This technology measures the distance between three RF nodes arranged in an equilateral triangle on the top plate of a master robot and the RF node of a slave robot. By rotating the top plate, it identifies the point where the distances between specific nodes on the master robot and the slave robot become equal, then calculates the relative position of the slave robot using the resulting geometric triangulation and rotation angle.
Conventional technologies for swarm robot localization require the installation of expensive infrastructure or complex sensing devices, such as gyro and ultrasonic sensors, on each individual robot, leading to high data processing loads and increased system costs.
This technology equips the master robot with a rotating top plate and three RF nodes arranged in an equilateral triangle, while minimizing the hardware on the slave robot to just an RF node. Based on the rotation of the master robot's top plate and the distance information between nodes, the master robot precisely calculates the slave robot's position and issues formation commands. Applicable to robot gripping, precision measurement, and automated facilities, this approach minimizes data processing and hardware requirements for a large number of slave robots, thereby reducing overall system load and construction costs.
This invention was developed with support from the Ministry of Education, Science and Technology for the development of public safety smart monitoring and active response technologies.
This technology is a fuzzy logic-based control mechanism that calculates autonomous driving control values by combining positive fuzzy rules for target tracking with negative fuzzy rules for obstacle avoidance. It determines the optimal movement direction (avoidance angle) by applying Gaussian membership functions to obstacle location data detected by ultrasonic sensors and target point information input from a controller.
Conventional remote robot control systems rely on manual user operation, posing a high risk of collision if obstacles are not detected. Furthermore, the lack of integrated autonomous avoidance control technology reduces the reliability of remote operation.
This technology configures a control system that uses the distance and angle between the robot and the target point, as well as the robot and obstacles, as input variables. It applies positive and negative rules respectively, derives the fitness of each input fuzzy set based on mathematical formulas, and calculates the final movement avoidance angle through the computation of output fuzzy set fitness including additive offsets. Applicable to rehabilitation training, gait assistance, and medical/welfare services, it enables self-regulated obstacle avoidance, thereby enhancing the reliability of remote control in robot navigation.
This invention was developed with support from the Ministry of Education, Science and Technology's Biomimetic Robot Technology Development program.
This technology features a box-type housing with a two-wheel drive structure. Movement direction and speed are controlled by two independently operated stepper motors, while a central control unit (MCU) receives control signals from a remote terminal via Bluetooth/Zigbee to integrate the operation of the camera and LED.
Conventional cleaning robots are often large and complex, making directional control difficult. They also suffer from limited lighting range, which restricts their ability to perform precise movement and monitoring in narrow, dark spaces.
This technology utilizes a box-type housing equipped with stepper motor-based independent left and right drive wheels. The MCU calculates pulse control values input from a remote terminal to manage movement and steering, while the multi-faceted LED and camera arrangement eliminates lighting blind spots.
This technology is a spherical mobile robot mechanism that uses the thrust of a ducted fan installed inside a spherical frame for propulsion, changes direction by controlling the center of gravity through the rotation of a weight, and brakes by controlling the extension of a brake arm.
Spherical robots using internal pendulum drive systems face limitations in motor output and pendulum weight during high-speed operation, leading to increased size and weight, which makes high-speed travel impossible.
This technology secures high-speed propulsion using a ducted fan, changes the direction of the fan with a first drive unit, shifts the center of gravity to change direction by rotating a weight with a second drive unit, and brakes by extending a brake arm beyond the robot's outer perimeter via a third drive unit and power transmission unit.
This technology builds a node probability model by analyzing the frequency of nodes in dominant individuals from previous generations when generating robot paths based on a genetic algorithm. It then uses this model to generate paths for the next generation and optimizes obstacle-avoidance paths using edge information.
Conventional path generation methods using genetic algorithms require numerous parameters, such as crossover and mutation rates, to derive an optimal path. Furthermore, because the differences in information between generations are small, they require significant computational power and time to reach convergence.
This technology selects dominant individuals based on the evaluation values of paths from previous generations and determines a node probability model based on the inclusion ratio of nodes within those paths, thereby increasing the probability of successful path generation. Additionally, it defines node pairs without obstacles as "edge information" to reset the node connection sequence, which skips the obstacle-checking phase and improves computational efficiency.
This technology generates 3D interpolated images of the corresponding healthy bone area for fracture reduction procedures. By overlaying and comparing these with images of the fractured area, it visualizes bone alignment in real-time and controls the reduction process via a drive unit.
During fracture and musculoskeletal repair surgeries, 2D imaging alone makes it difficult to accurately assess bone rotation or alignment, often requiring repeated X-rays for real-time intraoperative monitoring.
This technology acquires multi-angle images via an imaging unit (X-ray, MRI, CT) and uses an image processing unit to extract the diaphysis and generate 3D interpolated images. A matching unit calculates the alignment of bone contours, while a path calculation unit and drive unit move the bone to the target position, with the entire reduction process managed by a control unit.
This technology estimates a robot's base position by combining motor encoder and inertial sensor (gyroscope, accelerometer) data. It corrects cumulative errors by resetting the current position to specific coordinates when the robot passes through high-reliability reception zones (within 1.5m, -50dBm or higher) defined around pre-mapped Wi-Fi access points.
Positioning methods in indoor environments that rely solely on motor encoders and inertial sensors are vulnerable to external disturbances and struggle to resolve long-term cumulative errors. Furthermore, conventional methods that directly convert wireless LAN signal strength into distance information suffer from low precision due to signal instability caused by environmental factors.
This technology integrates a robot system, a wireless network system, and a positioning server to execute a position correction algorithm based on signal strength in proximity to access points. Specifically, it processes sensor data through a data fusion unit, switches to inertial sensor-based positioning during impacts, and resets position coordinates using signal strength thresholds near access points. Applicable to logistics transport, service robots, and autonomous platforms, it improves positioning accuracy by utilizing short-range wireless LAN signal strength for error correction.
This invention was developed with support from the Ministry of Education, Science and Technology for the development of renewable energy and intelligent robot convergence technology.
This technology is a power management system for mobile robots equipped with multiple energy sources, such as batteries, fuel cells, and solar cells. It features an integrated management mechanism that dynamically switches between energy sources and controls the return to automatic charging stations by monitoring remaining power levels and measuring the distance to chargers.
The limitations include the restricted operating time of single-battery mobile robots, which hinders continuous mission performance and necessitates frequent user intervention, as well as the lack of efficient switching and management when using multiple energy sources.
This technology incorporates BMS, FCMS, and SCMS within the robot's power management unit to independently monitor the status of each energy source. Through a wireless communication management unit, it calculates real-time data on remaining power and distance to the charger to determine mission feasibility, triggering automatic returns and energy source switching as needed. Applicable to robot gripping, precision measurement, and automated equipment, this system efficiently manages diverse power sources and provides stable, versatile power to robots, thereby extending the operational time of continuous pollution monitoring robots.
This invention was developed with support from the Ministry of Education, Science and Technology for the development of renewable energy-based intelligent robot convergence technology.
This technology is a pelvic support structure that combines linear motors and guide rail-based rotation mechanisms to simulate the three-axis (pitch, roll, and yaw) movements of the human body. It includes a variable width adjustment mechanism to accommodate changes in waist circumference and a strap-based fixation structure.
The limitations of conventional robotic suits include unnatural three-axis rotation due to fixed waist support structures, a lack of flexibility regarding body type variations, and reduced user comfort and fit during wear.
This technology supports upper body rotation through a T-shaped support and a semi-circular pitch guide rail, while connecting the C-shaped support and lower limb supports to allow for roll and yaw rotation. Linear motors are positioned on each axis to provide power assistance, and the system includes a body-type adjustment feature that uses motors to control the distance between the T-shaped support and the side supports.
This technology features an H-shaped upper arm driven by an internal motor and a lower arm connected beneath it, utilizing a guide mechanism (fixing members and guide members) to support and direct the rotation of the arms. Through an encoder-type DC motor and a control unit, the arms can be operated in synchronization or independently, while cushioning members ensure secure object gripping.
Conventional robotic arms suffer from inefficiencies due to complex mechanical configurations and control mechanisms, which increase production costs and lead to significant downtime for repairs and replacements.
This technology simplifies the structure by integrating the drive unit, adjustable connecting members, upper and lower arms, and guide means that support and direct the arm joints, thereby enhancing ease of assembly and control.
This technology features a rideable structure that supports the user's lower body and includes a saddle. It assists walking by driving a balancing unit, composed of a central actuator and wings, along with two wire-connected pivoting links that simulate hip and knee joints.
Conventional wearable walking assist devices suffer from low power transmission efficiency due to the distance between the power transmission arm and the joints. They are also structurally complex, struggle to assist with standing due to motor capacity limitations, and are prone to damage as loads concentrate on specific mechanical components.
This technology includes a saddle for the user to sit on. A walking actuator mounted on a horizontal support drives two wire-connected pivoting links to simulate the joint structure of the lower limbs, while suspension and tilt/gyro sensors ensure walking stability and shock absorption.
This technology is a lower limb support mechanism using a multi-degree-of-freedom ring-type joint structure. It supports pitch/yaw movement of the knee and roll/pitch movement of the ankle. By placing linear motors at each joint and section, the exoskeleton frame structure allows for length adjustment based on the wearer's body type and provides active muscle strength support.
Existing robot suits face limitations in implementing multi-degree-of-freedom joints due to fixed structures, resulting in poor fit, lack of flexibility in size adjustment for different body types, and issues with peripheral interference and control responsiveness when using hydraulic or artificial muscle actuators.
This technology adopts a ring-type multi-degree-of-freedom structure, incorporating a pitch rotation axis and yaw rotation guide structure at the knee joint, and a C-shaped roll/pitch guide rail at the ankle support. It is configured to actively adjust the lower leg clearance and foot support length using linear motors and connecting rods.
This technology is a wireless control system for an implantable helical microrobot that generates its own power to operate a light-emitting unit by acquiring induced electromotive force from an external magnetic field generator.
Conventional microrobots face limitations in performing therapeutic tasks and tracking their position within the human body due to the difficulty of providing a separate power supply for wireless operation.
This technology features a microrobot with a metallic head and a helical body that rotates and moves in response to an applied external magnetic field. During this process, it generates induced electromotive force from magnetic field changes to power a stacked LED (light-emitting unit). Applicable to industrial robots and automation systems, it improves the ability to position and perform therapeutic actions within the human body using induced electromotive force and wireless operation.
This invention was developed with support from the Ministry of Education, Science and Technology for the development of bio-mimetic biosensors and medical robot convergence technology.
This technology provides a method for multiple slave robots to collaboratively operate a valve using a jig. It features a control mechanism where robots measure valve dimensions to set gripper coordinate systems and then rotate the valve by alternately gripping the jig based on generated paths.
When a single robot lacks sufficient torque or the valve's rotation range exceeds the robot's workspace, remote control of a single unit is limited. Furthermore, manual remote operation of the entire process leads to high operator fatigue and reduced efficiency.
This technology utilizes two or more slave robots to generate motion paths for each unit through a collaborative and autonomous command generation device. While gripping the jig, the robots measure valve dimensions and use this data to rotate the valve by alternately gripping the jig. It includes a safety control function that halts path tracking if excessive force is detected via contact force sensors. Applicable to logistics, service robots, and autonomous platforms, this system enables remote operation of multiple robots, reduces the need for human intervention, and improves overall task quality and efficiency in remote environments.
This invention was developed with support from the Ministry of Knowledge Economy for the development of remote operation service engines and force-feedback remote-controlled robot system technologies for remote tasks.
This technology is a wearable lower-limb robot for gait training on a treadmill. It includes hip, knee, and ankle joints, and specifically features a footplate integrated with a motor and a shock absorber to assist with ankle rotation, as well as a sliding connection to the support frame to facilitate vertical movement during walking.
Conventional gait training devices often suffer from low stability due to complex, non-independent joint control and struggle to effectively prevent foot drop caused by insufficient ankle strength in patients with lower-limb paralysis.
This technology includes a footplate equipped with a motor to drive and control ankle rotation and a shock absorber (spring or gas spring) to prevent sudden movements, a multi-disk shoe link structure that allows for lateral rotation, and a hip joint connection structure that slides along the support frame to assist with vertical movement.
