Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators

no code implementations • 16 Jul 2020 • Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro

Developing personal robots that can perform a diverse range of manipulation tasks in unstructured environments necessitates solving several challenges for robotic grasping systems.

reinforcement-learning Reinforcement Learning (RL) +1

Chainer: A Deep Learning Framework for Accelerating the Research Cycle

no code implementations • 1 Aug 2019 • Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent

Software frameworks for neural networks play a key role in the development and application of deep learning methods.