1 citations · 1 across the 3 of their papers we have counts for
4 papers
From Transportation to Manipulation: Enabling Grasping in Magnetic Robotics
Lara Bergmann, Noah Greis, Cedric Grothues +2
Magnetic levitation (MagLev) systems have great potential for application in high-mix, low-volume manufacturing due to their scalability and flexibility, enabling highly reconfigur…
From Transportation to Manipulation: Transforming Magnetic Levitation to Magnetic Robotics
Lara Bergmann, Noah Greis, Klaus Neumann
Magnetic Levitation (MagLev) systems fundamentally increase the flexibility of in-machine material flow in industrial automation. Therefore, these systems enable dynamic throughput…
MagBotSim: Physics-Based Simulation and Reinforcement Learning Environments for Magnetic Robotics
Lara Bergmann, Cedric Grothues, Klaus Neumann
Magnetic levitation is about to revolutionize in-machine material flow in industrial automation. Such systems are flexibly configurable and can include a large number of independen…
Precision-Focused Reinforcement Learning Model for Robotic Object Pushing
Lara Bergmann, David Leins, Robert Haschke +1
Non-prehensile manipulation, such as pushing objects to a desired target position, is an important skill for robots to assist humans in everyday situations. However, the task is ch…