|
Design and performance evaluation of three-fingered piano-playing robot |
|
Tristan Akira Campos Segura, Kota Nakamura, Yoshihiko Takahashi(Kanagawa Institute of Technology, Japan) |
| A robot that can play the piano with three fingers has been developed. The mechanism for moving the fingers up and down has a structure combining a four-bar link mechanism and a slider crank mechanism. It is driven by pulling a finger with a solenoid and a wire. A servo motor was used for the horizontal movement mechanism. In order to evaluate the performance characteristics of the robot, the performance characteristics of humans were compared with it. |
|
|
Comparison of facial expression sensors and skin potential response sensors for emotion estimation by communication robots |
|
Naoya Hasegawa, Rin Hirahara(Kindai University Technical College, Japan), Yoshihiko Takahashi(Kanagawa Institute of Technology, Japan) |
| A communication system that quantifies human emotions and provides feedback control was fabricated for a communication robot. The robot can provide suggestions to users and relay transmissions during human-to-human communication. The reliability in estimating emotions from facial expressions of a proposed sensor was compared with that of skin potential response (SPR) sensors, which have been reported in several papers. A SPR sensor can measure tension and agitation in humans. The sensor estimating emotions from facial expressions can measure five facial expressions. This study reports that SPR sensors and emotion estimation sensors can be handled similarly. |
|
|
Comparison of facial expression sensors and cerebral blood flow sensors for emotion estimation by communication robots |
|
Naoya Hasegawa, Rin Hirahara, Shohei Kurokawa(Kindai University Technical College, Japan), Yoshihiko Takahashi(Kanagawa Institute of Technology, Japan) |
| In this study, a communication system that quantifies human emotions and provides feedback control was fabricated for a communication robot. Based on the emotions of the listener; the speed, words, and tone of the speaker are selected. Furthermore, the sensor was adopted to estimate emotions using facial expressions. To investigate its reliability, the results were compared with those from cerebral blood flow sensors which have been reported in numerous studies. The experimental results of the face sensors and the NIRS sensors are determined when a soap bubble robot ejects bubbles at the subject. |
|
|
A Study on the Path Estimation of the Autonomous Mobile Robot in Extreme Environment using Image Processing and Kalman Filter |
|
Jaeheon Park(KEPCO Research Institute, Korea), Seok Tae Kim(KEPCO Research Institute(KEPRI), Korea) |
| This paper focuses on the path estimation within specific underground power transmission tunnels. In order to operate a mobile robot unmanned, it is necessary to ensure the robustness of the robot and the convenience of the operator. For instance, without the use of a controller, the mobile robot may deviate from its intended path and potentially cause damage to surrounding structures. Additionally, tunning the parameters, such as the PID controller, based on the constraints and variables of the field environment, can lead to inconvenience for the operator. Therefore, it is crucial to minimize theses drawbacks to ensure the developed system is effectively utilized in real-field. |
|
|
Synergistic Design and Analysis of a Multi-Tasking Robot enabling Artificial Intelligence for Hazard response |
|
MD Hasibur Rahman(Independent University, Bangladesh), Md Fayed AL Monir(Independent University of Bangladesh, Bangladesh), Rahat Hasan Shihab(Independent University Of Bangladesh, Bangladesh), Fatin Ishraq Ahammed, Saadia Binte Alam, Mohammad Faisal Uddin, Mahady Hasan, Rubaiyat Islam(Independent University of Bangladesh, Bangladesh) |
| In this comprehensive study, we introduce a 3-DoF hyper-multifunctional robot engineered for hazard response and surveillance tasks. Utilizing a blend of commercially available components and 3D-printed parts, the robot is equipped with cutting-edge sensing technologies. It features object detection via YOLO NAS and fire detection through HSV color space. Controlled by an Atmega328p AVR microcontroller and ESP32, the robot is capable of simultaneous multi-tasking, including object manipulation, water spraying for firefighting, and real-time environmental monitoring. Communication between control units is facilitated through a low-cost Bluetooth system. The robot's modular design allows for e |
| |