This technology is a glove-type wearable device that converts the stroke changes of a pneumatic cylinder into bending and extending motions of the finger joints using a pulley-based stroke compensation member and a wire system. It utilizes an external pneumatic source (e.g., a firefighter's air tank) and enhances gripping force by controlling cylinder actuation via finger pressure sensors.
Existing electric motor-based assistive devices require large batteries and motors to generate high output, which increases the weight and places a significant burden on the user, leading to accumulated muscle fatigue when handling heavy objects.
This technology optimizes device weight by incorporating a pneumatic cylinder and wire connection structure, while the stroke compensation member (pulley mechanism) ensures a wide range of motion for finger joints even with minimal stroke changes. Additionally, it features a control unit based on pressure sensors that detect fingertip pressure and open/close valves to automatically assist with grip. Applicable to firefighting, industrial sites, strength assistance, and rehabilitation, it increases gripping force without the need for large batteries, thereby reducing muscle fatigue and musculoskeletal strain.
This technology is an upper limb exercise assist device coupled with a multi-joint robot. It detects upper limb movement by placing multiple 1-axis force sensors (load cells) in an open-type cradle that accommodates the user's forearm, and generates robot motion control signals by detecting the user's intended hand rotation through a separate pronation/supination sensing mechanism.
Conventional 6-axis force-torque sensors are expensive, and because the user's arm must be firmly fixed to the robot, it is difficult for the user to escape in the event of a system malfunction, posing a safety risk.
This technology ensures safety and simplifies the controller by using an open-structure cradle with distributed low-cost 1-axis force sensors to detect user movement, and a pronation/supination sensing mechanism featuring a cam and spring to identify user intent. Applicable to logistics picking, service robots, and manufacturing automation, it reduces malfunctions and emergency incidents in multi-joint robots, improves the accuracy of user intent detection, and provides better power assistance in the direction of upper limb movement.
This invention was developed with the support of the Ministry of Science, ICT and Future Planning for the development of an active exercise system based on human-robot collaboration technology to improve upper limb motor function in the elderly and infirm.
This technology is a mechanical mobile platform located beneath a manipulator that detects ground inclination in real-time and controls multiple independently driven cylinders to maintain the level of the upper frame, allowing it to actively adapt to changing terrain.
Conventional caterpillar-type mobile platforms have fixed front and rear sections, which cause instability in the manipulator's posture on inclined terrain and limit movement in narrow spaces due to the inability to adjust width when navigating obstacles.
This technology features first and second pivoting plates on either side of a central coupling plate, with sensors installed on each base plate to measure ground inclination. By extending or retracting independent cylinder sets placed between each pivoting plate and base plate, it achieves precise horizontal control of the upper frame and variable movement width. It can be applied to robotic gripping, precision measurement, and automated equipment, enhancing operational stability and efficiency by maintaining the level of the upper frame.
This invention was developed with support from the Ministry of Science, ICT and Future Planning for the development of a reinforced concrete chipping robot system for the maintenance of covered structures.
This technology relates to a flexible dome-shaped tactile sensor capable of 3-axis force measurement, a tactile sensor array, and a manufacturing method thereof, utilizing a hemispherical bump structure to simultaneously detect normal and shear forces.
Conventional tactile sensors have faced limitations in applications involving human contact or attachment to curved surfaces due to spatial constraints, high manufacturing complexity, and a lack of flexibility.
This technology features a flexible structure with stacked lower electrodes, a sensing layer, upper electrodes, and hemispherical bumps to resolve and measure 3-axis forces. It can be expanded into an array to map tactile distribution and is suitable for use in robot hands and wearable devices.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of tactile/texture augmented reality actuator technology for remote operation of power facilities using flexible thin-film actuators of 0.5 mm or less.
This technology relates to a string-replacement cartridge for a string-twisting actuator and the actuator itself, allowing for the replacement of consumable strings as a modular cartridge unit.
Fiber strings are consumables that wear out or break due to repeated twisting; however, existing designs require the actuator to be disassembled for replacement, making maintenance cumbersome and time-consuming.
By modularizing the string and the fixing unit into a single cartridge and combining it with a detachable rigid module, this technology enhances durability while significantly simplifying the replacement process.
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 durable safe drive modules based on string twisting, utilizing string surface strengthening, variable radius pulleys, and hybrid drive control; the development of a human-augmentation hybrid robot suit capable of safe 100m traversal in 7 seconds and comfortable 12-hour wear; and the Ministry of Science and ICT’s Human-Centered Soft Robot Technology Research Center.
This technology is an intelligent muscle strength and gait assistance robot that integrates an exoskeleton worn on the user's lower body with a caster walker as a gait aid via an arm, and minimizes power transmission distance by installing actuators directly on the hip and knee joints.
Conventional gait aids suffer from low mechanical efficiency and complex structures due to the long power transmission distance between the actuator and the joint, as well as risks of detachment and structural instability caused by the separation of the arm and the exoskeleton.
This technology proposes a method of positioning the joint actuators on the exoskeleton rather than the arm and integrating the arm and exoskeleton into a single unit. It can be applied to lower limb rehabilitation and muscle strengthening training, maximizing power transmission efficiency, simplifying control, and ensuring structural stability.
This technology is a parallel gripper that performs a scooping motion upon ground contact without complex control by combining a first drive mechanism that induces passive vertical movement at the contact point with a second drive mechanism that induces passive rotation.
Conventional rigid grippers struggle to adapt to various shapes, soft fin-ray grippers lack gripping precision and force, and existing finger mechanisms often fail to interact with the surrounding environment upon ground contact, hindering the gripping process.
This technology proposes a method where a joint section based on a Mecha-Hartz mechanism induces vertical movement and compliance at the contact point, while a link unit and pressure section implement rotation and scooping. It can be applied to logistics picking, disinfection robots, and picking up objects from the floor, allowing for the stable retrieval of thin objects on the ground without the need for additional sensors or control.
This invention was developed with support from the Ministry of Science and ICT for the development of task design and control algorithms for intelligent autonomous disinfection robots.
This technology is an optimization-based calibration method designed to calibrate extrinsic parameters—the relative positions between multiple 3D LiDAR sensors. It extracts planar information from measured point clouds, calculates initial values through similarity analysis between reference and corresponding planes, and minimizes the variance of measured points.
Existing methods using artificial markers require additional environmental setup and costs. Point cloud registration-based techniques often fail when there is a significant difference in the field of view between sensors, while methods relying on trajectory data are prone to estimation errors.
This technology sequentially performs data collection, plane extraction, corresponding plane detection, and the calculation of initial and final extrinsic parameters, calibrating based on planes that satisfy mathematical conditions such as planarity and normal direction variance. It can be applied to autonomous vehicles and multi-sensor robots, providing an economical solution for immediate on-site sensor alignment without the need for specialized calibration equipment.
This invention was developed with support from the Ministry of Science and ICT and the Ministry of Agriculture, Food and Rural Affairs for the training and research of personnel in unmanned agricultural production automation.
This technology is a control device and method for a wearable gait assistance robot that measures a user's muscle activity signals using EMG sensors, quantifies muscle strength through signal analysis, and controls the level of assistance by subtracting the user's residual muscle strength from the total power required for robot operation, thereby encouraging active muscle engagement.
Existing gait assistance robots focus on supporting patients with complete paralysis. When used by patients with partial muscle strength, these robots often lead to total reliance, resulting in muscle atrophy or risks of injury due to a lack of synchronization between the user's muscle movements and the robot's assistance.
This technology analyzes current muscle strength based on EMG signals and calculates the necessary assistance by subtracting the user's strength from the total required power, while setting the driving power at a predetermined lower ratio to encourage voluntary muscle participation. It can be used for stroke rehabilitation and gait training for the elderly, preventing robot dependency and enabling active rehabilitation that enhances residual muscle strength.
This technology collects brain signals generated by applying distinct tactile stimuli to both of the user's feet to induce motor imagery. It removes motion artifacts generated during robot movement using reference signals and independent component analysis, then calculates walking intent, speed, and stride length through a brain signal classifier to control the wearable robot.
Existing brain-machine interface technologies face challenges in intuitively distinguishing between right and left foot movement intentions during rehabilitation for patients with lower-limb paralysis, and the motion artifacts generated during robot operation distort brain signals, leading to lower accuracy in intent recognition.
This technology proposes a method that induces EEG patterns by applying tactile stimuli of different frequencies to the left and right feet, removes motion artifacts in real-time by using the robot's inertial sensor values as reference signals, and distinguishes walking intent through a multi-classifier ensemble. It can be used for the rehabilitation and gait reconstruction of patients with lower-limb paralysis, enabling intuitive robot control that accurately reflects the user's intent.
This invention was developed with support from the Ministry of Science and ICT under the project "Development of Non-invasive BCI Integrated Brain-Cognitive Computing SW Platform Technology for Controlling Real-life Devices and AR/VR Devices with Thoughts" (BCI-General/Sub-project 1) and "Development of BCI-based Brain-Cognitive Computing Technology for Recognizing Human Intent Using Deep Learning" (BCI-Sub-project 2).
This technology is a wearable upper limb rehabilitation device that implements rotational movement of a glove through wire winding and unwinding, and secures a comfortable fit by tightening and loosening the arm support using a wire-driven mechanism.
Conventional upper limb rehabilitation devices are bulky and heavy due to their frame and stand configurations, and are limited to use in fixed locations, which reduces accessibility for patient rehabilitation training.
This technology proposes a method where a fixing member is placed on a glove worn on the user's hand, support is adjusted via a tightening motor and wire within an anchor member that wraps around the forearm, and a length-adjustment motor controls a rotation wire to induce vertical rotational movement of the wrist joint. This enables a lightweight, wearable structure that allows for rehabilitation training anywhere. It can be used for upper limb rehabilitation in stroke patients and for home-based self-training, significantly improving rehabilitation accessibility and the patient's quality of life by removing location constraints through its lightweight, wearable design.
This invention was developed with support from the Human-Centered Soft Robotics Research Center of the Ministry of Science and ICT.
This technology is a mobile robot device that performs hide-and-seek scenarios between a robot and a user based on video information from a camera and spatial information from a distance sensor. It features control technology that tracks the user via video during "seeker" mode and plans a path to a concealable location using surrounding obstacle information during "hider" mode.
Existing robot toys with simple combat functions fail to encourage physical activity in users and lack diversity in play, particularly in terms of emotional exchange and interaction between the user and the robot.
This technology proposes a method where a motion controller manages the drive unit based on "seeker" and "hider" modes, utilizing a camera for user recognition and light level detection, and a distance sensor for environmental awareness. It enables emotional interaction with the user by displaying facial expressions on a screen and providing audio feedback through a speaker. It can be applied to educational toys, children's play robots, and emotionally responsive service robots, offering a new direction for the robot toy market by encouraging both physical activity and emotional engagement.
This technology is a minimally invasive surgical robot system that remotely controls the 3D position and orientation of an endoscope by sensing the pitching, yawing, and rolling movements of a surgical headset, while preventing physical collisions by calculating the centerline distance between the endoscope and the robotic arm.
Existing systems often require surgeons to control robotic arms and endoscopes using both hands or foot pedals, which disrupts the surgical workflow, demands high operational proficiency, causes user fatigue from constant focus on large monitors, and reduces spatial efficiency.
This technology proposes a method that transmits headset orientation data based on the user's head movements to a control unit, which then automatically executes the endoscope's vertical/horizontal rotation and forward/backward movement, while providing 2D and 3D surgical views through the headset's display. By controlling distance thresholds between the robotic arm and the endoscope to avoid interference, it enhances both surgical continuity and safety. Applicable to a wide range of minimally invasive procedures, including laparoscopic and robotic surgeries, it offers a solution that reduces the surgeon's operational burden and fatigue while simultaneously improving surgical flow and safety.
This invention was developed with support from the Ministry of Science and ICT for research on the development of next-generation surgical robot systems through collision avoidance for surgical robot arms.
This technology is a finger prosthesis device utilizing an underactuated mechanism. It transmits rotational force from the first axis to the second body via an elastic element. When the rotation of a specific link is restricted, the deformation of the elastic element allows the third body to rotate independently, enabling an adaptive grasp that conforms to the shape of an object.
Conventional robotic prostheses require multiple actuators to mimic the movement of individual finger joints, leading to complex structures. These designs struggle to provide flexible grasping capabilities that adapt to object shapes and often lack user comfort.
This technology achieves multiple degrees of freedom with fewer actuators through an interlocking structure between the first and second bodies that incorporates elastic elements. It also features a rolling contact mechanism using wires and pulleys at the terminal device to ensure stable torque transmission through tension control. Applicable to prosthetics, rehabilitation aids, and wearable robots, it allows for flexible adaptation to object shapes with fewer actuators while enhancing wearer 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 prosthetic hand mechanism that achieves independent bending/extension and adaptive grasping of multi-degree-of-freedom links by distributing the motor's rotational force to each joint frame through elastic members and wires within a transmission frame.
Conventional prosthetic hands suffer from non-independent finger joint movement, making adaptive motion to object shapes impossible and hindering the implementation of natural movements such as finger abduction and adduction.
By placing an elastic member between the motor's rotation axis and the wire tension adjustment plate, this technology enables independent rotation and adaptive grasping of individual links through elastic deformation upon contact with an object. It can be applied to prosthetic hands, rehabilitation aids, and wearable robots to achieve natural grasping tailored to object shapes through independent finger actuation.
This invention was developed with support from the Ministry of Science and ICT for the development of biomimetic bionic arm mechanisms.