Proposal
SUMMER SCHOOL ON ROBOT GRASPING
This summer school aims to provide a theoretical and practical introduction to the field of robot grasping. The summer will be mainly oriented to young students which are aiming to develop a thesis on the field, though other researchers will also be welcomed.
It will follow a multi-perspective approach ranging from analytical to biologically inspired approaches and from the mechanical design level to the cognitive point of view. The purpose will be to provide attendants an introduction of the fundamentals on each topic and an overview of the current trends on every topic. The topics will include among others:
- Mechanics of grasping, contact models, and grasp analysis.
- Design and building of robot hands.
- Control of robot hands.
- Vision for grasping.
- The sense of touch on robot hands.
- Neurology and physiology of human grasping.
- Learning and developmental robot grasping.
- Cognitive views of robot grasping.
- Computer simulation and robot grasping.
The school will last five days and will be structured in about a dozen of one-hour lectures of varied topics, At least one day will be devoted to practical exercises. This exercises will be carried out on a simulation platform.
Student will be have the opportunity to benefit form the personal interaction among colleagues and the easy access to world-class researchers. Actually interaction and discussion between students and with lecturers will be specially encouraged.
The ideal number of attendants will be around 30, but depending on the demand higher numbers can be allowed.
The summer school is planned to take place in Benicassim, near Castellon in Spain, a touristic village in the Mediterranean coast with excellent resorts. Practical exercises will take place in the Campus of Universitat Jaume I, site of the Robotics Intelligence Group.
The planned dates is the first or second half of September 2010, depending on hotel availability.
The main organizers are Antonio Morales and Tamim Asfour with the support of EU funded GRASP project.
