04.2018 - 12.2018 Master Thesis, Siemens AG - Corporate Technology: Mechatronic Systems Topic: Simulation-Based Reinforcement Learning of Complex Reflexes for Low-Level Robotic Systems
Inspired by human grasping and manipulation capabilities, we build anthropomorphic soft robotic hands with a high degree of dexterity to enable robust interactions with the environment. We develop new sensor technologies that work with the highly compliant hands, while still providing useful sensor feedback. At the same time, we further increase the robustness of soft hands by devising control methods that reduce perceptual, model, and motion uncertainty through haptic feedback.