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ZipFold: Modular Actuators for Scaleable Adaptive Robots
Niklas Hagemann, Daniela Rus
There is a growing need for robots that can change their shape, size and mechanical properties to adapt to evolving tasks and environments. However, current shape-changing systems…
AI-Enhanced Automatic Design of Efficient Underwater Gliders
Peter Yichen Chen, Pingchuan Ma, Niklas Hagemann +4
The development of novel autonomous underwater gliders has been hindered by limited shape diversity, primarily due to the reliance on traditional design tools that depend heavily o…
Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters
Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia +5
Accurate control of autonomous marine robots still poses challenges due to the complex dynamics of the environment. In this paper, we propose a Deep Reinforcement Learning (DRL) ap…