scholarly journals Analysis and Design of a Two-Wheeled Robot With Multiple User Interface Inputs and Vision Feedback Control

Author(s):  
Eric Olson ◽  
Mohsin Rizwan ◽  
Panos S. Shiakolas ◽  
Amit Thanekar

Environments for robotics research and education are usually based on open source code or use proprietary software tools. Open source usually requires a user to know a low level programming language and proprietary software does not provide the environment needed for research and educational activities. In addition to the software, the hardware must be inexpensively and easily fabricated and assembled for teaching and experimentation purposes. In this manuscript, we will present the design and fabrication of a small size two-wheel mobile robotic platform developed for research and education purposes. Subsequently, the software environment for controlling the robot which is based on LabVIEW will be presented. LabVIEW was chosen because it provides many built-in toolboxes, and it is characterized by expandability and ease of interface with external devices. The software allows experienced as well as novice users to develop control code with ease. The robot communicates with control software in LabVIEW through a Bluetooth device. The developed environment is used to control the robot through multiple interfaces, to implement obstacle avoidance algorithms with ease, to implement open and closed loop control algorithms, to easily incorporate and use an inexpensive web camera for vision calibration, and is currently used to implement image processing and voice processing algorithms for robot localization and control both for research and education in both undergraduate and graduate courses.

2020 ◽  
Author(s):  
Michael Gecht ◽  
Marc Siggel ◽  
Max Linke ◽  
Gerhard Hummer ◽  
Juergen Koefinger

Molecular dynamics simulations resolve biomolecular processes and material properties with incomparable detail. As a result, they consume a significant fraction of worldwide supercomputing resources. With our open source benchmarking software MDBenchmark, expert and novice users alike can easily determine the optimal settings for their specific simulation system, MD engine, software environment, and hardware configuration. Ultimately, saving computation time, energy, and money at essentially no additional cost will produce better science.<br>


2020 ◽  
Author(s):  
Michael Gecht ◽  
Marc Siggel ◽  
Max Linke ◽  
Gerhard Hummer ◽  
Juergen Koefinger

Molecular dynamics simulations resolve biomolecular processes and material properties with incomparable detail. As a result, they consume a significant fraction of worldwide supercomputing resources. With our open source benchmarking software MDBenchmark, expert and novice users alike can easily determine the optimal settings for their specific simulation system, MD engine, software environment, and hardware configuration. Ultimately, saving computation time, energy, and money at essentially no additional cost will produce better science.<br>


Author(s):  
Michael Gecht ◽  
Marc Siggel ◽  
Max Linke ◽  
Gerhard Hummer ◽  
Juergen Koefinger

Molecular dynamics simulations resolve biomolecular processes and material properties with incomparable detail. As a result, they consume a significant fraction of worldwide supercomputing resources. With our open source benchmarking software MDBenchmark, expert and novice users alike can easily determine the optimal settings for their specific simulation system, MD engine, software environment, and hardware configuration. Ultimately, saving computation time, energy, and money at essentially no additional cost will produce better science.<br>


Author(s):  
N. D. Evans ◽  
M. K. Kundmann

Post-column energy-filtered transmission electron microscopy (EFTEM) is inherently challenging as it requires the researcher to setup, align, and control both the microscope and the energy-filter. The software behind an EFTEM system is therefore critical to efficient, day-to-day application of this technique. This is particularly the case in a multiple-user environment such as at the Shared Research Equipment (SHaRE) User Facility at Oak Ridge National Laboratory. Here, visiting researchers, who may oe unfamiliar with the details of EFTEM, need to accomplish as much as possible in a relatively short period of time.We describe here our work in extending the base software of a commercially available EFTEM system in order to automate and streamline particular EFTEM tasks. The EFTEM system used is a Philips CM30 fitted with a Gatan Imaging Filter (GIF). The base software supplied with this system consists primarily of two Macintosh programs and a collection of add-ons (plug-ins) which provide instrument control, imaging, and data analysis facilities needed to perform EFTEM.


2016 ◽  
Vol 4 (2) ◽  
pp. 1-16
Author(s):  
Ahmed S. Khusheef

 A quadrotor is a four-rotor aircraft capable of vertical take-off and landing, hovering, forward flight, and having great maneuverability. Its platform can be made in a small size make it convenient for indoor applications as well as for outdoor uses. In model there are four input forces that are essentially the thrust provided by each propeller attached to each motor with a fixed angle. The quadrotor is basically considered an unstable system because of the aerodynamic effects; consequently, a close-loop control system is required to achieve stability and autonomy. Such system must enable the quadrotor to reach the desired attitude as fast as possible without any steady state error. In this paper, an optimal controller is designed based on a Proportional Integral Derivative (PID) control method to obtain stability in flying the quadrotor. The dynamic model of this vehicle will be also explained by using Euler-Newton method. The mechanical design was performed along with the design of the controlling algorithm. Matlab Simulink was used to test and analyze the performance of the proposed control strategy. The experimental results on the quadrotor demonstrated the effectiveness of the methodology used.


2020 ◽  
Vol 35 (4) ◽  
pp. 2949-2958
Author(s):  
Ilka Jahn ◽  
Fabian Hohn ◽  
Geraint Chaffey ◽  
Staffan Norrga

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 572
Author(s):  
Mads Jochumsen ◽  
Taha Al Muhammadee Janjua ◽  
Juan Carlos Arceo ◽  
Jimmy Lauber ◽  
Emilie Simoneau Buessinger ◽  
...  

Brain-computer interfaces (BCIs) have been proven to be useful for stroke rehabilitation, but there are a number of factors that impede the use of this technology in rehabilitation clinics and in home-use, the major factors including the usability and costs of the BCI system. The aims of this study were to develop a cheap 3D-printed wrist exoskeleton that can be controlled by a cheap open source BCI (OpenViBE), and to determine if training with such a setup could induce neural plasticity. Eleven healthy volunteers imagined wrist extensions, which were detected from single-trial electroencephalography (EEG), and in response to this, the wrist exoskeleton replicated the intended movement. Motor-evoked potentials (MEPs) elicited using transcranial magnetic stimulation were measured before, immediately after, and 30 min after BCI training with the exoskeleton. The BCI system had a true positive rate of 86 ± 12% with 1.20 ± 0.57 false detections per minute. Compared to the measurement before the BCI training, the MEPs increased by 35 ± 60% immediately after and 67 ± 60% 30 min after the BCI training. There was no association between the BCI performance and the induction of plasticity. In conclusion, it is possible to detect imaginary movements using an open-source BCI setup and control a cheap 3D-printed exoskeleton that when combined with the BCI can induce neural plasticity. These findings may promote the availability of BCI technology for rehabilitation clinics and home-use. However, the usability must be improved, and further tests are needed with stroke patients.


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