Endowing robots with tactile capabilities opens up new possibilities for...
Constraining the approach direction of grasps is important when picking
...
Most state-of-the-art data-driven grasp sampling methods propose stable ...
Evaluation of grasps on deformable 3D objects is a little-studied proble...
Recent advancements in object shape completion have enabled impressive o...
Grasp synthesis for 3D deformable objects remains a little-explored topi...
Grasping deformable objects is not well researched due to the complexity...
Recent advances in multi-fingered robotic grasping have enabled fast
6-D...
While there exists a large number of methods for manipulating rigid obje...
Manipulating unknown objects in a cluttered environment is difficult bec...
Current end-to-end grasp planning methods propose grasps in the order of...
Safe yet stable grasping requires a robotic hand to apply sufficient for...
We present a method for planning robust grasps over uncertain shape comp...
Policy search reinforcement learning allows robots to acquire skills by
...
Estimating the uncertainty of predictions is a crucial ability for robot...
We present a Learning from Demonstration method for teaching robots to
p...
Many mobile robots rely on 2D laser scanners for localization, mapping, ...