5 papers
Real-Time and Accurate Collision-Free Teleoperation via Differentiable Constraint-Based Trajectory Planning
Max Grobbel, Tristan Schneider, Daniel Flögel +1
In teleoperation, the human operator typically controls only the end-effector pose, which often leads to self-collisions of the manipulator and collisions with environmental obstac…
Rendezvous and Docking of Mobile Ground Robots for Efficient Transportation Systems
Lars Fischer, Daniel Flögel, Sören Hohmann
In-Motion physical coupling of multiple mobile ground robots has the potential to enable new applications like in-motion transfer that improves efficiency in handling and transferr…
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning
Daniel Flögel, Marcos Gómez Villafañe, Joshua Ransiek +1
Autonomous mobile robots are increasingly used in pedestrian-rich environments where safe navigation and appropriate human interaction are crucial. While Deep Reinforcement Learnin…
Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning
Daniel Flögel, Lars Fischer, Thomas Rudolf +2
Mobile robots are being used on a large scale in various crowded situations and become part of our society. The socially acceptable navigation behavior of a mobile robot with indiv…
ReACT: Reinforcement Learning for Controller Parametrization using B-Spline Geometries
Thomas Rudolf, Daniel Flögel, Tobias Schürmann +3
Robust and performant controllers are essential for industrial applications. However, deriving controller parameters for complex and nonlinear systems is challenging and time-consu…