3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.RO2023★ 3 cited
Efficient Learning of Fast Inverse Kinematics with Collision Avoidance
Johannes Tenhumberg, Arman Mielke, Berthold Bäuml
Fast inverse kinematics (IK) is a central component in robotic motion planning. For complex robots, IK methods are often based on root search and non-linear optimization algorithms…
cs.LG2019★ 3 cited
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods
Luca Della Libera, Vladimir Golkov, Yue Zhu +2
Convolutional networks are successful due to their equivariance/invariance under translations. However, rotatable data such as images, volumes, shapes, or point clouds require proc…