Optimization for Master-UAV-powered Auxiliary-Aerial-IRS-assisted IoT Networks: An Option-based Multi-agent Hierarchical Deep Reinforcement Learning Approach

no code implementations • 20 Dec 2021 • Jingren Xu, Xin Kang, Ronghaixiang Zhang, Ying-Chang Liang, Sumei Sun

This paper investigates a master unmanned aerial vehicle (MUAV)-powered Internet of Things (IoT) network, in which we propose using a rechargeable auxiliary UAV (AUAV) equipped with an intelligent reflecting surface (IRS) to enhance the communication signals from the MUAV and also leverage the MUAV as a recharging power source.

Selecting and Designing Grippers for an Assembly Task in a Structured Approach

no code implementations • 9 Mar 2020 • Jingren Xu, Keisuke Koyama, Weiwei Wan, Yukiyasu Domae, Kensuke Harada

In this paper, we present a structured approach of selecting and designing a set of grippers for an assembly task.

Robotics

Planning an Efficient and Robust Base Sequence for a Mobile Manipulator Performing Multiple Pick-and-place Tasks

no code implementations • 22 Jan 2020 • Jingren Xu, Kensuke Harada, Weiwei Wan, Toshio Ueshiba, Yukiyasu Domae

In this paper, we address efficiently and robustly collecting objects stored in different trays using a mobile manipulator.

Robotics