1 citations · 1 across the 3 of their papers we have counts for
3 papers
Imitation Learning-based Visual Servoing for Tracking Moving Objects
Rocco Felici, Matteo Saveriano, Loris Roveda +1
In everyday life collaboration tasks between human operators and robots, the former necessitate simple ways for programming new skills, the latter have to show adaptive capabilitie…
Teaching contact-rich tasks from visual demonstrations by constraint extraction
Christian Hegeler, Filippo Rozzi, Loris Roveda +1
Contact-rich manipulation involves kinematic constraints on the task motion, typically with discrete transitions between these constraints during the task. Allowing the robot to de…
Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels
Le Anh Dao, Loris Roveda, Marco Maccarini +8
Black-box optimization refers to the optimization problem whose objective function and/or constraint sets are either unknown, inaccessible, or non-existent. In many applications, e…