This technology calculates the distance between a mobile robot and a smartphone by measuring the RSSI (Received Signal Strength Indicator)-based path loss between Wi-Fi transmitters attached to three or more robot arms and a smartphone receiver, and estimates the robot's self-position through triangulation and geometric calculations.
Existing indoor positioning technologies are inefficient in terms of resources and time, as they require the construction of expensive, dedicated embedded platforms and prior knowledge of node locations.
This technology rotates the mobile robot to align the relative angles between the robot arms and the smartphone, then applies the Wi-Fi RSSI-based Friis transmission equation and triangulation to calculate the position in real-time on the smartphone platform. It can be applied to logistics transport, service robots, and autonomous driving platforms, thereby improving the efficiency of robot localization without additional infrastructure and reducing resource waste by utilizing the smartphone platform.
This invention was developed with support from the Ministry of Education, Science and Technology for the development of convergence technology for new and renewable energy intelligent robots.
This technology is a proximity control mechanism that determines driving direction and guides docking positions by detecting the RGB-LED brightness of a target robot to ensure precise coupling between modular robots. By arranging three-color RGB-LEDs and sensors radially, it provides location information and guides the docking range of the target robot.
Conventional ultrasonic sensors are limited to obstacle avoidance and lack the precision required for accurate positioning, while RF signal strength (RSSI) methods suffer from low recognition accuracy and errors when docking moving objects.
This technology features a sensor module (comprising three RGB-LEDs and one detection sensor) arranged radially around the robot's body. It converts the RGB-LED brightness values of the target robot into frequencies, generates a driving path toward the direction of maximum frequency intensity, and implements a control algorithm to stop at the target docking point. Applicable to logistics, service robots, and autonomous platforms, it enhances the accuracy and efficiency of modular robot bonding across various applications.
This invention was developed with support from the Ministry of Education, Science and Technology's New and Renewable Energy Intelligent Robot Convergence Technology Development program.
This technology consists of a wall-climbing work robot and a mother robot that houses it. It improves work precision by using a plurality of cylinders positioned between the first and second support rings inside the work robot to precisely adjust the position of the work unit.
Conventional aerial work lifts pose high safety risks and suffer from low productivity, while existing wall-climbing robots struggle to ensure work quality due to the difficulty of achieving precise position correction within the work area.
This technology creates an open space in the work body and uses a control unit to drive variable-length cylinders based on camera imagery, aligning the work unit with the target area. It can be applied to ship painting, large-scale structural welding, and exterior wall repairs, eliminating the risks of working at heights while maintaining consistent work quality.
This technology features driving modules on both sides of the robot body, each equipped with first and second driving units of different lengths that rotate around an inclined axis. This allows the robot to adjust its driving height by switching and rotating the driving units, maintaining its center of gravity while navigating obstacles.
Conventional wheeled robots faced structural limitations where increasing wheel radius to overcome obstacles raised the center of gravity, thereby reducing driving stability.
This technology overcomes obstacles without raising the center of gravity by tilting the rotation axis downward and using a drive motor to rotate driving units of varying lengths, effectively changing the ground contact position. Applicable to exterior wall cleaning robots and outdoor patrol robots, it provides high-performance obstacle traversal while maintaining stability.
This invention was developed with support from the Ministry of Science and ICT for the development of AI-based adaptive control algorithms for various types of exterior wall cleaning robots.
This technology is a system that maximizes the power generation efficiency of solar cells mounted on the top of a flying robot. It adjusts the flight attitude in real-time to remain perpendicular to sunlight by controlling the rotor drive angle and wing angle based on data from solar incidence sensors and wind direction/speed sensors.
The limited capacity of batteries built into flying robots makes long-term missions difficult. Even when solar charging is adopted, the power generation efficiency of the solar cells decreases depending on the flight attitude, and the flight path can become unstable.
This technology utilizes independent vertical swing control of the left and right wings and rotors that can rotate independently of the wings. It features a flight angle control algorithm and structure that maintains the flight path using wind direction and speed data while adjusting the flight attitude to keep the solar incidence angle perpendicular to the solar cell surface. Applicable to unmanned exploration, surveillance, and environmental monitoring, it improves service time and energy security, maximizes generation efficiency, and optimizes solar energy efficiency and propulsion routes for autonomous flight control.
This invention was developed with support from the Ministry of Education, Science and Technology for the development of renewable energy intelligent robot convergence technology.
This technology is an automated system that recognizes vehicle information and remaining battery levels when an electric vehicle enters the station. If the battery level is below a set threshold, a robot removes the existing battery and replaces it with a fully charged battery of the appropriate specification.
This solution addresses the long charging times for electric vehicles, the degradation of battery life caused by rapid charging, and the issues of high cost and weight compared to hybrid engines.
The system includes a vehicle recognition device and a battery swapping robot. It identifies the battery's location, status, and capacity based on vehicle information, and the robot automatically performs the replacement process while verifying the vehicle's identity via an internal recognition module. Applicable to industrial robots and automation systems, it enhances the efficiency of battery swapping and charging for electric vehicles.
This invention was developed with support from the Ministry of Education, Science and Technology for the development of intelligent robot convergence technology for new and renewable energy.
This technology features an IoT-based unmanned robotic fish farm built on a floating structure that controls buoyancy by regulating seawater intake and discharge. It utilizes a mobile rail system that allows a robot to manage the farm from above, performing depth adjustments and automated operations based on environmental monitoring and sensor data.
Conventional fixed offshore fish farms are vulnerable to physical damage from extreme sea conditions such as red tides, typhoons, and tsunamis, and their inability to adjust depth makes them susceptible to external environmental changes.
This technology enables the fish farm to be raised or lowered by controlling seawater intake and discharge within the floating structure, automatically measures the ecological environment using IoT sensors, and manages operations via a rail-based mobile robot. Applicable to both offshore aquaculture and marine tourism complexes, it helps avoid damage from extreme weather while reducing labor costs through unmanned operation.
This technology is an automated specimen collection method, robot, and system that detects contact with the oropharynx and nasopharynx using a pressure sensor installed on the swab gripper of a multi-jointed robotic arm, collects specimens by rotating the swab with an actuator, and cuts the swab stick using a separate cutter mechanism.
During manual specimen collection, medical staff face a risk of secondary infection due to close proximity to the patient. Furthermore, manual collection often leads to positioning errors, specimen contamination, and significant downtime for equipment sterilization.
This technology automates specimen collection through pressure sensor-based contact detection and actuator control, while ensuring thorough sterilization using a combined heat and UV system with a rotating mechanism. It can be applied to infectious disease screening and unmanned testing centers, eliminating infection risks for medical staff while ensuring consistent specimen quality.
This invention was developed with support from the Ministry of Science and ICT for the development and application of IoT and AI-based automated shock treatment devices.
This technology is a gripper mechanism that detects mechanical deformation of a sensor frame during object gripping using strain gauges to measure vertical reaction and sliding forces, thereby calculating the friction coefficient in real-time to control optimal gripping force.
Conventional offline testing methods fail to account for friction coefficient fluctuations caused by humidity or environmental changes, posing a risk of slippage when handling high-value items. Additionally, integrated sensor and data acquisition board designs often lead to overly complex device structures.
This technology enhances signal processing efficiency by integrating a DAQ board independent of the sensor frame within the gripper unit. It measures 3-axis forces via strain gauges in the sensor frame's sensing unit to calculate the friction coefficient and automatically adjust gripping force accordingly. Applicable to logistics picking, service robots, and manufacturing automation, it improves the accuracy and stability of handling processes by measuring sliding forces and generating friction coefficients.
This invention was developed with support from the Ministry of Knowledge Economy for the development of safety modules with a maximum output range of 150Nm and force-torque/joint sensor technology for dual-arm working robots.
This technology is a manipulator work tool mechanism that adjusts the spacing between a pair of grippers via a rack-and-pinion drive and incorporates suction cups at the base of the grippers to perform both gripping and suction tasks simultaneously.
Conventional technologies faced inefficiencies due to the need for tool changes when performing only gripping or suction, as well as backlash issues caused by reaction forces between the grippers and rack gears during gripping.
This technology inserts ring-shaped cushioning members between the grippers and the rack gear mounting bolts to absorb physical reaction forces. By applying a rack-and-pinion drive system, it allows for suction cup spacing adjustments based on part size and enables combined gripping and suction operations. Applicable to logistics picking, service robots, and manufacturing automation, it enables the handling of objects with irregular shapes and reduces the need for tool changes, thereby improving the efficiency and stability of pick-and-place operations.
This invention was developed with support from the Ministry of Knowledge Economy for the development of safety modules with a maximum output range of 150Nm and force-torque/joint sensor technology for dual-arm working robots.
This technology is a manufacturing method for micro-drills, and the resulting micro-drill, which uses a 3D-printed layered mold to form the drill's shape and surface pattern, with an embedded magnet that allows it to be driven by an external magnetic field.
Existing MEMS processes involve high manufacturing costs, complex processing times, and difficulty in modifying designs, while also facing technical limitations in implementing sharp blades on the micro-drill surface.
This technology proposes a simple process that transfers the layered patterns of 3D printing to the inside of the mold to form micro-patterns on the drill surface, followed by dissolving or softening the mold for removal. It can be applied to the production of micro-robots for thrombus removal and medical instruments for internal procedures, significantly reducing manufacturing costs and time while ensuring design flexibility.
This invention was developed with support from the Ministry of Science and ICT for the development of 3D printing-based, biosignal-responsive, customized implant devices for smooth urination in patients with lower urinary tract symptoms.
This technology features an exoskeleton robot that detects gait intention by placing pads on the front and back of the wearer's thighs, linked together to pivot around a central point. The displacement of the pads during leg movement triggers contact and pressure changes in the sensors, allowing the system to interpret the user's intent.
Conventional methods, such as electromyography (EMG) sensors, require attachment to deep muscle tissue, leading to complex structures and high costs. Furthermore, sensors attached to flexible straps often shift during movement, resulting in poor accuracy for gait intention detection.
This technology uses a mechanical approach to detect gait intention by securing a connecting link to the thigh support and designing the protrusions on the front and rear push pads to selectively press against pressure sensors. Applicable to gait rehabilitation and industrial strength assistance, it provides a low-cost, reliable solution for intention recognition without the need for biosignal sensors.
This technology provides upper limb exercise by receiving user input for upper limb movement, driving vertical and horizontal motion units, and providing haptic feedback through monitor integration.
Existing upper limb rehabilitation devices have faced issues such as lack of mobility due to fixed structures, absence of haptic feedback, and limited range of motion.
This technology combines a multi-directional horizontal movement unit using swivel wheels with a vertical movement unit, and implements haptic functions that stimulate the user's proprioception and sense of touch through a monitor-linked feedback system. Applicable to industrial robots and automation systems, it overcomes the limitations of conventional upper limb devices by providing enhanced haptic feedback and a wider range of motion for the user.
This technology is a gripper device mounted on the end of a robot arm, capable of selectively performing gripping tasks and switch-pressing operations. It features a rotatable pressing bar inside the gripper jaw and utilizes surface contact between a polygonal end and an elastic member (leaf spring) to stably lock the rotation position or switch the rotation state semi-automatically.
In remote working environments, the need to repeatedly swap robot grippers to perform different tasks—such as operating instrument panel switches, controlling valves, or grasping objects—has historically led to reduced operational efficiency and increased costs.
This technology incorporates a gripper button unit (pressing bar) rotatably mounted on the gripper jaw, designed to rotate and lock in 90-degree increments using a polygonal chamfered section at one end of the bar and an elastic member. By limiting the rotation angle via a stopper and a rotation-blocking unit, the structure allows the pressing bar to be retracted during gripping and extended for switch operation. Applicable to logistics picking, service robots, and manufacturing automation, this robot gripper enables the performance of diverse tasks without tool changes, thereby improving the efficiency of remote maintenance operations and ultimately increasing human resource efficiency.
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 features a facade cleaning robot that controls its center of gravity by shifting the point of application of rope tension. It utilizes an LM guide installed on the upper part of the robot body, along which a moving unit travels, allowing the robot to selectively lift specific wheels away from the wall surface when navigating obstacles.
Existing wheel-based robots require wheels larger than the obstacles themselves, propeller-based models suffer from complex control and low energy efficiency, and legged robots are hindered by slow speeds and poor efficiency.
This technology uses a moving unit equipped with an LM guide and ball screw to physically shift the tension application point, while obstacle detection sensors and a control unit adjust the relative position to lift specific wheels. Applicable to high-rise building facade cleaning and painting, it ensures operational continuity by easily clearing protruding obstacles like window frames.
This invention was developed with support from the Ministry of Science and ICT for the development of AI-based adaptive control algorithms for various types of facade cleaning robots.
