Speakers
Description
This talk provides an overview of recent research in the area of Embodied AI at Lamarr. Embodied Artificial Intelligence refers to AI that is embedded in physical systems, such as robots, and can interact with the surroundings. In contrast to classic Machine Learning in robotics, embodied AI encapsulates all aspects of interacting and learning in an environment: from perception, via understanding, reasoning, and planning to execution respectively manipulation. This field brings together various disciplines, including computer vision, environment modeling, prediction, planning, and control, reinforcement learning, physics-based simulation, and robotics.
Throughout the presentation, we will explore the goals and recent achievements in Embodied AI, showcase some breakthrough results, and discuss opportunities to collaborate in this vibrant area of research. Join us to learn more about how Embodied AI is shaping the future of intelligent systems and how you can get involved.
