Laser pointer driving assistant for robotic wheelchairs' navigation

2018 ◽  
Author(s):  
Guilherme Martins Pereira
Keyword(s):  
Laser Pointer ◽  
Robotic Wheelchairs

Individual Differences in the Flexibility of Peripersonal Space

2017 ◽  
Vol 64 (1) ◽  
pp. 49-55 ◽  
Author(s):  
Samuel B. Hunley ◽  
Arwen M. Marker ◽  
Stella F. Lourenco
Keyword(s):  
Individual Differences ◽  
Peripersonal Space ◽  
The Body ◽  
Laser Pointer ◽  
Baseline Measure ◽  
Bisection Task ◽  
Defensive Function ◽  
Representational Space ◽  
Laser Condition ◽  
Line Bisection Task

Abstract. The current study investigated individual differences in the flexibility of peripersonal space (i.e., representational space near the body), specifically in relation to trait claustrophobic fear (i.e., fear of suffocating or being physically restricted). Participants completed a line bisection task with either a laser pointer (Laser condition), allowing for a baseline measure of the size of one’s peripersonal space, or a stick (Stick condition), which produces expansion of one’s peripersonal space. Our results revealed that individuals high in claustrophobic fear had larger peripersonal spaces than those lower in claustrophobic fear, replicating previous research. We also found that, whereas individuals low in claustrophobic fear demonstrated the expected expansion of peripersonal space in the Stick condition, individuals high in claustrophobic fear showed less expansion, suggesting decreased flexibility. We discuss these findings in relation to the defensive function of peripersonal space and reduced attentional flexibility associated with trait anxieties.

scholarly journals Evaluation of a green laser pointer for flow cytometry

2007 ◽  
Vol 71A (10) ◽  
pp. 809-817 ◽  
Author(s):  
Robert C. Habbersett ◽  
Mark A. Naivar ◽  
Travis A. Woods ◽  
Gregory R. Goddard ◽  
Steven W. Graves
Keyword(s):  
Flow Cytometry ◽  
Green Laser ◽  
Laser Pointer

Laser Pointer Maculopathy

2018 ◽  
Vol 2 (10) ◽  
pp. 996
Author(s):  
Laura Snyder ◽  
Shriji Patel
Keyword(s):  
Laser Pointer

Negative Obstacle Detection Using LiDAR Sensors for a Robotic Wheelchair

2018 ◽  
Author(s):  
Taylor E. Baum ◽  
Kelilah L. Wolkowicz ◽  
Joseph P. Chobot ◽  
Sean N. Brennan
Keyword(s):  
Time Algorithm ◽  
Detection Algorithm ◽  
Obstacle Detection ◽  
Detection Accuracy ◽  
Time Varying ◽  
Wheelchair Users ◽  
Development Platform ◽  
Robotic Wheelchairs ◽  
Robotic Wheelchair ◽  
Negative Obstacle

The objective of this work is to develop a negative obstacle detection algorithm for a robotic wheelchair. Negative obstacles — depressions in the surrounding terrain including descending stairwells, and curb drop-offs — present highly dangerous navigation scenarios because they exhibit wide characteristic variability, are perceptible only at close distances, and are difficult to detect at normal operating speeds. Negative obstacle detection on robotic wheelchairs could greatly increase the safety of the devices. The approach presented in this paper uses measurements from a single-scan laser range-finder and a microprocessor to detect negative obstacles. A real-time algorithm was developed that monitors time-varying changes in the measured distances and functions through the assumption that sharp increases in this monitored value represented a detected negative obstacle. It was found that LiDAR sensors with slight beam divergence and significant error produced impressive obstacle detection accuracy, detecting controlled examples of negative obstacles with 88% accuracy for 6 cm obstacles and above on a robotic development platform and 90% accuracy for 7.5 cm obstacles and above on a robotic wheelchair. The implementation of this algorithm could prevent life-changing injuries to robotic wheelchair users caused by negative obstacles.

scholarly journals Kontrol Sudut Elevasi Robot Pelontar Softsaucer dengan Metode PID

2020 ◽  
Vol 4 (1) ◽  
pp. 9
Author(s):  
Gillang Al Azhar ◽  
Totok Winarno ◽  
Achmad Komarudin
Keyword(s):  
Laser Pointer

Teknologi elektronika berkembang pesat. Salahsatunya pada bidang robotika. Robot pelontar, merupakansebuah pengembangan teknologi sederhana hingga teknologiyang kompleks. Pengembangan robot yang paling sederhanaadalah pengembangan dalam bidang pendidikan, salah satunyatermasuk penggunaan robot pelontar untuk mengatasimasalahan dalam lomba KRI 2017. Dalam lomba ini, robotpelontar mampu menembakkan peluru yang disebut dengansoftsaucer kearah tiang yang memiliki penampang, danterdapat objek tembak di atas penampangnya. Tujuan daripelamparan softsaucer kearah bidang tembak adalah untukmenjatuhkan objek tembak dari atas bidang tembak.Penembakan softsaucer oleh robot pelontar kearah bidangtembak memiliki jarak yang sudah ditentukan. Letak bidangtembak yang memiliki jarak yang berbeda – beda dari robotmembuat robot harus bisa menyesuaikan sudut elevasitembakan agar objek tembak berhasil dijatuhkan. SensorSRF08 digunakan untuk mengukur jarak dari robot ke bidangtembak dengan bantuan laser pointer, agar jarak yang diukurmerupakan jarak dari robot ke bidang tembak. Agar pelontaransoftsaucer bisa mengenai sasaran, digunakan metode PID,dimana mencari nilai konstantanya dengan cara Trial andError. Setelah dilakukan tuning, dengan nilai konstanta Kp=40, Ki= 5, Kd= 37, robot dapat menyesuaikan sudut elevasitembakan dengan respon waktu yang cepat yaitu 5 detik.

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