Jr-Hung Guo
National Yunlin University of Science and Technology
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jr-Hung Guo.
Artificial Life and Robotics | 2011
Kuo-Lan Su; Hsu-Shan Su; Sheng-Wen Shiao; Jr-Hung Guo
This article describes a landmine-detection system that contains a landmine-detection mobile robot and a following mobile robot. In this system, the landmine-detection robot goes ahead, and uses a landmine detector and a GPS module to find a landmine, records the coordinates of its location, and transmits these coordinates to the following mobile robot via a wireless RF interface. The following robot can record the location and orientation of the landmine-detection robot and all the landmines in the region. The following robot moves close to the landmine, and programs a path to avoid obstacles and landmines automatically. The driving system of the landmine-detection mobile robot uses a microprocessor dsPIC 30F4011 as the core, and controls two DC servomotors to program the motion path. The user interface of the landmine-detection robot and the following robot uses Borland C++ Builder language to receive the location data. In the experimental results, the landmine-detection robot records the location of landmines using a GPS module, and transmits the locations to the following robot via a wireless RF interface. The following robot avoids the landmines, and improves the safety of people or materials being carried through the landmine area.
Artificial Life and Robotics | 2009
Kuo-Lan Su; Song-Hiang Chia; Sheng-Ven Shiau; Jr-Hung Guo
The security system in a workplace or home is important to human life. Unlucky events are often caused by the negligence of humans. We have developed a modulebased security system for home automation. The structure of the security system contains many modules. Each module has two types of interface (wireless RF and speech). There are active and passive modules in the security system. The active security module is a smart robot. We have designed many types of smart robot for the security system. The passive security modules include a fire security module, an intruder security module, an environment security module, a gas security module, an AC power security module, and an appliance control module. In the security module, we use multisensor fusion algorithms to decide the exact output. In these modules, we use a two-wire communication method through the wireless RF interface, and a voice alarm for serious events, and transmit the real-time status to the supervised computer. In the smart robot system, we have designed many types of smart robot for the security system. We have designed a general user interface (GUI) for the intelligent security system. The user interface can supervise these modules and the smart robots via the wireless RF device, and supervise the security system via wireless, Internet, and cell phone.
international conference on innovative computing, information and control | 2009
Jr-Hung Guo; Kuo-Lan Su; Chung-Chieh Wang; Chia-Ju Wu
We have been designed a module based mobile robot applying in the intelligent life space. The mobile robot is constructed using aluminum frame. The mobile robot has the shape of cylinder and its diameter, height and weight is 40 cm, 80cm and 40kg. There are six systems in the mobile robot, including structure, avoidance obstacle and driver system, software development system, detection module system, remote supervise system and others. In the avoidance obstacle and driver system, we use NI motion control card and MAXON drivers to control two DC servomotors of the mobile robot, and detect obstacle using laser range finder, sixteen reflective IR sensors and sixteen ultrasonic sensors. The mobile robot measure the range of obstacles using decision tree method, and find out the free space to move autonomously. We develop the user interface of the avoidance obstacle for the mobile robot. Finally, we control the mobile robot to avoid obstacles according to the programmed trajectory. The mobile robot can avoid obstacle using laser range finder, and follow the programmed trajectory.
Artificial Life and Robotics | 2009
Jr-Hung Guo; Kuo-Lan Su; Chia-Ju Wu; Sheng-Ven Shiau
We have designed a mobile robot with a distribution structure for intelligent life space. The mobile robot was constructed using an aluminum frame. The mobile robot has the shape of a cylinder, and its diameter, height, and weight are 40 cm, 80 cm, and 40 kg, respectively. There are six systems in the mobile robot, including structure, an obstacle avoidance and driving system, a software development system, a detection module system, a remote supervision system, and others. In the obstacle avoidance and driving system, we use an NI motion control card to drive two DC servomotors in the mobile robot, and detect obstacles using a laser range finder and a laser positioning system. Finally, we control the mobile robot using an NI motion control card and a MAXON driver according to the programmed trajectory. The mobile robot can avoid obstacles using the laser range finder, and follow the programmed trajectory. We developed the user interface with four functions for the mobile robot. In the security system, we designed module-based security devices to detect dangerous events and transmit the detection results to the mobile robot using a wireless RF interface. The mobile robot can move to the event position using the laser positioning system.
soft computing | 2014
Kuo-Lan Su; Bo-Yi Li; Jr-Hung Guo; Kuo-Hsien Hsia
The article develops the decision rules to win each set of the Chinese chess game using artificial intelligent and evaluation algorithm, and presents the movement scenarios of the chesses using mobile robots on the grid based platform. Artificial intelligent is often applied in computer chess game, and programs the movement method to win each set for a player (red side or black side). We play the Chinese chess game using the mouse according to the game rules on the user interface. The supervised computer controls mobile robots according to the programmed motion paths of the chess moving on the platform via wireless radio frequency (RF) interface, and selects which chess moving to the best position to win the set using evaluation algorithm and artificial intelligent method. Then we use simulation method to display the motion paths of the assigned chesses on the user interface. The supervised computer implements the simulation results on the chessboard platform using mobile robots. Mobile robots move on the chessboard platform to be guided to move on the centre line of the corridor, and avoid the obstacles (chesses), and detect the cross point of the platform using three reflective infrared (IR) modules.
Artificial Life and Robotics | 2011
Sheng-Ven Shiau; Kuo-Lan Su; Chun-Chieh Wang; Jr-Hung Guo
We present path-planning techniques for a multiple mobile robot system. The mobile robot has the shape of a cylinder, and its diameter, height, and weight are 8 cm, 15 cm, and 1.5 kg, respectively. The controller of the mobile robot is an MCS-51 chip, and it acquires detection signals from sensors through I/O pins. It receives commands from the supervising computer via a wireless RF interface, and transmits the status of the robots to the supervising computer via a wireless RF interface. The mobile robot system is a module-based system, and contains a controller module (including two DC motors and drivers), an obstacle detection module, a voice module, a wireless RF module, an encoder module, and a compass detection module. We propose an evaluation method to arrange the position of the multiple mobile robot system, and develop a path-planning interface on the supervising computer. In the experimental results, the mobile robots were able to receive commands from the supervising computer, and to move their next positions according to the proposed method.
international conference on innovative computing, information and control | 2009
Kuo-Lan Su; Sheng-Ven Shiau; Jr-Hung Guo; Chih-Wei Shiau
We present the game tree search techniques based on Chinese chess game, and use mobile robots to present the scenario. We design a mobile robot to be applied in many fields, such as entertainment, education and security. The mobile robot has the shape of cylinder and its diameter, height and weight is 8cm, 15cm and 1.5kg. The power of the mobile robot is three Li batteries, and connects with parallel arrangement. It has three IR sensors to detect obstacle. The controller of the mobile robot is MCS-51 chip, and can acquire the detection signal from sensors through I/O pins, and receives the command from the supervised computer and the remote controller via wireless RF interface. The controller of the mobile robot can transmits the detection result to the supervised computer via wireless RF interface. The mobile robot can speak Chinese language using voice driver module. We develop the user interface of mobile robots according to the basic rules of Chinese chess game, and program the motion trajectories for the mobile robot to play the Chinese chess game. In the experimental results, mobile robots can receive the command from the supervised computer, and move the next position according to the attribute of the chess piece.
Artificial Life and Robotics | 2013
Kuo-Lan Su; Yung-Chin Lin; Bo-Yi Li; Jr-Hung Guo
The article presents multiple pattern formation control of the multi-robot system using A* searching algorithm, and avoids the collision points moving on the motion platform. We use speech recognition algorithm to decide the various pattern formations, and program mobile robots to present the movement scenario on the grid-based motion platform. We have been developed some pattern formations to be applied in game applications, such as long snake pattern formation, phalanx pattern formation, crane wing pattern formation, sword pattern formation, cone pattern formation and so on. The mobile robot contains a controller module, three IR sensor modules, a voice module, a wireless RF module, a compass module, and two DC servomotors. The controller of the mobile robot can acquire the detection signals from reflect IR sensor modules and the compass module, and decide the cross points of the aisle. The mobile robot receives the command from the supervised computer, and transmits the status of environment to the supervised computer via wireless RF interface. We develop the user interface of the multi-robot system to program motion paths for various pattern formation exchanges using the minimum displacement. Users can use speech to control the multiple mobile robots to execut pattern formation exchange. In the experimental results, users can speak the pattern formation. The speech recognition system receives the signal to decide the pattern formation. The multiple mobile robots can receive the pattern formation command from the supervised computer, and arrange the assigned pattern formation on the motion platform, and avoid other mobile robots.
Artificial Life and Robotics | 2011
Jr-Hung Guo; I.-Chao Chien; Kuo-Lan Su; Chia-Ju Wu
This article develops a gas detection module for the intelligent home. The module uses eight gas sensors to detect the environment of the home and building. The gas sensors of the module have an NH3 sensor, an air pollution sensor, an alcohol sensor, an HS sensor, a smoke sensor, a CO sensor, an LPG sensor, and a natural gas sensor, and can classify more than eight types of gas using multisensor fusion algorithms. In the logical filter method, either AND or OR filters can be implemented in the gas detection module. Then we can calculate the system’s reliability using the AND and OR filters, and classify the type of gas in the environment. The controller of the gas detection module is a HOLTEK microchip. The module can communicate with the supervised computer via a wire interface or a wireless RF interface, and can caution the user via a voice module. Finally, we present some experimental results to measure unknown gases using the gas detection module on the security system of an intelligent building and home.
international symposium on computer consumer and control | 2014
Jr-Hung Guo; Kuo-Lan Su; Bo-Yi Li
The paper develops a fire monitoring and escaping system that is applied in the intelligent home and uses mobile robots with flame sensor to detect fire sources. The supervised computer receives the locations of the detected fire sources and calculates the risk values of the cross points of the motion platform using joint probability. Then the supervised computer programs motion paths and escaping paths, and controls mobile robots to guide the human leaving the fire field. Mobile robots contain two types moving in the platform. One is the fire detection robot using ultraviolet sensor to search fire sources. The other represents the human walking in the motion platform autonomously. The controller of the two type mobile robot is STCMCS-51 microchip. The fire detection robots receive the motion command from the supervised compute via wireless RF interface. Each mobile robot transmits ID code, position and orientation, positions of detected fire sources and obstacles to the supervised computer via wireless RF interface, too. We classified three steps for fire detection process. The supervised computer controls fire detection robots to search fire sources, uses Gaussian distribution function to present the risk values of the detected fire source, and combines with joint probability to compute the relation risk for multiple fire sources in the first step. In the second step, A searching algorithm and the relation risk values were used as a basis to program the motion paths from the human, and a fire detection robot was assigned to guide the human leaving the fire field. The supervised computer re-programs the escaping routs to avoid detected fire sources and obstacles for the fire detection robots in the third step and controls mobile robots to present the movement scenario step by step.