scholarly journals 1A1-A11 A Humanoid Robot Behavioral Operation System Using Natural Language

2007 ◽  
Vol 2007 (0) ◽  
pp. _1A1-A11_1-_1A1-A11_2
Author(s):  
Ee Sian NEO ◽  
Takeshi SAKAGUCHI ◽  
Kazuhito YOKOI
Keyword(s):  
Natural Language ◽  
Humanoid Robot ◽  
Operation System

scholarly journals A New Approach to Creation of an Artificial Intellect and Method of its Implementation

2021 ◽  
Vol 12 (1) ◽  
pp. 87-110
Author(s):  
Wladimir Stalski
Keyword(s):  
Natural Language ◽  
Work Experience ◽  
Humanoid Robot ◽  
Life Experience ◽  
Private Life ◽  
Personal Life ◽  
Human Model ◽  
Self Awareness ◽  
New Approach ◽  
Population Education

Abstract On the basis of the author’s earlier works, the article proposes a new approach to creating an artificial intellect system in a model of a human being that is presented as the unification of an intellectual agent and a humanoid robot (ARb). In accordance with the proposed new approach, the development of an artificial intellect is achieved by teaching a natural language to an ARb, and by its utilization for communication with ARbs and humans, as well as for reflections. A method is proposed for the implementation of the approach. Within the framework of that method, a human model is “brought up” like a child, in a collective of automatons and children, whereupon an ARb must master a natural language and reflection, and possess self-awareness. Agent robots (ARbs) propagate and their population evolves; that is ARbs develop cognitively from generation to generation. ARbs must perform the tasks they were given, such as computing, whereupon they are then assigned time for “private life” for improving their education as well as for searching for partners for propagation. After having received an education, every agent robot may be viewed as a “person” who is capable of activities that contain elements of creativity. The development of ARbs thanks to the evolution of their population, education, and personal “life” experience, including “work” experience, which is mastered in a collective of humans and automatons.

scholarly journals Real-Time Search-based Planning in Structure Environments

2020 ◽  
Author(s):  
Than Le
Keyword(s):  
Motion Planning ◽  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Humanoid Robot ◽  
Operation System ◽  
Computing Architecture ◽  
Planning Problems ◽  
The Way

<div>In this paper, we address the data sending and visualization in search-based planning using the open source software based on motion planning problems. First, we explore the computing architecture of software where we can communicate with other devices or sensors. It also is to understand the finding path problem by using the A-Start algorithm. By the way, it is</div><div>integrated to ROS (Robot Operation System) and implemented</div><div>in Nao Humanoid Robot based on solving the optimize the</div><div>trajectories.</div>

Natural-Language-Instructed Industrial Task Execution

2016 ◽  
Author(s):  
Rui Liu ◽  
Jeremy Webb ◽  
Xiaoli Zhang
Keyword(s):  
Natural Language ◽  
Humanoid Robot ◽  
Semantic Analysis ◽  
Advanced Manufacturing ◽  
Task Execution ◽  
Logic Modeling ◽  
Knowledge Based ◽  
Industrial Task ◽  
Manufacturing Machine

To effectively cooperate with a human, advanced manufacturing machines are expected to execute the industrial tasks according to human natural language (NL) instructions. However, NL instructions are not explicit enough to be understood and are not complete enough to be executed, leading to incorrected executions or even execution failure. To address these problems for better execution performance, we developed a Natural-Language-Instructed Task Execution (NL-Exe) method. In NL-Exe, semantic analysis is adopted to extract task-related knowledge, based on what human NL instructions are accurately understood. In addition, logic modeling is conducted to search the missing execution-related specifications, with which incomplete human instructions are repaired. By orally instructing a humanoid robot Baxter to perform industrial tasks “drill a hole” and “clean a spot”, we proved that NL-Exe could enable an advanced manufacturing machine to accurately understand human instructions, improving machine’s performance in industrial task execution.

A Visual Tele-operation System for the Humanoid Robot BHR-02

2006 ◽  
Author(s):  
Lei Zhang ◽  
Qiang Huang ◽  
Yuepin Lu ◽  
Tao Xiao ◽  
Jiapeng Yang ◽  
...  
Keyword(s):  
Humanoid Robot ◽  
Operation System

scholarly journals Humanoid Robot Learning How to track and grip

2013 ◽  
Vol 11 (7) ◽  
pp. 2759-2778
Author(s):  
Rasha F. A. Mostafa ◽  
El Sayed M. Saad ◽  
Medhat H. Awadalla ◽  
Hosam Eldin I. Ali
Keyword(s):  
Natural Language ◽  
Humanoid Robot ◽  
Natural Language Understanding ◽  
Arabic Language ◽  
Visual Object ◽  
Natural Environments ◽  
Visual Object Recognition ◽  
Language Understanding ◽  
Qualitative Comparison ◽  
Semantic Categories

Interaction with its environment is a key requisite for designing a humanoid robot especially to have the ability to recognize and manipulate unknown objects and it is crucial to successfully work in natural environments. However visual object recognition still remains a challenging problem. To get the robot capable of identifying the geometric shapes and colors of the objects, this paper proposes new approach using neuro Zernike moments. Furthermore, the paper proposes a natural language understanding system, where the robot will be able to effectively communicate with human through a dialogue developed in Arabic language. The developed dialogue and a dynamic object model are used for learning semantic categories, object descriptions, and new words acquisition for object learning. In this paper, a robot will be developed to interact with the users performing some specified actions. Moreover, integration between the proposed vision and natural language understanding systems has been presented. Finally, a hardware circuit is designed and Q-learning technique is presented assisting the robot to track and grip objects. Intensive experiments have been conducted indoor to address the validity of the complete system. Qualitative comparison among different techniques is accomplished. The achieved results show that the overall system performance of the proposed system outperforms in terms of accuracy and response time.

scholarly journals Real-Time Search-based Planning in Structure Environments

2020 ◽  
Author(s):  
Than Le
Keyword(s):  
Motion Planning ◽  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Humanoid Robot ◽  
Operation System ◽  
Computing Architecture ◽  
Planning Problems ◽  
The Way

<div>In this paper, we address the data sending and visualization in search-based planning using the open source software based on motion planning problems. First, we explore the computing architecture of software where we can communicate with other devices or sensors. It also is to understand the finding path problem by using the A-Start algorithm. By the way, it is</div><div>integrated to ROS (Robot Operation System) and implemented</div><div>in Nao Humanoid Robot based on solving the optimize the</div><div>trajectories.</div>

Sign in / Sign up

Export Citation Format

Share Document