Autonomous Systems Lab

Open Opportunities

Continual Learning for Novel Semantic Discovery ETH Zurich Autonomous Systems Lab The overarching goal of this project is to enable robots that can continually and autonomously learn from their environment by adapting to novel environments and learn to identify new object categories. The established approach of supervised learning on large datasets always has problems with domain and sim-to-real gaps. This line of work therefore represents a shift towards learning during the robot’s mission, naturally removing any domain gaps but also reducing the amount of supervision that can be applied. Intelligent Robotics Master Thesis, Semester Project

Robot Action Planning for Spreading and Leveling Fluid-like Materials ETH Zurich Autonomous Systems Lab Despite remarkable progress in robotic manipulation in recent years, manipulation of viscous fluids or granular materials, such as concrete, asphalt, or paint, remains a largely unsolved problem. The goal of this project is to investigate planning methods for basic fluid manipulation tasks such as spreading and leveling fluids on a surface. Engineering and Technology Master Thesis