Results 271 to 280 of about 2,212,132 (312)

An RFID-Based Mobile Robot Localization Method Combining Phase Difference and Readability

IEEE Transactions on Automation Science and Engineering, 2021
A novel radio frequency identification (RFID)-based mobile robot global localization method combining two kinds of RFID signal information, i.e., phase difference and readability, is proposed.
B. Tao, Haibing Wu, Zeyu Gong, Z. Yin, H. Ding   +4 more
semanticscholar   +1 more source

Motion planning and control for mobile robot navigation using machine learning: a survey

Autonomous Robots, 2020
Moving in complex environments is an essential capability of intelligent mobile robots. Decades of research and engineering have been dedicated to developing sophisticated navigation systems to move mobile robots from one point to another.
Xuesu Xiao, Bo Liu, Garrett Warnell, P. Stone   +3 more
semanticscholar   +1 more source

Mobile Robot Navigation based on Deep Reinforcement Learning

Chinese Control and Decision Conference, 2019
Learning to navigate in an unknown environment is a crucial capability of mobile robot. Conventional method for robot navigation consists of three steps, involving localization, map building and path planning. However, most of the conventional navigation
X. Ruan, Dingqi Ren, Xiao-qing Zhu, Jing Huang   +3 more
semanticscholar   +1 more source

Comparison of Various SLAM Systems for Mobile Robot in an Indoor Environment

2018 International Conference on Intelligent Systems (IS), 2018
This article presents a comparative analysis of a mobile robot trajectories computed by various ROS-based SLAM systems. For this reason we developed a prototype of a mobile robot with common sensors: 2D lidar, a monocular and ZED stereo cameras.
Maksim Filipenko, Ilya M. Afanasyev
semanticscholar   +1 more source

π0: A Vision-Language-Action Flow Model for General Robot Control

arXiv.org
Robot learning holds tremendous promise to unlock the full potential of flexible, general, and dexterous robot systems, as well as to address some of the deepest questions in artificial intelligence.
Kevin Black, Noah Brown, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, L. Shi, James Tanner, Quan Vuong, Anna Walling, Haohuan Wang, Ury Zhilinsky   +23 more
semanticscholar   +1 more source

Robust Zeroing Neural-Dynamics and Its Time-Varying Disturbances Suppression Model Applied to Mobile Robot Manipulators

IEEE Transactions on Neural Networks and Learning Systems, 2018
This paper proposes a novel robust zeroing neural-dynamics (RZND) approach as well as its associated model for solving the inverse kinematics problem of mobile robot manipulators.
Dechao Chen, Yunong Zhang
semanticscholar   +1 more source

Development of a separable search-and-rescue robot composed of a mobile robot and a snake robot

Adv. Robotics, 2019
In this study, we propose a new robot system consisting of a mobile robot and a snake robot. The system works not only as a mobile manipulator but also as a multi-agent system by using the snake robot's ability to separate from the mobile robot ...
T. Kamegawa, Taichi Akiyama, Satoshi Sakai, Kento Fujii, Kazushi Une, Yongdong Wang, Yuto Matsumura, Toru Kishutani, Eiji Nose, Yusuke Yoshizaki, A. Gofuku   +10 more
semanticscholar   +1 more source

Hybrid Path Planning Based on Safe A* Algorithm and Adaptive Window Approach for Mobile Robot in Large-Scale Dynamic Environment

Journal of Intelligent and Robotic Systems, 2020
Xunyu Zhong, Jun Tian, Huosheng Hu, Xiafu Peng   +3 more
semanticscholar   +1 more source

Self-powered soft robot in the Mariana Trench

Nature, 2021
Guorui Li, Youhua Xiao, Yi Xu
exaly  

Functional Fibers and Fabrics for Soft Robotics, Wearables, and Human–Robot Interface

Advanced Materials, 2021
Jiaqing Xiong, Pooi See Lee
exaly