Universität Bielefeld › Technische Fakultät › NI
Within recent 30 years, we have witnessed the progress of dexterous robotic hands from its designing and controlling aspects. However, how to use these advanced robot hands to implement skillful tasks like human are still very challengeable. Our expectations on the use of the robotic hands are rather high, the use cases in the robotic application are very few. We are considering the following three challenges for available robotic hands:
In order to solve the aforementioned challenges, one solution will be merging the newest findings in neuroscience, cognitive science, machine representation and learning domains, e.g. how human are using their hands skillfully and how human are using their hands as an important recognition tool to explore and learn the unknown world. We believe this can lead to the real “manual intelligence” which not only can largely improve dexterous control of the robotic hand but also exploiting the robotic hand’s action-perception loop to autonomously understand the unstructural environment.
Within this workshop we will bring together experts from the different domains, e.g. the developers of dexterous hands, control scientists focusing on grasping, planning and computer scientists studying machine learning to discuss progress and challenges of hand’s dexterous manipulation, foster potential collaborations, and reinforce the strict link among such interdisciplinary research fields to facilitate progress in this community.
Central to the discussion will be three key questions:
The workshop topics include but are not limited in the following