Train What You Know – Precise Pick-and-Place with Transporter Networks
Author:
Affiliation:
1. Institute of Applied Research, Karlsruhe University of Applied Sciences,Robotics and Autonomous Systems,Karlsruhe,Germany,76133
2. Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology,Karlsruhe,Germany,76131
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161242.pdf?arnumber=10161242
Reference24 articles.
1. Learning to manipulate deformable objects without demonstrations;wu;ArXiv Preprint,2019
2. Scikit-learn: Machine learning in Python;pedregosa;Journal of Machine Learning Research,2011
3. Pick and Place Without Geometric Object Models
4. Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks
5. “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer
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2. Gradient Based Grasp Pose Optimization on a NeRF that Approximates Grasp Success;Lecture Notes in Networks and Systems;2024
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