This technology is a system that delivers power wirelessly to a microrobot equipped with a wireless power transmission module at the tip of a catheter, which can be detached at a specific point within the body. It includes a magnetic resonance-based wireless power transfer mechanism between the catheter and the robot, as well as an alignment and reconnection mechanism using ultrasonic sensors.
Existing microrobots require external magnetic fields to be induced deep into the body to supply power, which leads to significant energy loss and difficulties in securing sufficient space for procedures due to the need for large coil systems.
This technology utilizes a structure where a catheter transports the robot to a specific location, and after the robot is detached, the catheter's power transmission unit (helical/planar coil) and the robot's power supply unit exchange power via magnetic resonance. The reconnection and alignment of the catheter and robot are controlled through a positioning means (ultrasonic sensor). Applicable to surgical robots, interventional systems, and medical automation, it minimizes power supply efficiency degradation and enables stable data transmission, thereby enhancing the overall efficiency of power and data delivery.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of a microrobotic medical system for the treatment of chronic total occlusion in myocardial infarction.
This technology is a microsurgical instrument that utilizes the deformation of a tension pressure unit within a surgical robot arm to convert vertical physical movement into horizontal motion via a bent link structure, thereby driving the scissor mechanism to open and close the blades.
Existing surgical tools are limited to vertical movement because the scissor blades are aligned with the robot arm, which reduces accessibility and operational efficiency when dissecting or incising vertically elongated scar tissue.
This technology features a bent internal core that positions the scissor blades along a horizontal axis. It employs a mechanism that converts vertical transfer force into horizontal driving force by transmitting pressure changes from the tension pressure unit through a vertical transfer tube, a transfer connection tube, and a horizontal transfer tube. Applicable to surgical robots, interventional systems, and medical automation, it enables users to perform procedures with greater control and accuracy, thereby enhancing the precision and effectiveness of microsurgery.
This invention was developed with support from the Faculty Start-up Fund of the Ministry of Science, ICT and Future Planning.
This technology relates to a charging scheduling method and apparatus for multi-drone networks, where a mobile charging station determines the charging sequence for multiple drones.
Drones have limited mission durations due to battery capacity constraints, and in networks operating multiple drones, the efficient allocation of limited charging resources is a critical factor for system performance.
This technology improves the efficiency of resource allocation and overall system utility by determining charging priorities for each drone through an auction process and strategically deploying mobile charging stations.
This invention was developed with support from the Ministry of Science and ICT for research on 5G mobile communication technology for virtual reality between mobile entities.
This technology relates to a forearm structure featuring a wire mechanism for implementing and securing the rotational degrees of freedom of the radioulnar structure, simulating the pronation and supination movements of the human forearm in robotic applications.
Conventional robotic prosthetic hands are often heavier than actual arms, have limited degrees of freedom, and differ from the human body in both appearance and movement, making it difficult to achieve natural motion.
By using wires to implement and secure the intersecting rotational structure of the radius and ulna, this technology simultaneously ensures both rotational freedom and load-bearing capacity.
This invention was developed with support from the Ministry of Science and ICT’s Phase 2 (3rd) Bionic Wrist Design Technology Development project and the Human-Centered Soft Robot Research Center.
This technology is a Go game system that receives placement coordinates on a virtual board from a client, controls one of several robot arms to place a Go stone on a physical board, and manages the retrieval of stones by the robot arms when the game analysis indicates a removal is necessary.
Existing Go game systems were limited by physical space, as they required users to sit face-to-face with a robot, and they struggled to efficiently remove multiple stones when necessary.
This technology proposes a method where, when multiple stones need to be removed, a second robot arm is moved to an intermediate waypoint and held in standby before the first robot arm completes its removal operation. It can be applied to remote match services and educational or recreational game robots, providing an immersive gaming experience that transcends physical boundaries.
This invention was developed with support from the Ministry of Education for the development of fundamental source technology for a symptom-customized IoT multimodal social robot therapy engine platform, which features patient internal/external situational awareness and learning functions for the alleviation of antipsychotic disorders.
This technology reconstructs 3D seafloor terrain by cross-matching horizontal profile data acquired from multibeam sonar with vertical profile data from profiling sonar based on threshold points, and extracting feature lines using a weighted RANSAC algorithm.
Underwater optical camera use is limited, necessitating the use of sonar. However, 2D sonar images often suffer from lost height information, object distortion based on viewing angles, and low signal-to-noise ratios, making accurate seafloor reconstruction difficult.
This technology proposes a method to correct for lost height information by reflecting the difference in ultrasonic scanning angles between sonars to cross-calibrate and register horizontal and vertical profile data. It enables the acquisition of precise 3D terrain maps using only sonar, with applications in seafloor surveys, offshore plant design, and underwater tunnel construction.
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 reliability evaluation method for mobile robot localization that estimates the distance type of laser range sensor measurements and calculates reliability weights for those types through sample pose-based reference distance calculation and distance error analysis.
Existing laser range sensor-based localization suffers from degraded scan-matching performance when measurements are distorted by dynamic obstacles, environmental changes, or optical anomalies such as glass and mirrors.
This technology proposes a method that extracts preliminary samples from an estimated pose to generate a ray-tracing-based reference distance set, estimates the distance type based on the error from the measured distance, and then calibrates the observation model's reliability by combining the frequency and deviation of the types. It can be applied to service robots in commercial facilities with many glass walls, fundamentally reducing localization failures caused by reflection and transmission.
This invention was developed through the following projects: the Intelligent Growing Autonomous Driving System for Unmanned Vehicles Operating Safely in Congested Residential Road Environments (Ministry of Science, ICT and Future Planning); the Development of Commercial-Grade Autonomous Driving Controllers for Unmanned Transport Robots in Diverse Environments (Ministry of Science, ICT and Future Planning); the Development of Learning-Based Robot Mobility Intelligence for Robust Indoor/Outdoor Integrated Autonomous Driving (Ministry of Trade, Industry and Energy); and the Agricultural Production Unmanned Automation Workforce Training and Research Support (Ministry of Agriculture, Food and Rural Affairs).
This technology is a mechanical rotary brake device and a robot arm equipped with it, featuring a locking member supported by a buffer spring on a rotation support coaxially coupled to a rotating body, where a stopper physically contacts the locking protrusion to restrain the rotation.
Existing electronic clutch brake systems have limitations in precision control due to slippage, while friction-based surface contact methods suffer from increased volume, weight, and production costs.
This technology proposes a method where a solenoid-driven stopper makes direct contact with a locking protrusion to mechanically stop rotation, while a buffer spring absorbs the impact force. This achieves reliable, slip-free braking while protecting components. It can be applied to emergency stops and posture maintenance systems for robot arms, ensuring both safety and durability in a compact, lightweight design.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of a low-cost robot system based on multi-degree-of-freedom passive gravity compensation.
This technology is a robot arm equipped with a gravity compensation device that places an elastic member-based counterbalancer on the pitch joint of a multi-degree-of-freedom robot arm, linking it with a parallel four-bar linkage structure to mechanically offset gravity torque caused by self-weight and secure the joint's range of motion.
Existing parallel four-bar linkage-based gravity compensation devices have technical limitations, such as a range of motion restricted to less than 180 degrees due to dead-point issues, and wire or belt-based systems that suffer from poor durability and reproducibility.
This technology proposes a method that utilizes a dual parallel four-bar linkage mechanism and configures a counterbalancer module—including a connecting rod, slider, guide bar, and spring—on the first and second links, respectively, to compensate for gravity torque during link rotation using the spring's restoring force. It can be applied to industrial robot arms and collaborative robots, significantly reducing actuator capacity and energy consumption while expanding the range of motion.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of next-generation manufacturing robot technology for workspace sharing and smart factory applications.
This technology is a robot-assisted bone fragment positioning system and method that synchronizes the coordinate systems between medical image-based surgical planning and the actual surgical environment through a two-stage registration process, and automatically controls bone fragment movement by setting anatomical feature points as the center point of the robotic tool.
Conventional surgical robots have faced challenges where the manual setting of anatomical feature points by surgeons is time-consuming, and registration accuracy can be compromised by the surgeon's level of expertise or environmental factors.
This technology proposes a method that calculates the displacement between the actual model in pre-operative medical images and the virtual model post-surgery, performs coordinate registration through marker-based displacement tracking of the robotic end-effector and bone fragments, and generates control signals by mapping feature points to the origin of the robotic tool. This approach reduces registration time and improves surgical accuracy. It can be utilized in orthopedic and oral and maxillofacial fracture reduction surgeries, enhancing the consistency of surgical outcomes by shortening registration time and reducing reliance on the surgeon's skill level.
This invention was developed with support from the Ministry of Health and Welfare's project for the development of clinical-centered maxillofacial surgical platforms and transparent display-based image-guided maxillofacial surgery technology.
This technology is a structural feature-based visual odometry method that estimates a camera's 6-DOF trajectory in orthogonal environments by combining line information from color images with plane information from depth images. It constructs a Manhattan frame by extracting vanishing directions from line information and surface normal vectors from plane information.
Existing image-based odometry techniques suffer from cumulative errors when estimating rotational movement, and methods relying solely on plane information often fail or produce inaccurate results in environments where planar surfaces are insufficient.
By utilizing line and plane information in a complementary manner, this technology recognizes spatial orientation and estimates rotational movement first to eliminate errors. It then employs the Levenberg-Marquardt algorithm to minimize feature point residuals based on depth availability, enabling precise 6-DOF trajectory estimation without cumulative drift. Applicable to indoor autonomous robots, AR/VR devices, and drone navigation, it provides an economical solution for achieving precise localization using only a camera, without the need for expensive additional sensors.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of an integrated multi-robot control system for complex disaster response.
This technology is a dual closed-loop brain-machine interface (BMI) system and method that decodes a user's motor intent brain signals to control external devices, while simultaneously detecting the device's operational status to provide somatosensory feedback via brain stimulation patterns back to the user.
Existing brain-machine interfaces often suffer from limited control performance due to a lack of somatosensory feedback during motor execution or the inability of simple stimulation to restore actual feedback mechanisms between brain regions.
This technology generates external device control signals based on motor intent brain signals, acquires somatosensory-evoked brain stimulation patterns corresponding to the device's operational status, and utilizes stimulation frequency and timing information to calibrate patterns in real-time, thereby improving control performance through a dual feedback loop. It can be applied to prosthetic limb control, neurorehabilitation, and the treatment of brain disorders, significantly enhancing the control accuracy and user immersion of existing BMIs by restoring sensory feedback.
This invention was developed with support from the Ministry of Science and ICT for the development of an invasive upper-limb motor control brain-machine interface integrating motor control and sensory information based on human somatosensory feedback.
This technology provides a mechanism that moves a guide bar connected to a body-worn harness up and down by changing the intersection angle of sliding-coupled first and second links, and assists walking by detecting gait intent via sensors to control the guide bar and wheels.
Wearable robots for patients with lower-limb paralysis have faced issues with instability in mechanical structures and control algorithms, leading to risks of falling during gait and potential patient injury.
This technology adopts a first/second link structure that is cross-coupled to vary in angle according to the movement of the guide bar, thereby compensating for body weight. It assists walking by controlling the vertical movement of the guide bar and wheel rotation speed based on gait intent (forward/turning) detected by sensors. Applicable to rehabilitation training, gait assistance, and medical/welfare services, it provides stable gait support for patients with lower-limb paralysis by compensating for body weight.
This technology detects the magnitude and position of an external force by arranging an optical sensing unit, composed of a flexible waveguide body and a core, in a U-shape to measure optical path deformation and optical power loss caused by external pressure.
Existing sensors for robot grippers are difficult to miniaturize due to their complex structures, involve complicated manufacturing processes, and incur high production costs, along with issues related to sensor calibration.
This technology is an optical sensor structure that features a flexible waveguide sensing unit wrapped in a U-shape around an inner layer, with light-emitting and light-receiving grooves at both ends of the sensing unit, and is covered by an outer layer and a protective plate to facilitate force transmission and sensor protection. It can be applied to robot grippers, tactile sensing, and precision measurement, enabling miniaturization and simplified manufacturing while providing precise detection of external forces.
This invention was developed with support from the Ministry of Trade, Industry and Energy for inflatable soft robotic arm technology for the care of the elderly and patients.
This technology features a magnetic field generator (actuator) mounted on the end of a robotic arm or manipulator, allowing the limited workspace for micro-robot operation to be moved and expanded throughout a 3D space.
Due to coil size limitations and power efficiency constraints in magnetic field generators, the effective operating range for controlling micro-robots is typically localized and restricted.
This technology utilizes a transport robot to physically move the magnetic field generator to target spatial coordinates, thereby significantly expanding the operating range. Applicable to logistics picking, service robotics, and manufacturing automation, it improves the adaptability and control of microstructures and micro-robots by extending the operating area without requiring high electrical power.
This invention was developed with support from the Ministry of Science, ICT and Future Planning for the development of 3D precision microstructures and cell/drug delivery-based technologies.