June 9, 2023 @ 10:30 am - 11:45 am Spring 2023 GRASP on Robotics: Pauline Pounds, The University of Queensland, “Drones, Bipeds and Sensors – 10 Years of the UQ Robotics Design Lab”
September 29, 2023 @ 10:30 am - 11:45 am Fall 2023 GRASP on Robotics: Stefano Soatto, AWS & UCLA, “Toward Foundational Models of Physical Scenes: From Large Language Models to World Models and Back”
October 6, 2023 @ 10:30 am - 11:45 am Fall 2023 GRASP on Robotics: Al Rizzi, Boston Dynamics AI, “Developing Robots that are both Physically and Cognitively Capable”
October 20, 2023 @ 10:30 am - 11:45 am Fall 2023 GRASP on Robotics: Leslie Kaelbling, Massachusetts Institute of Technology, “Doing for our robots what nature did for us”
October 27, 2023 @ 10:30 am - 11:45 am Fall 2023 GRASP on Robotics: Nick Gravish, University of California, San Diego, “Adaptive robots through reconfiguration, compliance, and contact”
November 3, 2023 @ 10:30 am - 11:45 am Fall 2023 GRASP on Robotics: Julie Shah, Massachusetts Institute of Technology, “Effective Human-Machine Partnerships in High Stakes Settings”
November 10, 2023 @ 10:30 am - 11:45 am Fall 2023 GRASP on Robotics: Sunil Agrawal, Columbia University, “Rehabilitation Robotics: Improving Everyday Human Functions”
November 17, 2023 @ 10:30 am - 11:45 am Fall 2023 GRASP on Robotics: Seth Hutchinson, Georgia Institute of Technology, “Model-Based Methods in Today’s Data-Driven Robotics Landscape”
December 1, 2023 @ 10:30 am - 11:45 am Fall 2023 GRASP on Robotics: Nancy Amato, University of Illinois at Urbana-Champaign, “Sampling-Based Task and Motion Planning: From Robotic Manipulators to Intelligent CAD to Analyzing Proteins”
December 8, 2023 @ 10:30 am - 11:45 am Fall 2023 GRASP on Robotics: Marc Miskin, University of Pennsylvania, “Tiny Robots”
January 26, 2024 @ 10:30 am - 11:45 am Spring 2024 GRASP on Robotics: Dinesh Manocha, University of Maryland, College Park, “Robot Navigation in Complex Indoor and Outdoor Environments”
February 2, 2024 @ 10:30 am - 11:45 am Spring 2024 GRASP on Robotics: John Doyle, California Institute of Technology, “Control/Architecture/Control”