In this paper, we propose symmetry-based exploration to learn ISMs for the entire configuration space effectively by exploring a small part of it and exploiting ...
Oct 23, 2018 · Learning (inverse) kinematics and dynamics models of dexterous robots for the entire action or observation space is challenging and costly.
Learning Inverse Statics Models Efficiently With Symmetry-Based ...
www.ncbi.nlm.nih.gov › PMC6206748
This strategy drastically reduces the number of samples required for learning inverse statics models. Moreover, we demonstrate that exploiting symmetries for ...
Oct 22, 2024 · We propose an efficient approach to learn inverse statics models - primarily for gravity compensation - by exploring only a small part of the configuration ...
It is demonstrated that the number of samples required for learning inverse statics mappings for 2R and 3R manipulators can be reduced at least by factors ...
Oct 17, 2017 · Moreover, we exploit symmetries in the inverse statics mappings to drastically reduce the number of samples required for learning inverse ...
Missing: Based Exploration.
To learn inverse statics mappings – primarily for gravity compensation – from scratch and without using any closed-loop controller, we modify and enhance the ...
This paper therefore discusses three major points: learning efficiently, learning inverse statics models, and online goal-directed approaches. This section ...
Co-authors ; Learning inverse statics efficiently with Symmetry-based exploration. R Rayyes, D Kubus, J Steil. Frontiers in Neurorobotics, 2018. 15, 2018.
Jul 30, 2018 · We propose an efficient approach to learn inverse statics models - primarily for gravity compensation - by exploring only a small part of the ...