4 accepted papers
This article presents an impact-aware manipulation framework for logistics, where growing e-commerce demands have increased the need for faster and more flexible package handling solutions. The proposed framework addresses swiftly grabbing and placing objects in depalletizing tasks with dual-arm rob…
The author list in [1] is updated by adding André Schakkal, due to his contribution to the work.
This letter presents a data collection framework and a learning model to understand the motion of an object after being subject to an impulse. The data collection framework consists of an automated dual arm setup hitting an object to each other, like a collaborative air-hockey game. An impact aware
Humans excel at physical interaction despite long feedback delays and low-bandwidth actuators. Yet little is known about how humans manage physical interaction. A quantitative understanding of how they do is critical for designing machines that can safely and effectively interact with humans, e.g. a