June 2024 - Robotics-seminar - Engineering Mailing Lists

Robotics Seminar 6/12: Tesla Fitzgerald (Yale University)
by Smart, William 11 Jun '24

11 Jun '24

Roboticists, A reminder to join us for a bonus robotics seminar tomorrow from Tesca Fitzgerald from Yale University, who will be talking about Getting Robots to Ask Good Questions. There will be coffee and cake, as usual. Note that this will be in a different room (Rogers 226) on a different day (6/12, Wednesday) that our usual seminars. Tesca is an Oregon native, back in the state for some family stuff, and generously offered to stop by and give talk while she’s in the area. It’s a big week for defenses, but please try to make it to one more talk. Rogers 226, Wednesday 6/12 cheers -- Bill Getting Robots to Ask Good Questions Tesca Fitzgerald, Yale University Abstract: We interact with AI everyday through voice assistants, spam filters, content recommenders, and more. While AI becomes increasingly commonplace, development in robotics has followed a different trend, finding traction in highly-specialized settings such as manufacturing and surgery. What is keeping us from developing robots that can help us in our everyday lives, such as around the home or the workplace? A key challenge is that, unlike disembodied AI, robots must accommodate the physical and sensory complexity of the real world. This is further complicated by the peculiarities of every home, task, object, or routine that a robot may need to accommodate. My research takes a collaborative lens toward this problem: by enabling a robot to ask for help, it can leverage a human’s experience and domain knowledge. In this talk, I will describe how robots can reason about their uncertainty and learn from various forms of interaction. In doing so, my work contributes toward the ultimate goal of enabling robots to ask and learn from useful questions, leading toward a future of collaborative robots. Bio: Dr. Tesca Fitzgerald is an Assistant Professor in the Department of Computer Science at Yale University. Her research is centered around interactive robot learning, with the aim of developing robots that are adaptive, robust, and collaborative when faced with novel situations. Before joining Yale, Dr. Fitzgerald was a Postdoctoral Fellow at Carnegie Mellon University, received her PhD in Computer Science at Georgia Tech, and completed her B.Sc at Portland State University. She is an NSF Graduate Research Fellow (2014), Microsoft Graduate Women Scholar (2014), and IBM Ph.D. Fellow (2017).

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Robotics Seminar 6/7: An Itchiness of ICRA Papers, and a Mass of AAMAS Papers
by Smart, William 06 Jun '24

06 Jun '24

Roboticists, A reminder to join us tomorrow for the last official seminar of the 2023/24 academic year. To celebrate the end of the year, we’re going to have six, yes six, short presentations of work recently published at either AAMAS or ICRA by members of the Robotics Program. Coffee and cake, of course. Come and support your colleagues and see some of the awesome work that’s going on around you. There will be one more bonus seminar this term, next Wednesday 6/12, likely in the afternoon, when Tesca Fitzgerald from Yale will be in town. If you know of a hard conflict on Wednesday, let me know and we’ll try to work around it. cheers -- Bill An Itchiness of ICRA Papers, and a Mass of AAMA Papers The last official seminar of the 2023/24 academic year will be a celebration of some of the work that the Robotics Program published at the AAMAS 2024 and ICRA 2024 conferences. * Learning Vision-Based Bipedal Locomotion for Challenging Terrain, Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart van Marum, Jeremy Dao, Chanho Kim, Alan Fern. Presented by Mohit Gadda * WAVE: An open-source underWater Arm-Vehicle Emulator, Marcus Rosette, Hannah Kolano, Chris Holm, Geoffrey A. Hollinger, Aaron Marburg, Madison Pickett, Joseph R. Davidson. Presented by Marcus Rosette * Dynamic evaluation of a suction-based gripper for fruit picking using a physical twin, Alejandro Velasquez, Cindy Grimm, Joseph R. Davidson. Presented by Alejo Velasquez * Influence-Focused Asymmetric Island Model, Andrew Festa, Gaurav Dixit, Kagan Tumer. Presented by Gaurav Dixit * Sim-to-Real Learning for Humanoid Box Loco-Manipulation, Jeremy Dao, Helei Duan, Alan Fern. Presented by Jeremy Dao * Indirect Credit Assignment in a Multiagent System, Everardo Gonzalez, Siddarth Viswanathan, Kagan Tumer. Presented by Sidd Viswanathan

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Bonus seminar next week
by Smart, William 05 Jun '24

05 Jun '24

Roboticists, I made a mistake on the poster for the seminar next week. The seminar is on Wednesday at 2:30, rather than our usual Friday at 10am slot. There will also be a grad student session from 3:30 pm to 4:30pm. The corrected poster is attached. cheers -- Bill

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Bonus Robotics Seminar 6/12: Tesca Fitzgerald (Yale University)
by Smart, William 05 Jun '24

05 Jun '24

Roboticists, Join us for a bonus robotics seminar from Tesca Fitzgerald from Yale University, who will be talking about Getting Robots to Ask Good Questions. There will be coffee and cake, as usual. Note that this will be in a different room (Rogers 226) on a different day (6/12, Wednesday) that our usual seminars. Tesca is an Oregon native, back in the state for some family stuff, and generously offered to stop by and give talk while she’s in the area. It’s a big week for defenses, but please try to make it to one more talk. Rogers 226, Wednesday 6/12 cheers -- Bill Getting Robots to Ask Good Questions Tesca Fitzgerald, Yale University Abstract: We interact with AI everyday through voice assistants, spam filters, content recommenders, and more. While AI becomes increasingly commonplace, development in robotics has followed a different trend, finding traction in highly-specialized settings such as manufacturing and surgery. What is keeping us from developing robots that can help us in our everyday lives, such as around the home or the workplace? A key challenge is that, unlike disembodied AI, robots must accommodate the physical and sensory complexity of the real world. This is further complicated by the peculiarities of every home, task, object, or routine that a robot may need to accommodate. My research takes a collaborative lens toward this problem: by enabling a robot to ask for help, it can leverage a human’s experience and domain knowledge. In this talk, I will describe how robots can reason about their uncertainty and learn from various forms of interaction. In doing so, my work contributes toward the ultimate goal of enabling robots to ask and learn from useful questions, leading toward a future of collaborative robots. Bio: Dr. Tesca Fitzgerald is an Assistant Professor in the Department of Computer Science at Yale University. Her research is centered around interactive robot learning, with the aim of developing robots that are adaptive, robust, and collaborative when faced with novel situations. Before joining Yale, Dr. Fitzgerald was a Postdoctoral Fellow at Carnegie Mellon University, received her PhD in Computer Science at Georgia Tech, and completed her B.Sc at Portland State University. She is an NSF Graduate Research Fellow (2014), Microsoft Graduate Women Scholar (2014), and IBM Ph.D. Fellow (2017).

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Robotics Seminar 6/7: An Itchiness of ICRA Papers and a Mass of AAMAS Papers
by Smart, William 03 Jun '24

03 Jun '24

Roboticists, Join us for the last official seminar of the 2023/24 academic year. To celebrate the end of the year, we’re going to have six, yes six, short presentations of work recently published at either AAMAS or ICRA by members of the Robotics Program. Coffee and cake, of course. Come and support your colleagues and see some of the awesome work that’s going on around you. There will be one more bonus seminar this term, next Wedesday 6/12, likely in the afternoon, when Tesca Fitzgerald from Yale will be in town. If you know of a hard conflict on Wednesday, let me know and we’ll try to work around it. cheers -- Bill An Itchiness of ICRA Papers, and a Mass of AAMA Papers The last official seminar of the 2023/24 academic year will be a celebration of some of the work that the Robotics Program published at the AAMAS 2024 and ICRA 2024 conferences. * Learning Vision-Based Bipedal Locomotion for Challenging Terrain, Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde, Bart van Marum, Jeremy Dao, Chanho Kim, Alan Fern. Presented by Mohit Gadda * WAVE: An open-source underWater Arm-Vehicle Emulator, Marcus Rosette, Hannah Kolano, Chris Holm, Geoffrey A. Hollinger, Aaron Marburg, Madison Pickett, Joseph R. Davidson. Presented by Marcus Rosette * Dynamic evaluation of a suction-based gripper for fruit picking using a physical twin, Alejandro Velasquez, Cindy Grimm, Joseph R. Davidson. Presented by Alejo Velasquez * Influence-Focused Asymmetric Island Model, Andrew Festa, Gaurav Dixit, Kagan Tumer. Presented by Gaurav Dixit * Sim-to-Real Learning for Humanoid Box Loco-Manipulation, Jeremy Dao, Helei Duan, Alan Fern. Presented by Jeremy Dao * Indirect Credit Assignment in a Multiagent System, Everardo Gonzalez, Siddarth Viswanathan, Kagan Tumer. Presented by Sidd Viswanathan

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