This technology provides a microrobot mechanism for precise steering and drilling within blood vessels, utilizing a magnetic microrobot that generates rotational torque via an external magnetic field, along with a connector and ball bearing structure that attaches it to a catheter.
Conventional catheter-based vascular procedures lack a dedicated drive unit, making precise steering difficult, while high-speed rotational drilling poses a high risk of damaging the inner vessel walls.
This technology features a detachable connector and ball bearing at the catheter tip, combined with a magnetic microrobot containing an internal magnet, allowing for precise rotation and drilling control at low speeds through external magnetic field manipulation. Applicable to surgical robots, interventional systems, and medical automation, it improves operational speed control and enables safer surgical procedures in complex blood vessels.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of a micro-medical robot system for treating chronic total occlusion in myocardial infarction.
This technology uses multiple sensors to detect a robot driving on a track, calculates its position and speed in real time, and controls the timing of a drop module to simulate collisions between the robot and falling objects or to replicate post-fall avoidance scenarios, thereby quantitatively evaluating the robot's performance.
It is difficult to replicate actual collapse scenarios at disaster sites, and there is a lack of automated systems capable of accurately predicting the timing of falling objects to objectively and quantitatively evaluate a robot's collision or avoidance performance.
This technology calculates the robot's position and speed using sensor modules installed at entry, passage, and exit points. It precisely controls the drop module by calculating the time difference for the drop based on the weight and height of the falling object, while simultaneously automating the recording intervals of camera modules based on sensor detection to efficiently capture experimental data. Applicable to logistics transport, service robots, and autonomous driving platforms, it provides a more realistic and objective testing system capable of simulating collisions or avoidance scenarios in collapse disasters, thereby improving the performance evaluation of disaster response robots.
This invention was developed with support from the Ministry of Public Safety and Security for the development of technology to establish field performance evaluation environments for special equipment and robots used in fire suppression, search, and rescue, taking into account grading, modularization, and standardization.
This technology relates to a twisted string actuator for hybrid operation, which drives robot joints by combining a twisted string drive unit with an auxiliary drive unit.
Conventional twisted string actuators suffer from asymmetric contraction and relaxation, leading to complex control and performance limitations due to the trade-off between force and speed.
By placing an auxiliary drive unit in parallel, this technology minimizes interference and compensates for the trade-off relationship, thereby improving the control performance and response speed of robot joints.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of core technologies for compact, lightweight, high-performance, and highly durable safe drive modules based on string twisting, utilizing string surface reinforcement, variable radius pulleys, and hybrid drive control, as well as the Ministry of Trade, Industry and Energy's Engineering Graduate School Support Program (Plant Engineering field).
This technology relates to a variable-stiffness muscle-assistive device and its control method using electrostatic static friction, which adjusts interlayer friction through voltage application to vary stiffness in real time.
Existing layer jamming actuators were difficult to apply in scenarios requiring high bending or torsional stiffness due to their structural characteristics, and they faced limitations in response speed and stiffness range.
By applying voltage to a multi-layered stack to generate electrostatic static friction and controlling stiffness accordingly, this technology improves both effectiveness and response speed in wearable robots and exoskeleton suits.
This invention was developed with support from the Ministry of Trade, Industry and Energy’s project for a human-augmentation hybrid robot suit capable of a safe 7-second 100m dash and 12-hour comfortable wear, and the Ministry of Education’s project for high-speed hand motion control using a variable-stiffness exo-glove.
This technology is a wheelchair-integrated lower limb exercise and rehabilitation device that combines a driving unit equipped with a drive motor and wheels, a lift unit that moves in a quadrant path via a four-bar linkage, and an exoskeleton worn on the user's lower body.
Existing wheelchair-based exercise and rehabilitation systems have been limited by safety issues during lifting, inefficient mechanisms, and restricted control over weight-bearing support.
This technology proposes a configuration where the main lift linkage and the lift frame work together to move stably along a quadrant path. It can be applied to lower limb rehabilitation for people with disabilities and the elderly, safely assisting with standing and sitting while providing the mobility of a wheelchair to significantly improve the user's quality of life.
This technology is a sonar image simulator that generates virtual sonar images using a 3D model-based ray tracing method, combines them with background noise images captured in actual underwater environments to create training images, and trains models to detect underwater objects.
Previously, it was difficult to secure large-scale sonar image datasets for training neural networks for underwater object recognition. Furthermore, collecting real-world data was time-consuming and costly, and discrepancies between simulated images and real-world environmental noise often led to degraded recognition performance.
This technology proposes a method to generate precise training data by simulating sonar images using 3D object models and sample rays, then synthesizing them with measured backgrounds to which Gaussian blur and noise level parameters have been applied. Applicable to underwater exploration, marine disaster prevention, and port surveillance, it significantly reduces data collection costs while enhancing detection performance.
This invention was developed with support from the Smart Underwater Tunnel System Research Center of the Ministry of Science and ICT.
This technology is a task allocation method and system that applies primal-dual heuristics to distribute tasks between two structurally heterogeneous robots, iteratively adjusting cost weights for each robot to minimize the maximum total travel cost.
Existing challenges included the difficulty of achieving efficient task allocation and path planning to balance task completion times and minimize the maximum travel cost of the entire system in environments where the two robots have different performance capabilities.
This technology proposes a method that assigns weights to each robot's travel cost, distributes destinations using primal-dual heuristics, and then adjusts the weights to reduce the higher value by comparing the calculated total travel costs to derive an optimal path. It provides a practical solution for significantly reducing total task completion time in environments where robots with different performance levels coexist, such as logistics warehouses, factory automation, and disaster prevention patrols.
This invention was developed with support from the National Research Foundation of Korea for the Intelligent Growth Autonomous Driving System for Unmanned Vehicles Operating Safely in Congested Residential Road Environments.
This technology is an upper limb assistive system that supports arm flexion and extension through a brace worn on the user's arm and a torsion spring-based hinge structure, while inducing active contraction of wrist and arm muscles via functional electrical stimulation to perform throwing motions.
Rehabilitation programs for patients with upper limb impairment due to conditions like stroke have traditionally relied on passive, repetitive electrical stimulation, often resulting in low patient engagement and limited therapeutic outcomes.
This technology integrates a latch-based trigger unit that locks and releases the arm's folded state with a torsion spring that provides elastic restorative force. A control unit synchronizes the timing of electrical stimulation with the trigger release, assisting the patient in performing an actual throwing motion. By being applicable to both stroke rehabilitation and sports-oriented therapy, it encourages active patient participation and interest, significantly enhancing rehabilitation effectiveness.
This invention was developed with support from the Ministry of Culture, Sports and Tourism’s project for hybrid smart clothing and monitoring systems for athletic performance enhancement, and the Ministry of Science, ICT and Future Planning’s Human-Centered Soft Robot Technology Research Center.
This technology is a robotic bronchoscopy system and control method using an AI-powered suction device that remotely controls a bronchoscope camera and suction catheter to access peripheral bronchi for specimen collection and mucus aspiration.
Conventional methods are highly dependent on the operator's skill level, making immediate intervention difficult in emergencies and lacking remote operation capabilities.
This technology proposes a method to remotely control a robotic device—comprising imaging and suction units—via an interface, while variably adjusting screen displays and drive inputs based on camera positioning. This enables stable procedures regardless of operator skill. It can be applied in environments where medical staff contact must be minimized, such as intensive care units and infectious disease wards, thereby enhancing both procedural safety and medical accessibility.
This technology is a control system for a wearable robotic glove that assists with grip strength by placing a single electromyography (EMG) sensor at the musculotendinous junction of the flexor digitorum superficialis to measure the Mean Absolute Value (MAV) of the EMG signal and identify the user's intent in real time.
Conventional multi-sensor EMG analysis methods require individual user training, precise sensor placement, and are prone to frequent malfunctions caused by body movement.
This technology proposes a method of controlling the glove's grip module by placing a single EMG sensor at the musculotendinous junction of the flexor digitorum superficialis and triggering the device when the measured MAV falls outside of user-defined activation and deactivation thresholds. This allows for stable grip enhancement with a simple configuration that eliminates the need for individual training. It can be used to assist workers in industrial settings and support daily activities for the elderly and patients, while the single-sensor design reduces production costs, accelerating the mass adoption of wearable robots.
This invention was developed with support from the Human-Centered Soft Robotics Research Center of the Ministry of Science and ICT.
This technology features a flight module and an aircraft equipped with it, where the thrust unit is connected to the interior of the flight module's body via a 2-axis joint to enable roll and pitch movements, allowing multiple modules to be combined to form variable aircraft configurations.
Existing multi-rotor aircraft face challenges in adapting to diverse missions due to takeoff weight limitations caused by thrust constraints, short flight times, and restrictions on the type and performance of onboard equipment.
This technology proposes a method to increase thrust and extend flight time by combining, separating, and rearranging multiple flight modules during flight. By using joints and actuators to control the thrust direction of each module, flight efficiency can be optimized. In industrial drone sectors requiring cargo transport, large structure inspection, and mission-specific configurations, this system dramatically increases operational flexibility by allowing performance to be scaled simply through module coupling.
This technology is a hip joint linkage for wearable robots that utilizes a four-bar mechanism consisting of multiple rotary joints and links to convert input torque from a single actuator into multi-directional output moments—including flexion, extension, abduction, and adduction—synchronized with the gait cycle.
Existing hip joint modules for wearable robots typically require multiple actuators to assist with multi-axial moments, leading to increased system weight and complexity.
This technology proposes a configuration where the drive unit is positioned at the first rotary joint, utilizing a four-bar linkage mechanism composed of six rotary joints and four links. By shifting the instantaneous axis of rotation, it can generate the appropriate output moment direction for each phase of the gait cycle—such as extension and abduction during the early phase, abduction during the mid-phase, and flexion and abduction during the late phase—using only a single actuator. Applicable to gait assistance, industrial strength support, and rehabilitation training, this solution significantly contributes to the lightweight design and cost reduction of wearable robots by enabling multi-directional assistance with a single motor.
This technology features an elastic knitted layer that wraps around the outer surface of an artificial muscle. By knitting conductive yarn into this layer, the sensor measures changes in the yarn's resistance as the artificial muscle expands or contracts, thereby detecting its deformation.
Conventional microchannel-based EGaIn sensors suffer from channel deformation under high-pressure conditions, which hinders accurate contraction prediction and reduces durability.
This technology utilizes a highly elastic knitted layer with conductive yarn integrated via plain or rib knitting. It prevents separation between the artificial muscle and the sensor layer using fixing loops and clamps, while a braided mesh ensures the conductive band structure remains stable. Suitable for wearable robots, soft actuators, and rehabilitation aids, it ensures accurate contraction prediction and enhanced durability even in high-pressure environments.
This invention was developed with support from the Ministry of Science and ICT for the development of biomimetic bionic arm mechanisms.
This technology implements a multi-degree-of-freedom (DOF) joint mechanism that uses string sets to minimize mechanical interference between joint components, absorb external shocks, and restore the initial posture.
Conventional robot arm joints suffer from user discomfort due to the transmission of external shocks caused by their rigid structures and the weight burden when worn as prosthetic limbs.
This technology connects joint components with string sets to reduce weight and allows each component to rotate while spaced at a predetermined distance, providing shock absorption and restorative force. It can be applied to robotic prosthetics, wearable robots, and collaborative robots to minimize external shock transmission while enhancing durability and comfort.
This invention was developed with support from the Ministry of Science and ICT for the development of biomimetic bionic arm mechanisms.
This technology is a mechanical mechanism that assists in the flexion and extension of human joints. It features a pair of wires and tendon modules with built-in individual torsion springs, enabling precise muscle strength assistance for each joint by calculating wire tension through torsion spring displacement measured by pulley encoders.
Conventional technology uses a single pulley for symmetrical joint movement, which leads to wire length imbalances. This makes it difficult to provide muscle support during irregular movements such as walking on stairs or inclines and limits control due to the inability to measure wire tension.
This technology applies independent tendon modules for each wire and installs torsion springs inside the pulleys to maintain wire tension and ensure back-drivability. It performs precise control by measuring human-robot interaction forces in real-time using the rotation angles calculated by pulley encoders and the spring constants. It can be applied to rehabilitation training, gait assistance, and medical/welfare services, improving precise control over joint movement and enhancing muscle strength support for daily activities.
This invention was developed with the support of the Ministry of Trade, Industry and Energy for the development of a wearable robotic system consisting of a 50W-class drive module for human muscle strength assistance and a human-robot muscle model-based control technique.