SDU Biorobotics spans a broad range of competences and research interests, including biorobotics, embodied neurorobotics, bio-inspired robotics, human-robot interaction, experimental robotics, human robotics, soft robotics, magnetic robotics, and computational neuroscience.
We design, build, and program new, innovative robots with Nature as a prime source of inspiration and use robots to understand nature. Some of our robots resemble legged animals and have rigid parts, while others are soft and squishy.
We investigate novel approaches to bio-inspired robot control and learning, including evolutionary computation, reinforcement learning, online neural correlation learning, as well as autonomous lifelong learning and adaptation.
We explore how to use soft materials for building robots with enhanced capabilities for interaction, improved embodied intelligence, and ultimately better performance in real-world tasks. Our hypotheses are tested on physical robots that walk, drive, crawl, swim or fly, as well as interact with humans and the environment.