no code implementations • 11 Dec 2020 • Julen Urain, Davide Tateo, Tianyu Ren, Jan Peters
We present a new family of deep neural network-based dynamic systems.
1 code implementation • 9 Mar 2021 • Tianyu Ren, Georgia Chalvatzaki, Jan Peters
Moreover, we effectively combine this skeleton space with the resultant motion variable spaces into a single extended decision space.
no code implementations • 20 Mar 2022 • Lei Xu, Tianyu Ren, Georgia Chalvatzaki, Jan Peters
Task and Motion Planning (TAMP) provides a hierarchical framework to handle the sequential nature of manipulation tasks by interleaving a symbolic task planner that generates a possible action sequence, with a motion planner that checks the kinematic feasibility in the geometric world, generating robot trajectories if several constraints are satisfied, e. g., a collision-free trajectory from one state to another.