Month: September 2020
Master thesis on “Hybrid learning and control for human-robot interaction: an imitation learning perspective”
The goal of this project is to exploit more comprehensive information from humans, in order to learn as many skill patterns from humans as possible according to the tasks at hand.
Assignment on “Orientation Learning and Adaptation in Cartesian Space”
The goal of this assignment is to understand the KMP and to implement a C++ code for the kernelized treatment of orientation data in real setup.
Assignment on “Geometry-aware Dynamic Movement Primitives”
The goal of this assignment is to understand dynamic movement primitives in the context of geometry awareness and provide a C++ code for the algorithm.
Master thesis on “People flow maps for indoor robot navigation”
This thesis goal is to develop a probabilistic approach for building and updating people flow maps able to help the robot being socially-aware while navigating by predicting people movement.
Cloth folding with deep reinforcement learning
Robotics Seminar Series. Tenth Session – 11th September 2020. Speaker: Julius Hietala