National Yang Ming Chiao Tung University

Novatek Microelectronics Corp.

Industrial Technology Research Institute

Kai-Tai Song

Meng-Ju Han

Shih-Chieh Wang

Chao-Yu Lin

Chia-Ho Lin

Shao-Huan Song

Chun-Wei Chen

Sin-Yi Jiang

Chi-Yi Tsai

Yi-Wen Chen

Ming-Han Lin

Chih-Sheng Lin

Ming-Feng Chiang

Yi-Chiao Wu

Fuh-Yu Chang

Sin-Horng Chen

Chen-Yu Chiang

Chen-Yang Lin

Zhi-Sheng Lin

Kateryna Zinchenko

Su-Hen Yang

Yi-Hung Lee

Bing-Yi Li

Shih-Wei Chiu

Sz-Sheng Wang

Shang-Chun Hung

Jing-Huai Hsu

Jung-Wei Hong

Yao-Hsang Chen

Shuo-Cheng Chien

Chia-Hao Lin

Yu-Heng Chiu

Cheng-An Yang

Carlos Cervantes

Jen-Hao Chen

Shang-Yang Wu

Wei-Jyun Chen

Chi-Yi Lin

Ko-Tung Huang

Fu-Sheng Huang

A robotic surgical system includes a surgical robot holding a surgical instrument, a wearable device worn by a person, a camera for capturing images, and a computer device. The camera captures images of a base marker, and a dynamic reference frame disposed on an affected part of a patient. The computer device calculates a plurality of conversion relationships among different coordinate systems, and controls the surgical robot to move the surgical instrument according to a pre-planned surgical path and based on the conversion relationships. Furthermore, the computer device transmits data of a 3D model and the pre-planned surgical path to the wearable device, such that the wearable device is configured to present the 3D model in combination with the pre-planned surgical path as an AR image based on the conversion relationships.

Robotic surgical system

A robot controlling method includes following operations. A depth image is obtained by the depth camera. A processing circuit receives the depth image and obtains an obstacle parameter of an obstacle and a tool parameter of a tool according to the depth image. The tool is set on the end of a robot. The processing circuit obtains a distance vector between the end and the obstacle parameter. The processing circuit obtains a first endpoint vector and a second endpoint vector between the tool parameter and the obstacle parameter. The processing circuit establishes a virtual torque according to the distance vector, the first endpoint vector, and the second endpoint vector. The processing circuit outputs control signal to the robot according to the tool parameter, the obstacle parameter and the virtual torque to drive the robot to move or rotate the tool to a target.

Robot controlling method, motion computing device and robot system

A system of a robot for human following includes the robot faced toward a first direction. The robot includes a detecting device, a controlling device and a mobile device. The detecting device detects a target human and a obstacle. The controlling device generates a first parameter according to a first vector between the target human and the robot, generates a second parameter according to a second vector between the obstacle and the robot, and generates a driving command according to a first resultant force parameter generated from the first parameter and the second parameter and an angle value between the first direction and the first vector to drive the robot. The mobile device performs the driving command to enable the robot dodging the at least one obstacle and following the target human, simultaneously. A controlling method of a robot for human following is also disclosed herein.

Method and system of robot for human following

A robot controlling method includes: obtaining a depth image by a depth camera; receiving the depth image and obtaining an object parameter according to the depth image by a processing circuit; generating an attractive force parameter according to a target trajectory by the processing circuit; generating a repulsive force parameter according to a first vector between the object parameter and a robot by the processing circuit; generating a virtual force parameter according to a second vector between the object parameter and the robot by the processing circuit; and outputting a control signal to the robot to drive the robot according to the attractive force parameter, the repulsive force parameter and the virtual force parameter by the processing circuit.

Motion computing device, robot system and robot controlling method

An operation method of a robot for leading a follower to a destination within an open space includes: calculating a distance between the follower and the robot; when it is determined that the distance is not greater than a threshold, determining a pre-movement location of the robot in the open space and an orientation of the robot, and calculating a linear speed and an angular speed for the robot based on the pre-movement location and the orientation of the robot and the destination; moving according to the linear speed and the angular speed; determining whether the robot has arrived at the destination according to the current position; and repeating the previous steps when it is determined that the robot has not arrived at the destination.

Operation method of a robot for leading a follower

A power supply system with hydrogen fuel cell is provided, comprising a hydrogen fuel cell module converting hydrogen fuel into electrical power for outputting. A boost charging module electrically connected to the hydrogen fuel cell module receives, boosts and converts the electric power into charging power. At least two battery packs connected in parallel are electrically connected to the boost charging module and an external load respectively. When one of the battery packs discharges the external load, the other selectively receives charging power from the boost charging module. A control module electrically connected to the above controls the boost charging module to receive electrical power and convert it into charging power and controls the battery packs to alternate performing discharging the external load and charging from the boost charging module repeatedly by turns. The present invention combines hydrogen fuel cells to provide an innovative power supply system.

Power supply system with hydrogen fuel cell

The present disclosure illustrates a robot speech control system including a robot body, a handheld device, a command receiver, an ambient sensor, a processor and a controller. The handheld device includes a display interface and a speech input interface, and the speech input interface is configured to input a speech command which is then converted, by a speech recognition program, into a speech control instruction. An auto-dodge program converts the information into an auto-dodge instruction. The processor receives the speech control instruction and the information associated with the environment, and use Bayesian regression algorithm to calculate a free space probability, so as to obtain weights of a speech command and a dodge command. The processor integrates the speech control instruction and the weight of the speech command, and the auto-dodge instruction and the weight of the dodge command, to generate a movement control instruction.

Robot speech control system and method thereof

A method for controlling a walking assistant apparatus includes: scanning a user so as to generate information associated with gait of the user; detecting a torque applied to a torque sensor; estimating a speed of the user based on the information; calculating a compliant motion speed, and a compliant rotational speed; and controlling the motion unit to move at the compliant motion speed and to turn at the compliant rotational speed. This disclosure provides an autonomous obstacle avoidance mechanism; by combining the obstacle avoidance mechanism and the compliance controls, the walking-assistance apparatus is able to help user prevent from collisions with obstacles when walking in an environment with obstacles.

Method for controlling a walking assistant apparatus

A method for image recognition of an instrument includes: obtaining an input image containing a to-be-recognized instrument; selecting from the input image a region-of-interest containing the to-be-recognized instrument; determining in a high-to-low order of priority values of instrument categories, whether the to-be-recognized instrument contained in the region-of-interest belongs to one of the instrument categories according to the region-of-interest and a respective one of plural groups of sample images; and increasing the priority value of the one of the instrument categories when it is determined that the to-be-recognized instrument belongs to the one of the instrument categories.

Method and system for image recognition of an instrument

A music playing system and a music playing method suitable for playing music based on speech emotion recognition are provided. The music playing method includes following steps. A plurality of songs and song emotion coordinates of the songs mapping on an emotion coordinate graph are stored in a first database. Emotion recognition parameters are stored in a second database. A voice data is received and analyzed, and a current emotion coordinate of the voice data mapping on the emotion coordinate graph is obtained according to the second database. The setting of a target emotion coordinate is received. At least one specific song emotion coordinate closest to a cheer-up line connecting the current emotion coordinate and the target emotion coordinate is found. Songs corresponding to aforementioned emotion coordinates are sequentially played.

Music playing system and music playing method based on speech emotion recognition

A method for selecting music based on face recognition, a music selecting system and an electronic apparatus are provided. The method includes the following steps: accessing a database to retrieve a plurality of song emotion coordinates corresponding to a plurality of songs; mapping the song emotion coordinates to an emotion coordinate graph; capturing a human face image; identifying an emotion state corresponding to the human face image, and transforming the emotion state to a current emotion coordinate; mapping the current emotion coordinate to the emotion coordinate graph; updating a song playlist according to a relative position between the current emotion coordinate and a target emotion coordinate, wherein the song playlist includes a plurality of songs to be played that direct the current emotion coordinate to the target emotion coordinate.

Method for selecting music based on face recognition, music selecting system and electronic apparatus

A robot and a control method thereof are provided. The method includes the following steps: receiving a manual control command from a remote control device, and accumulating a duration of issuing the manual control commands; estimating an estimated moving velocity corresponding to the manual control command; detecting a surrounding environment of the robot and generating an autonomous navigation command based on the surrounding environment; determining a first weighting value associated with the manual control command based on the duration, the estimated moving velocity and the distance to obstacles; determining a second weighting value associated with the autonomous navigation command based on the first weighting value; linearly combining the manual control command and the autonomous navigation command based on the first weighting value and the second weighting value to generate a moving control command; and moving based on the moving control command.

Robot and control method thereof

An autonomous electronic apparatus and a navigation method thereof are provided. The navigation method includes the following steps. Firstly, a calling signal from a target is received through a wireless sensor network. A position relationship between the target and the autonomous electronic apparatus is analyzed to generate a first speed. Next, an image set is captured and an image relationship between the image set and the target is analyzed to generate a second speed. Afterwards, a weighting value related to the position relationship is calculated. Besides, a moving speed is calculated according to the weighting value, the first speed and the second speed, and a moving status of the autonomous electronic apparatus moving toward the target is controlled via the moving speed.

Autonomous electronic apparatus and navigation method thereof

A method is disclosed in the present disclosure for recognizing emotion by setting different weights to at least of two kinds of unknown information, such as image and audio information, based on their recognition reliability respectively. The weights are determined by the distance between test data and hyperplane and the standard deviation of training data and normalized by the mean distance between training data and hyperplane, representing the classification reliability of different information. The method recognizes the emotion according to the unidentified information having higher weights while the at least two kinds of unidentified information have different result classified by the hyperplane and correcting wrong classification result of the other unidentified information so as to raise the accuracy while emotion recognition. Meanwhile, the present disclosure also provides a learning step with a characteristic of higher learning speed through an algorithm of iteration.

Bimodal emotion recognition method and system utilizing a support vector machine

The present invention discloses a human identification system by fusion of face recognition and speaker recognition, a method and a service robot thereof. The system fuses results of the face recognition and the speaker recognition, and further uses confidence index to estimate the confidence level of the two recognition results. If only one of the confidence indices of the two recognition results reaches the threshold, then only this result is used as the output. If both confidence indices of the two recognition results reach the threshold, then the two recognition results are fused to output as a final result.

Growing community of inventors

Hsinchu, Taiwan

Kai-Tai Song