By connecting a Large Language Model\, Digit can convert natural language high-level requests into complex robot instructions\, composing the library of skills together\, using human context to achieve real work in the human world. All of this is new – and it is never going back: AI will drive a fast-following robot revolution that is going to change the way we live. \nBio: \nJonathan W. Hurst is Chief Robot Officer and co-founder of Agility Robotics\, and Professor and co-founder of the Oregon State University Robotics Institute. He holds a B.S. in mechanical engineering and an M.S. and Ph.D. in robotics\, all from Carnegie Mellon University. Throughout his career\, his research has focused on understanding the fundamental science and engineering best practices for robotic legged locomotion and physical interaction. At OSU\, he led the team that developed ATRIAS\, the first robot to reproduce human walking gait dynamics\, and Cassie\, which holds the world record for the fastest 100 meter dash by a bipedal robot. At Agility Robotics\, Hurst is building upon this R&D foundation to develop human-centric\, multi-purpose robots such as Digit\, the first commercially available bipedal robot made for real-world logistics work. Hurst spends every day working to realize his lifelong vision of robots going where people go\, generating greater productivity across the economy\, and improving quality of life for all.
URL:https://www.ri.cmu.edu/event/yata-jonathan-hurst/
CATEGORIES:SCS Distinguished Lecture,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ri.cmu.edu/app/uploads/2024/03/jonathan-hurst-500x500-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220414T160000
DTEND;TZID=America/New_York:20220414T170000
DTSTAMP:20260717T072113
CREATED:20220329T194328Z
LAST-MODIFIED:20220415T024314Z
UID:131250-1649952000-1649955600@www.ri.cmu.edu
SUMMARY:Teruko Yata Memorial Lecture
DESCRIPTION:Leveraging Language and Video Demonstrations for Learning Robot Manipulation Skills and Enabling Closed-Loop Task Planning \nHumans have gradually developed language\, mastered complex motor skills\, created and utilized sophisticated tools. The act of conceptualization is fundamental to these abilities because it allows humans to mentally represent\, summarize and abstract diverse knowledge and skills. By means of abstraction\, concepts that we learn from a limited number of examples can be extended to a potentially infinite set of new and unanticipated situations. Abstract concepts can also be more easily taught to others by demonstration. \nI will present work that gives robots the ability to acquire a variety of manipulation concepts that act as mental representations of verbs in a natural language instruction. We propose to use learning from human demonstrations of manipulation actions as recorded in large-scale video data sets that are annotated with natural language instructions. In extensive simulation experiments\, we show that the policy learned in the proposed way can perform a large percentage of the 78 different manipulation tasks on which it was trained. We show that this multi-task policy generalizes over variations of the environment. We also show examples of successful generalization over novel but similar instructions. \nI will also present work that enables a robot to sequence these newly acquired manipulation skills for long-horizon task planning. Specifically\, I will focus on work that uses the same human video demonstrations annotated with natural language to ground symbolic pre- and postconditions of manipulation skills in visual data. I will show how this enables closed-loop task planning involving a large variety of skills\, objects and their symbolic states. \nI will close this talk by discussing the lessons learned and interesting open questions that still remain. \n— \nJeannette Bohg is an Assistant Professor of Computer Science at Stanford University. She was a group leader at the Autonomous Motion Department (AMD) of the MPI for Intelligent Systems until September 2017. Before joining AMD in January 2012\, Jeannette Bohg was a PhD student at the Division of Robotics\, Perception and Learning (RPL) at KTH in Stockholm. In her thesis\, she proposed novel methods towards multi-modal scene understanding for robotic grasping. She also studied at Chalmers in Gothenburg and at the Technical University in Dresden where she received her Master in Art and Technology and her Diploma in Computer Science\, respectively. \nHer research focuses on perception and learning for autonomous robotic manipulation and grasping. She is specifically interested in developing methods that are goal-directed\, real-time and multi-modal such that they can provide meaningful feedback for execution and learning. Jeannette Bohg has received several Early Career and Best Paper awards\, most notably the 2019 IEEE Robotics and Automation Society Early Career Award and the 2020 Robotics: Science and Systems Early Career Award. \n— \nAbout the Lecture: The Yata Memorial Lecture in Robotics is part of the School of Computer Science Distinguished Lecture Series. Teruko Yata was a postdoctoral fellow in the Robotics Institute from 2000 until her untimely death in 2002. After graduating from the University of Tsukuba\, working under the guidance of Prof. Yuta\, she came to the United States. At Carnegie Mellon\, she served as a post-doctoral fellow in the Robotics Institute for three years\, under Chuck Thorpe. Teruko’s accomplishments in the field of ultrasonic sensing were highly regarded and won her the Best Student Paper Award at the International Conference on Robotics and Automation in 1999. It was frequently noted\, and we always remember\, that “the quality of her work was exceeded only by her kindness and thoughtfulness as a friend.” Join us in paying tribute to our extraordinary colleague and friend through this most unique and exciting lecture. \nLink to Poster
URL:https://www.ri.cmu.edu/event/teruka-yata-memorial-lecture/
LOCATION:Rashid Auditorium – 4401 Gates and Hillman Centers
CATEGORIES:SCS Distinguished Lecture,Seminar,Special Events
ATTACH;FMTTYPE=image/png:https://www.ri.cmu.edu/app/uploads/2022/03/Jeannette-Bohg.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190411T120000
DTEND;TZID=America/New_York:20190411T133000
DTSTAMP:20260717T072113
CREATED:20190207T174715Z
LAST-MODIFIED:20190429T174715Z
UID:110995-1554984000-1554989400@www.ri.cmu.edu
SUMMARY:Teruko Yata Memorial Lecture - Understanding Human Behavior for Robotic Assistance and Collaboration
DESCRIPTION:Speaker: Henny Admoni\, Assistant Professor\, Robotics Institute Carnegie Mellon University\nTitle: Understanding Human Behavior for Robotic Assistance and Collaboration\n.\nHuman-robot collaboration has the potential to transform the way people work and live. Researchers are currently developing robots that assist people in public spaces\, on the job\, and in their homes. To be effective assistants\, these robots must be able to recognize aspects of their human partners such as what their goals are\, what their next action will be\, and when they need help—in short\, their task-relevant mental states. A large part of communication about mental states occurs nonverbally\, through eye gaze\, gestures\, and other behaviors that provide implicit information. Therefore\, to be effective collaborators\, robots must understand nonverbal human communication as well as generate sufficiently expressive nonverbal behaviors that are understandable by their human partners. Developing effective human-robot interactions requires a multidisciplinary approach that involves fundamental robotics algorithms\, insights from human psychology\, and techniques from artificial intelligence\, machine learning\, and computer vision. In this talk\, I will describe my work on robots that collaborate with and assist humans on complex tasks\, such as eating a meal. I will show how robots can guide human action using nonverbal behaviors\, and how natural\, intuitive human behaviors can reveal human mental states that robots must respond to. Throughout the talk\, I will describe how techniques and knowledge from cognitive science help us develop robot algorithms that lead to more effective interactions between people and their robot partners.\n\nBio:\nHenny Admoni is an Assistant Professor in the Robotics Institute at Carnegie Mellon University\, where she leads the Human And Robot Partners (HARP) Lab. Henny studies how to develop intelligent robots that can assist and collaborate with humans on complex tasks like preparing a meal. She is most interested in how natural human behavior\, like where someone is looking\, can reveal underlying human mental states and can be used to improve human-robot interactions. Henny’s research has been supported by the US National Science Foundation\, the US Office of Naval Research\, the Paralyzed Veterans of America Foundation\, and Sony Corporation. Her work has been featured by the media such as NPR’s Science Friday\, Voice of America News\, and WESA radio.\nAbout the Lecture: The Yata Memorial Lecture in Robotics is part of the School of Computer Science Distinguished Lecture Series. Teruko Yata was a postdoctoral fellow in the Robotics Institute from 2000 until her untimely death in 2002. After graduating from the University of Tsukuba\, working under the guidance of Prof. Yuta\, she came to the United States. At Carnegie Mellon\, she served as a post-doctoral fellow in the Robotics Institute for three years\, under Chuck Thorpe. Teruko’s accomplishments in the field of ultrasonic sensing were highly regarded and won her the Best Student Paper Award at the International Conference on Robotics and Automation in 1999. It was frequently noted\, and we always remember\, that “the quality of her work was exceeded only by her kindness and thoughtfulness as a friend.” Join us in paying tribute to our extraordinary colleague and friend through this most unique and exciting lecture. \n  \nA School of Computer Science Distinguished Lecture\nRashid Auditorium – 4401 Gates and Hillman Centers\nPre-registration is required.\nBox lunches will be available for those who register by April 8.
URL:https://www.ri.cmu.edu/event/teruko-yata-memorial-lecture/
LOCATION:Gates-Hillman Center 4401
CATEGORIES:SCS Distinguished Lecture,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ri.cmu.edu/app/uploads/2017/03/NRW.jpg
ORGANIZER;CN="Debra Tobin":MAILTO:dmz@cs.cmu.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20171012T163000
DTEND;TZID=America/New_York:20171012T180000
DTSTAMP:20260717T072113
CREATED:20171010T174248Z
LAST-MODIFIED:20171012T184758Z
UID:101205-1507825800-1507831200@www.ri.cmu.edu
SUMMARY:Terrestrial and Extraterrestrial Robotics in the Age of Autonomy
DESCRIPTION:Liam Pedersen leads the autonomous vehicle group at Nissan’s Research Center in Silicon Valley\, focusing on the AI software for driverless operations in urban areas.  Prior to this he worked on robotic systems for planetary exploration at NASA’s Ames Research Center in California.  He holds a Ph.D. in robotics from Carnegie Mellon University\, and is the recipient of NASA’s Public Service Medal. Reception to Follow.\n\n\n\nFor More Information\, Please Contact: scs-dls@cs.cmu.edu\n\n\nSCS Distinguished Lecture: In conjunction with UC10
URL:https://www.ri.cmu.edu/event/terrestrial-extraterrestrial-robotics-age-autonomy/
LOCATION:Rashid Auditorium 4401
CATEGORIES:SCS Distinguished Lecture,Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ri.cmu.edu/app/uploads/2017/10/SCS-Dragon.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20081010T153000
DTEND;TZID=America/New_York:20081010T153000
DTSTAMP:20260717T072113
CREATED:20190617T003313Z
LAST-MODIFIED:20190618T155700Z
UID:113733-1223652600-1223652600@www.ri.cmu.edu
SUMMARY:Toward Steerable Cannula and Legged Capsule Robots in Medicine
DESCRIPTION:Event Location:  NSH 1305Bio: Robert (Bob) J. Webster III received his B.S. in Electrical Engineering from Clemson University in 2002\, and his M.S. and Ph.D. in Mechanical Engineering from Johns Hopkins Univeristy in 2004 and 2007\, respectively.  At Johns Hopkins he was affiliated with the Haptics\, LIMBS\, and CISST-ERC laboratories. He has pursued research as a visiting scholar at University of Newcastle\, Australia\, Scuola Superiore Sant’Anna\, Italy\, and the Savannah River Site (a Department of Energy Laboratory).  He joined the faculty of the Vanderbilt University Mechanical Engineering Department in January 2008\, where he directs the Medical & Electromechanical Design (MED) Laboratory.  Professor Webster’s research interests are in electromechanical design\, modeling\, and control\, particularly as applied to medical systems. His research involves image-guided surgery\, medical robotics\, thin flexible snake-like manipulators\, and steerable needles. He is also developing pill-sized swallowable legged robots and haptic human-machine interfaces for surgical training and teleoperation. \nAbstract: Steerable Needles and Active Cannulas are new robotic devices that have the potential to reach previously inoperable disease sites under image guidance. Thin and dexterous\, these mm-scale “tentacle-like” robots elastically wind around and through delicate anatomy\, minimizing damage. I will also describe recent work toward building legged endoscopic “pill-cam” robots that will be swallowable and capable of locomotion and/or direct surgical intervention in the GI tract. For each of the above systems\, I will present recent results at the Vanderbilt Medical and Electromechanical Design Lab on design\, kinematic modeling\, and control\, highlighting the non-traditional ways we utilize physical principles to achieve dexterous robotic motion.
URL:https://www.ri.cmu.edu/event/toward-steerable-cannula-and-legged-capsule-robots-in-medicine/
CATEGORIES:RI Seminar,SCS Distinguished Lecture,Seminar
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