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…
SINRL: Socially Integrated Navigation with Reinforcement Learning using Spiking Neural Networks
Florian Tretter, Daniel Flögel, Alexandru Vasilache +3
Integrating autonomous mobile robots into human environments requires human-like decision-making and energy-efficient, event-based computation. Despite progress, neuromorphic metho…
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…
Disentangling Coordiante Frames for Task Specific Motion Retargeting in Teleoperation using Shared Control and VR Controllers
Max Grobbel, Daniel Flögel, Philipp Rigoll +1
Task performance in terms of task completion time in teleoperation is still far behind compared to humans conducting tasks directly. One large identified impact on this is the huma…