WEBINARS

In the recent webinar, Murtaza, a final-year PhD Candidate at Carnegie Mellon University, focused on building generalist robot systems by integrating modularity with large-scale learning. He explained how combining modular planning, learned control, and scene generation enables robots to perform complex, multi-stage tasks from text instructions. This approach addressed key challenges in robotics, such as multimodality, limited data, and safety concerns, pushing the limits of robot capabilities for diverse, real-world applications.

In our latest webinar, together with our guest speaker Robin Jeanne Kirschner, Research Assistant at the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich, we shared insights from her research on concepts for physical and cognitive safety in human-robot interaction and assessing robots' ability for tactile interaction. Robin provided an in-depth look at how databases can be developed to understand human safety and evaluate robots' features and application designs for physical interactions, ensuring safe interaction with the environment.