December 2, 2022 @ 10:30 am - 11:45 am Fall 2022 GRASP on Robotics: Matthew Johnson-Roberson, Carnegie Mellon University, “Lessons from the Field: Deep Learning and Machine Perception for field robots”
December 9, 2022 @ 10:30 am - 11:45 am Fall 2022 GRASP on Robotics: David Fouhey, University of Michigan, “Understanding the Physical World from Images”
January 27, 2023 @ 10:30 am - 11:45 am Spring 2023 GRASP on Robotics: Frank Dellaert, Georgia Tech, “Factor Graphs for Perception and Action”
February 10, 2023 @ 10:30 am - 11:45 am Spring 2023 GRASP on Robotics: Rodney Brooks, Robust.AI, “Academic research: exploration vs exploitation”
February 17, 2023 @ 10:30 am - 11:45 am Spring 2023 GRASP on Robotics: Jeremy D. Brown, Johns Hopkins University, “Understanding the Utility of Haptic Feedback in Telerobotic Devices”
February 24, 2023 @ 10:30 am - 11:45 am Spring 2023 GRASP on Robotics: Jitendra Malik, University of California at Berkeley, “Robots that Learn and Adapt”
March 3, 2023 @ 10:30 am - 11:45 am Spring 2023 GRASP on Robotics: Jeannette Bohg, Stanford University, “Scaling Robot Learning for Long-Horizon Manipulation Tasks with Language, Logic and Youtube”
March 17, 2023 @ 10:30 am - 11:45 am Spring 2023 GRASP on Robotics: Emilio Frazzoli, ETH Zürich, “A self-contained karma economy for socially efficient and equitable autonomy”
March 24, 2023 @ 10:30 am - 11:45 am Spring 2023 GRASP on Robotics: John Suh, Hyundai New Horizons Studio, “Ultimate mobility vehicles or what happens when you combine robotics and car design”
March 31, 2023 @ 10:30 am - 11:45 am Spring 2023 GRASP on Robotics: Pulkit Agrawal, MIT, “Fun with Robots and Machine Learning”
April 13, 2023 @ 3:30 pm - 5:00 pm Spring 2023 GRASP on Robotics: Luca Carlone, MIT, “Next-Generation Robot Perception: Hierarchical Representations, Certifiable Algorithms, and Self-Supervised Learning”
April 21, 2023 @ 10:30 am - 11:45 am Spring 2023 GRASP on Robotics: Vivienne Sze, MIT, “Efficient Computing for Autonomy and Navigation”