Machine Learning, Robotics, Tactile Exploration, Control
TU Darmstadt, FG IAS,
Hochschulstr. 10, 64289 Darmstadt
Office. Room E323, Building S2|02
Before that, he got his Master Degree in Electrical and Computer Engineering at Instituto Superior Técnico (translates roughly into Higher Technical Institute) in Lisbon, Portugal. There he completed his Master Thesis on Robotic Grasp Optimization from Contact Force Analysis under the supervision of Alexandre Bernardino and José Santos-Victor.
Robotic Grasping and Manipulation has been quite a popular topic in the Robotics research community. While Grasping is now possible for robots with simple gripper end-effectors, robots equipped with dexterous manipulators still struggle to perform grasping tasks. Dexterity also adds the possibility of manipulating the grasped objects within the hand. Having robots grasping and manipulating objects in order to execute tasks or help a human with his task would allow robots into all sorts of new interesting settings. Using Machine Learning and exploring Tactile feedback, Filipe expects to tackle some of these challenging topics during his PhD.
Robotics, Control, Machine Learning, Artificial Intelligence, Robot Grasping, Robot Manipulation, Tactile Exploration, Event Based Control, Learning from Unstructured Data, Feature Learning, Pattern Recognition.