October 21, 2022 @ 10:30 am - 11:45 am Fall 2022 GRASP on Robotics: Jim Ostrowski, Blue River Technology, “Robotics and Deep Learning in Production Agriculture”
October 28, 2022 @ 10:30 am - 11:45 am Fall 2022 GRASP on Robotics: Daniel Hashimoto, University of Pennsylvania, “Building Multidisciplinary Teams for Surgical Translation of Artificial Intelligence”
November 4, 2022 @ 10:30 am - 11:45 am Fall 2022 GRASP on Robotics: Wenzhen Yuan, Carnegie Mellon University, “Making sense of the physical world with high-resolution tactile sensing”
November 11, 2022 @ 10:30 am - 11:45 am Fall 2022 GRASP on Robotics: Radhika Nagpal, Princeton University, “Towards Collective Artificial Intelligence”
November 18, 2022 @ 10:30 am - 11:45 am Fall 2022 GRASP on Robotics: Julie Adams, Oregon State University, “Towards Adaptive Human-Robot Teams: Workload Estimation”
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”