36 citations · 197 across the 41 of their papers we have counts for
119 papers
Accelerating Interactive Human-like Manipulation Learning with GPU-based Simulation and High-quality Demonstrations
Malte Mosbach, Kara Moraw, Sven Behnke
Dexterous manipulation with anthropomorphic robot hands remains a challenging problem in robotics because of the high-dimensional state and action spaces and complex contacts. Neve…
Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels
Arul Selvam Periyasamy, Luis Denninger, Sven Behnke
Object pose estimation is a necessary prerequisite for autonomous robotic manipulation, but the presence of symmetry increases the complexity of the pose estimation task. Existing…
State Estimation for Hybrid Locomotion of Driving-Stepping Quadrupeds
Mojtaba Hosseini, Diego Rodriguez, Sven Behnke
Fast and versatile locomotion can be achieved with wheeled quadruped robots that drive quickly on flat terrain, but are also able to overcome challenging terrain by adapting their…
Object-level 3D Semantic Mapping using a Network of Smart Edge Sensors
Julian Hau, Simon Bultmann, Sven Behnke
Autonomous robots that interact with their environment require a detailed semantic scene model. For this, volumetric semantic maps are frequently used. The scene understanding can…
Efficient Representations of Object Geometry for Reinforcement Learning of Interactive Grasping Policies
Malte Mosbach, Sven Behnke
Grasping objects of different shapes and sizes - a foundational, effortless skill for humans - remains a challenging task in robotics. Although model-based approaches can predict s…
Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation
Simon Bultmann, Jan Quenzel, Sven Behnke
Unmanned aerial vehicles (UAVs) equipped with multiple complementary sensors have tremendous potential for fast autonomous or remote-controlled semantic scene analysis, e.g., for d…