scholarly journals High-Level Robot Control through Logic

2001 ◽  
pp. 104-121 ◽  
Author(s):  
Murray Shanahan ◽  
Mark Witkowski
Keyword(s):  
Robot Control ◽  
High Level

scholarly journals Design and building motion capture system using transducer Microsoft kinect to control robot humanoid

2018 ◽  
Vol 197 ◽  
pp. 11007
Author(s):  
Gun Gun Maulana ◽  
Yuliadi Erdani ◽  
Aris Budiyarto ◽  
Wahyudi Purnomo
Keyword(s):  
Motion Capture ◽  
Robot Control ◽  
Humanoid Robot ◽  
Absolute Error ◽  
Microsoft Kinect ◽  
Control Technique ◽  
Average Response Time ◽  
Capture Method ◽  
High Level ◽  
Average Position

Currently the development of robots has reached a high level of complexity. However, it is also accompanied by increasing complexity problems in its control. Some control with the image processing method also requires competent operators, at least memorize each command used. Therefore, to reduce the complexity in its control, in this research robot control, especially humanoid robot is made using motion capture method. Motion capture is a control technique using a camera transducer in the form of Microsoft Kinect, to obtain the coordinate skeleton of the joint user. Furthermore the data is processed in Visual Studio software to obtain the angular information that will be formed by the robot. So that the robot can perform the same movement with the user. The information is transmitted wirelessly to the microcontroller contained on the robot in real-time. The results of research showed that the system can translate the user's movement into information movement of humanoid robot. With an average skeleton vector detection error of 1.69 cm, an average response time of 1.3 seconds and an absolute error average position of the end effector on the x axis of 3.2 cm and on the y-axis of 1.28 cm.

VLSI Processor System for Robotics

1996 ◽  
Vol 8 (6) ◽  
pp. 496-499
Author(s):  
Michitaka Kameyama ◽  
◽  
Yoshichika Fujioka ◽  
Keyword(s):  
Delay Time ◽  
Robot Control ◽  
Parallel Architecture ◽  
Quick Response ◽  
Parallel Processor ◽  
Pipeline Architecture ◽  
Minimum Delay ◽  
High Level ◽  
Minimum Delay Time ◽  
Generation Information

As one of the next-generation information systems, it is important to construct intelligent integrated systems that have quick response for dynamically changing environment. Therefore, it becomes essential to develop the special purpose VLSI processors which are based on the philosophy ""great reduction of the delay time."" Particularly, we call it robot electronics to develop the special purpose VLSI processors for intelligent robot control. In this article, we will review the fundamental technologies such as pipeline architecture, spacial parallel processing, reconfigurable parallel architecture and high level synthesis of the parallel processor with minimum delay time.

An interactive robot control environment for rehabilitation applications

Robotica ◽  
1993 ◽  
Vol 11 (6) ◽  
pp. 541-551 ◽  
Author(s):  
J. L. Dallaway ◽  
R. M. Mahoney ◽  
R. D. Jackson ◽  
R. G. Gosine
Keyword(s):  
Robot Control ◽  
Home School ◽  
Task Environment ◽  
Control Environment ◽  
Level Control ◽  
Work Activities ◽  
Work Area ◽  
Robot Systems ◽  
High Level ◽  
Active Investigation

Interactive robot systems are under active investigation as aids for people with impaired manipulating ability. Under the direction of a disabled operator, a robot can manipulate objects, thereby increasing the independence of the operator in home, school and work activities. This paper describes a high-level control language CURL developed to facilitate communication between a disabled operator and the task environment. CURL is a Windows-based application. Interactive robotics requires a different approach from mainstream robotics where humans are kept out of the robot's work area.

Integrating active localization into high-level robot control systems

1998 ◽  
Vol 23 (4) ◽  
pp. 205-220 ◽  
Author(s):  
Michael Beetz ◽  
Wolfram Burgard ◽  
Dieter Fox ◽  
Armin B. Cremers
Keyword(s):  
Control Systems ◽  
Robot Control ◽  
High Level ◽  
Active Localization

Conception of the Integration of the Virtual Robot Model with the Control System

2014 ◽  
Vol 1036 ◽  
pp. 732-736 ◽  
Author(s):  
Krzysztof Herbuś ◽  
Piotr Ociepka ◽  
Aleksander Gwiazda
Keyword(s):  
Control System ◽  
Robot Control ◽  
Control Panel ◽  
Virtual Model ◽  
Projection System ◽  
Hardware Interface ◽  
High Level ◽  
Control Application ◽  
Stereoscopic Projection

The paper presents the conception of integration of a robot virtual model with its virtual control system. The system of connections between the virtual world and the control system of a virtual model, proposed in the work, should let for developing the technical approach allowing teaching the manual programming of robots. In the paper attempted to define particular subsystems included in the proposed system for teaching programming of robots. In the work it have been distinguished problems that should be solved in order to properly create the proposed virtual system, and namely problems related to the: creation of a robotic system model in CAD systems, including modelling of a robot and its technological equipment; modelling of functioning of a real system in the applications of the VR (Virtual Reality) class; creation of a robot control system basing on a high level programming language (control application); elaboration of a virtual robot control panel (hardware interface); determination of the appropriate stereoscopic projection system and creation of the interfaces between the particular subsystems.

Correct high-level robot control from structured English

2012 ◽  
Author(s):  
Gangyuan Jing ◽  
Cameron Finucane ◽  
Vasumathi Raman ◽  
Hadas Kress-Gazit
Keyword(s):  
Robot Control ◽  
High Level

Correct, Reactive, High-Level Robot Control

2011 ◽  
Vol 18 (3) ◽  
pp. 65-74 ◽  
Author(s):  
Hadas Kress-Gazit ◽  
Tichakorn Wongpiromsarn ◽  
Ufuk Topcu
Keyword(s):  
Robot Control ◽  
High Level

scholarly journals Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Alyssa M. Batula ◽  
Youngmoo E. Kim ◽  
Hasan Ayaz
Keyword(s):  
Motor Imagery ◽  
Robot Control ◽  
Humanoid Robot ◽  
Near Infrared ◽  
Functional Near Infrared Spectroscopy ◽  
Activation Patterns ◽  
Left Turn ◽  
Left Hand ◽  
Real Robot ◽  
High Level

Motor-imagery tasks are a popular input method for controlling brain-computer interfaces (BCIs), partially due to their similarities to naturally produced motor signals. The use of functional near-infrared spectroscopy (fNIRS) in BCIs is still emerging and has shown potential as a supplement or replacement for electroencephalography. However, studies often use only two or three motor-imagery tasks, limiting the number of available commands. In this work, we present the results of the first four-class motor-imagery-based online fNIRS-BCI for robot control. Thirteen participants utilized upper- and lower-limb motor-imagery tasks (left hand, right hand, left foot, and right foot) that were mapped to four high-level commands (turn left, turn right, move forward, and move backward) to control the navigation of a simulated or real robot. A significant improvement in classification accuracy was found between the virtual-robot-based BCI (control of a virtual robot) and the physical-robot BCI (control of the DARwIn-OP humanoid robot). Differences were also found in the oxygenated hemoglobin activation patterns of the four tasks between the first and second BCI. These results corroborate previous findings that motor imagery can be improved with feedback and imply that a four-class motor-imagery-based fNIRS-BCI could be feasible with sufficient subject training.

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