Speaker: Daniel Honerkamp
Mobile manipulation remains a critical challenge across both service and industrial settings and is a key component to visions such as household assistants. But for this it requires the combination of a wide range of capabilities, such as perception and exploration in unknown environments while controlling large, continuous action spaces for simultaneous navigation and manipulation.
In this talk I will first provide an overview of the main challenges and current benchmarks. I will then summarize and walk through the pipelines of current state-of-the-art approaches with a focus on both the high-level task learning and the low-level motion execution on robotic agents. Lastly, I will discuss potential paths forward and ways to integrate these low- and high-level components.