Ricardo Martins

We study how humans manipulate simple daily objects, and construct a probabilistic representation model for the tasks and objects useful for autonomous grasping and manipulation by robotic hands. Expand

This work contributes to the development of active haptic exploration strategies of surfaces using robotic hands in environments with an unknown structure. Expand

This work presents a representation of 3D object shape using a probabilistic volumetric map derived from in- hand exploration. Expand

This work intends to contribute to the development of autonomous dexterous robotic hands by presenting an approach to describe the mechanisms underlying the human strategies during the execution of in-hand manipulation tasks. Expand

Seizure prediction for untreatable epileptic patients, one of the major challenges of present neuroinformatics researchers, will allow a substantial improvement in their safety and quality of life. Expand

This text presents the integration of touch attention mechanisms to improve the efficiency of the action-perception loop, typically involved in active haptic exploration tasks of surfaces by robotic hands. Expand

This work relies on a probabilistic framework to search for suitable grasping regions given an object model and the context since we acquire relevant observed information on how to grasp an object. Expand

In vision, perceptual features are processed in several regions distributed across the brain. Expand