Embodied AI at LAMARR Institute for Machine Learning and Artificial Intelligence

Embodied AI at LAMARR Institute for Machine Learning and Artificial Intelligence

The Lamarr Institute, emerging from the ML2R project after expert evaluation, is dedicated to advancing high-performance, reliable, and efficient Machine Learning and AI. Aiming to make Germany and Europe leaders in AI research, education, and technology transfer, it now enjoys permanent funding from the Federal Ministry of Education and Research and the state of North Rhine-Westphalia.

Project Abstract

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 ML 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. Just as human learning is based on exploration and interaction with the environment, embodied agents must improve their behavior from experience. Thus, embodied AI brings together multiple fields, such as computer vision, environment modeling, and prediction, planning, and control, reinforcement learning, physics-based simulation, and robotics.

Project Start Date 1/1/22
Project End Date
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Motion Planning Lamarr