This technology is a vision tracking system and method that separates a mobile first body from a second body equipped with a vision sensor. It maintains target tracking performance by compensating for the movement of the first body using distance sensor-based feedforward control combined with feedback signals from the vision sensor.
Previously, vibrations or sudden directional changes during the operation of mobile robots caused targets to move out of the field of view of vision sensors fixed to the same body, or resulted in motion blur, leading to reduced recognition accuracy.
This technology proposes a system that detects the movement and rotation of the first body using distance sensors to drive the second body in the opposite direction via a feedforward control system, while simultaneously integrating feedback signals from the vision sensor itself. This allows for real-time correction of the second body's position and orientation, enabling stable target tracking. Applicable to patrol robots, mobile filming equipment, and logistics robots, it significantly enhances the practicality of robot vision systems by maintaining target tracking even during driving vibrations and sharp turns.
This invention was developed with support from the Ministry of Knowledge Economy for the development of u-Robot HRI solutions and core component technologies.
This technology is a vision tracking system that independently controls a first body responsible for the mobile robot's movement and a second body equipped with a vision sensor. It calculates predicted movement information from the first body's drive commands and uses this to calibrate the orientation of the second body in real time.
In conventional systems, the robot's drive unit and vision sensor are fixed to the same body, causing the target to move out of the field of view or resulting in motion blur during movement, which degrades recognition rates and accuracy.
This technology proposes a method of generating control signals for the second body by combining predicted movement information derived from the first body's drive commands with actual movement data from sensors such as inertial measurement units. By using image data as a feedback signal to measure disturbances, it can actively calibrate the orientation of the second body. It can be applied to mobile surveillance robots, camera drones, and autonomous vehicles, significantly improving image recognition accuracy by maintaining a stable focus on targets even while in motion.
This invention was developed with support from the Ministry of Knowledge Economy for the development of u-Robot HRI solutions and core component technologies.
This technology is a body-mounted, convertible manipulator structure designed to assist with upper-limb strength. It features multiple foldable links and a four-bar linkage-based hand lift, providing a mechanical interlocking mechanism that allows the device to be unfolded only during heavy-duty tasks and folded and secured to the body when not in use.
Conventional fixed-type manipulators suffer from installation space constraints and reduced mobility, while upper-limb robots integrated with lower-limb exoskeleton robots often cause reduced walking speed and lower drive efficiency due to the added load on the lower-limb structure.
Based on a body-mounted frame, this technology utilizes a variable foldable joint structure incorporating link guide members and lift-locking components. The connecting links ensure that the foldable links and the hand lift are synchronized during deployment and retraction. When not in use, the lift is secured tightly against the body using the opening of the lift-locking component and an elastic support. This design enhances mobility and operational convenience, making it suitable for industrial strength assistance, logistics, and rehabilitation.
This invention was developed with support from the Ministry of Science, ICT and Future Planning for the development of affordable medical assistance robots through the convergence of remote medical services and robotics technology.
This technology is a semi-automated robotic system that precisely controls the axial advancement and rotational movement of catheters and guidewires for vascular intervention procedures. It features a telescopic structure that supports and guides the catheter, and consists of a catheter rotation unit, a guidewire rotation and feed unit, and a transport unit (rack and pinion).
Existing vascular intervention procedures have faced challenges such as radiation exposure for medical staff, long procedure times due to manual operation, and limited vascular application range and high costs associated with the large outer diameters (4mm or more) of existing robotic systems.
This technology implements a semi-automated system that utilizes existing surgical tools while automating the segments where radiation exposure is most concentrated (catheter and guidewire insertion and rotation). The 4-DOF drive mechanism is designed with a telescopic structure to prevent catheter sagging, and its detachable design ensures ease of sterilization and space efficiency. Applicable to vascular interventions, robotic surgery, and medical automation, it reduces radiation exposure for medical staff while improving procedural precision and efficiency.
This invention was developed with support from the Ministry of Science, ICT and Future Planning for robotic system technology aimed at reducing radiation exposure and improving procedural accuracy in transarterial chemoembolization for liver cancer.
This technology is a gripper control algorithm that calculates contact and gripping forces through physical modeling—accounting for gravitational acceleration, geometric angles between components, and friction coefficients—based on the 3D spatial orientation of a gripper holding a cylindrical object, thereby deriving the optimal driving force.
Although the force required to grip an object varies depending on its spatial orientation, conventional technologies have suffered from reduced operational efficiency because they either provide gripping force for only specific orientations or lack the capability for intelligent gripping force control across all spatial orientations.
This technology precisely controls gripper output by calculating the first and second contact forces between each component and the object, considering the gripper's pitch and roll, and computing real-time gripping and driving forces using formulas that incorporate the object's mass and geometric shape. Applicable to logistics picking, service robots, and manufacturing automation, it improves the efficiency and accuracy of gripper operation control by precisely calculating clamping and driving forces.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of end-effector technology for rescue robots.
This technology implements a 6-DOF air hole drilling system optimized for 3D irregular mold surfaces by combining a sliding joint (2-DOF) that moves along a curved rail based on a spherical coordinate mechanism with a rotary joint (4-DOF) that controls the drilling tool.
Conventional radial drilling machines are limited to vertical machining, making them unsuitable for irregular curved surfaces. Relying on manual labor leads to reduced efficiency, increased processing time, bottlenecks, and inconsistent production quality.
This technology positions the manipulator on a curved coordinate system using cross-arranged curved rails and sliding joints. It performs automated drilling by driving rotary and linear joints based on control signals derived from drawing analysis and simulation. Each joint is equipped with an electronic brake to maintain high rigidity during drilling. Applicable to industrial robots and automation systems, it improves the reliability of mold air hole machining and production speed by moving the robot manipulator along the curved coordinate system.
This invention was developed with support from the Ministry of Science, ICT and Future Planning for research on neural robot technology based on physical and cognitive interaction.
This technology is a robot control system that manages robot movement via a user-worn device consisting of motion sensors and an HMD that tracks eye status, adjusting the robot's motion restriction range based on the user's eye state.
When remotely controlling a humanoid robot using only user gestures, safety accidents can occur because the robot continues to mirror the user's movements even when the user is not actively monitoring the robot's situation.
This technology proposes a method that uses the HMD's eye-tracking camera to determine if the user's eyes are closed, thereby controlling the robot's motion restriction range while streaming the robot's camera feed directly to the HMD. Applicable to remote-operated robots and hazardous task automation, it prevents malfunctions when the user is not looking, ensuring both safety and operational stability.
This technology is a navigation device for an underwater image processing unit that saves images and locations as checkpoints during free movement, and calculates and corrects relative position errors by comparing real-time captured images with stored images during retracing.
Using dead reckoning in underwater environments leads to cumulative sensor errors, limiting accurate positioning. In particular, there has been a lack of means to correct a robot's position in featureless underwater environments.
This technology proposes a method that uses feature point matching when feature points are detected in an image, and applies a Fourier transform to derive position errors when they are not. It can be applied to underwater exploration robots and marine structure inspection equipment, ensuring reliability in returning accurately to the original path even in homogeneous underwater environments without feature points.
This technology is a control method that detects the joint torque of a redundant robot manipulator in real-time and compares it with estimates based on a dynamic model to separate normal force-control reaction forces from abnormal external forces, automatically switching the operation mode during abnormal situations.
Existing force-controlled robots based on joint torque sensors struggle to clearly distinguish between normal task reaction forces and abnormal external collision forces, making it impossible to implement efficient control for preventing safety accidents and protecting the robot during collisions.
This technology proposes a method that constructs an external force estimation observer using joint torque sensor data and a Jacobian matrix, filters out task reaction forces, extracts abnormal external force torque, and calculates a collision detection index. It can be applied to collaborative robots and assembly automation equipment, significantly improving safety by accurately identifying collisions while maintaining normal operations.
This technology enhances target assignment accuracy by first calculating probabilities through primary matching of multiple measured legs extracted from distance sensors with target legs using the SJPDAF technique, followed by secondary posterior probability calculation through leg-pair based grouping.
Existing technologies often treat leg measurements as independent targets or simply group the two closest legs, which leads to tracking errors in crowded environments when target legs are swapped or only a single leg is detected.
This technology introduces a new posterior probability calculation algorithm that considers not only individual elements but also combinations of two legs by adding a leg-pair grouping step to the existing matching process. It can be applied to service robots that follow people, such as guide robots and luggage transport robots, ensuring stable tracking of the target person without losing them even in crowded spaces.
This technology features a mobile robot capable of navigating fluid environments by utilizing a motor and impeller positioned along the central axis of a cylindrical open-frame structure, allowing for self-propulsion while maintaining fluid flow. A crushing unit at the front of the motor shaft and an impeller at the rear enable the robot to simultaneously break down, collect, and clear debris while in motion.
Existing robots used in narrow pipes or fluid environments often obstruct fluid flow and struggle to efficiently combine self-propelled movement, data collection, and debris removal.
This technology introduces a cylindrical body with open front and rear ends, a propulsion structure that minimizes flow resistance using a motor and impeller, a rotating shaft-linked debris crusher, and a rear debris collection unit. Air bearings installed on the outer wall prevent collisions and maintain stability, allowing the robot to navigate pipe interiors reliably. Applicable to the inspection and cleaning of water mains and piping systems, it significantly reduces maintenance costs by performing movement and debris removal simultaneously without disrupting fluid flow.
This technology is a flapping-based underwater robot that achieves combined twisting and bending motions within a flexible base material through the physical integration of intelligent materials that respond to external control signals and directional materials that restrict deformation in specific directions.
Existing structures based on intelligent materials are limited to linear or out-of-plane bending, and technical challenges regarding miniaturization and continuous motion have persisted due to complex structural designs and bulky drive components.
This technology proposes a method to induce a difference in twisting angles between the first and second strokes by designing the placement of intelligent materials and the physical orientation of directional materials. This allows for efficient underwater thrust generation without the need for complex joints or multiple motors. It can be applied to underwater exploration, marine monitoring, and small underwater drones, achieving both miniaturization and low power consumption by utilizing material properties for propulsion instead of complex mechanical parts.
This invention was developed with support from the Ministry of Education, Science and Technology for biomimetic soft morphing-based technology and the development of design and production technology for multi-scale, multi-deployable collaborative robots.
This technology is a SLAM system that generates an initial SLAM map frame by receiving environmental photos and information from a user terminal, and subsequently expands and modifies the map by integrating sensor data collected as the mobile robot navigates.
Conventional SLAM requires robots to explore the entire environment to build a map, which is time-consuming and inefficient, as it often necessitates repeating the entire mapping process to modify or expand parts of an existing map.
This technology proposes a method that uses environmental photos taken from a user terminal to set landmarks and create a basic map framework in advance. When a command to modify or expand the map is received, it performs local updates based on photos of specific areas or moves to the location to integrate real-time data. This reduces mapping time and enables efficient map management. Applicable to home service robots and indoor delivery robots, it significantly reduces initial setup time and enhances user convenience by securing the basic map framework using only photos provided by the user.
This technology is a manual lift mechanism that utilizes the elastic energy of a leaf spring. It uses a trigger and wire system to control the locking state of a ratchet and pawl, assisting in the lifting and positioning of objects.
Conventional electric lift systems require an external power source, and the use of motors and precision gears leads to high manufacturing costs and installation limitations.
This technology features a dual-ratchet and double-clutch pawl actuator system to mechanically control the winding and unwinding power of a leaf spring. It allows for lifting or securing heavy objects through simple trigger operation without the need for electricity. It can be applied to exoskeleton robots, industrial strength-assist devices, and logistics operations, reducing manufacturing costs and installation constraints by eliminating the need for electrical power.
This technology is a robotic prosthetic structure based on a 5-bar linkage that attaches to the proximal phalanx of an amputated finger and is powered by the user's own movement.
Conventional robotic prosthetics often stop moving upon contact when grasping objects, leading to unstable grip, or require external actuators, which limits the implementation of prosthetics powered by the body's own movement.
This technology applies a 5-bar linkage mechanism designed to automatically adapt to the shape of an object upon contact by separating the links responsible for flexion/extension and grasping, and incorporating elastic members and angle-limiting elements. It can be applied to prosthetics, rehabilitation aids, and wearable devices, enhancing grasping capability by adapting to various shapes without the need for external actuators.
This invention was developed with support from the Ministry of Education for research on replaceable bio-finger systems.