This technology relates to a layer jamming actuator, a drive system for wearable robots that varies stiffness through an enclosure structure capable of sliding and pivoting.
Conventional layer jamming actuator units have limitations in bending and tensile movement, making them difficult to use in various body postures.
This technology prevents interference and enables smooth operation by configuring each enclosure to slide and pivot relative to one another, making it highly effective for wearable robots that require multiple degrees of freedom.
This invention was developed with support from the Ministry of Trade, Industry and Energy’s Engineering Specialized Graduate School Support Program (Plant Engineering), the Ministry of Science and ICT’s Bionic Hand Mechanism Development project, and the Ministry of Science and ICT’s Human-Centered Soft Robotics Technology Research Center.
This technology enables an underwater robot equipped with an ultrasonic camera to generate a 3D point cloud from image data acquired while moving around an object from multiple directions. It then groups the data by movement direction and reconstructs it into a 3D polygon through 2D projection and polygon calculation.
Existing ultrasonic camera methods have limitations in reproducing seafloor objects as realistic 3D shapes because they map 3D information onto a 2D plane.
This technology proposes a method to achieve high-precision 3D modeling by grouping point clouds acquired from multiple angles, performing maximum overlapping polygon calculations, and applying post-processing noise reduction. It can be applied to seafloor exploration, shipwreck searches, and marine structure diagnostics, providing near-realistic shape information even in high-turbidity environments.
This invention was developed with the support of the Smart Underwater Tunnel System Research Center of the Ministry of Science and ICT.
This technology is a robot manipulator and control method that estimates and compensates for nonlinear friction in real-time without linearization. It utilizes only the robot's built-in motor current and encoder-based joint position data, eliminating the need for external force/torque or acceleration sensors by employing an observer equipped with a low-pass filter.
Conventional friction measurement methods often suffer from low cost-efficiency due to the requirement for expensive force/torque sensors, while observer-based methods frequently face issues with reduced estimation accuracy and limited application scope when simplifying nonlinear friction characteristics.
This technology proposes a method that mathematically estimates friction torque within the robot's dynamic equations using an observer with an integrated low-pass filter. It performs calculations while preserving nonlinearity, based on a dynamic model that includes the inertia matrix, Coriolis force, gravity vector, and gear ratio. By compensating for friction without additional sensors, it significantly improves positioning precision, making it ideal for precision assembly and force control tasks.
This invention was developed with support from the Ministry of Science, ICT and Future Planning for human-product haptic simulation technology.
This technology is a differential gear-based variable stiffness robot joint system that uses two independent drive motor inputs to selectively perform joint rotation and stiffness adjustment based on the combination of the motors' rotational directions.
Conventional variable stiffness joints suffer from low drive efficiency and design redundancies, as one motor is dedicated solely to joint actuation while the other is dedicated solely to stiffness control.
This technology proposes a method where a first rotation module converts the motors' same-direction rotational force into joint rotation, while a second rotation module converts opposite-direction rotational force into linear motion to adjust the preload of an elastic member, thereby varying stiffness. Applicable to collaborative and rehabilitation robots, it maximizes both hardware efficiency and output by utilizing both motors.
This technology is a maintenance robot system featuring a modular climbing mechanism that connects the robot's main body to a climbing mobility module via a universal connector, allowing the mobility module to be swapped according to the work environment.
Conventional technology relies on climbing mechanisms fixed to the complex exterior structures of high-rise buildings, leading to cost inefficiencies as it requires developing separate robots or maintaining a large fleet of robots tailored to specific building characteristics.
This technology utilizes a detachable universal connector between the main body and the climbing module, enabling the use of various interchangeable mobility modules such as legged, wheeled, or tracked types, with an auxiliary control unit that automatically recognizes the swapped module. Applicable to exterior cleaning, painting, and facility inspection, it eliminates the need to develop new robots for each building, significantly reducing implementation costs.
This technology provides a connection structure that allows for the detachable coupling of various tools to a general-purpose unmanned aerial vehicle (UAV), creating a multi-rotor UAV system where multiple drones are integrated and controlled to perform specific mechanical tasks.
Previously, there were inefficiencies in having to manufacture dedicated drones for each type of tool, as well as complexities in the control algorithms and system design required for each robot to perform high-difficulty tasks.
This technology introduces a standardized detachable connection and identification structure between the tool and the drone, and proposes a method for controlling multiple UAVs based on an integrated task process received from a control unit. This ensures versatility, allowing a single drone platform to perform a wide range of mechanical tasks. It can be utilized for facility maintenance, construction work, and disaster prevention, significantly increasing the economic efficiency of drone operations by enabling various missions to be performed simply by swapping tools.
This invention was developed with support from the Ministry of Education, Science and Technology’s Convergence Knowledge-Based Creative Mechanical and Aerospace Talent Training Program and the research project on mechanical manipulation control techniques for quadrotor robots.
This technology is a collaborative control and obstacle avoidance method that uses non-holonomic passive decomposition to independently control the formation maintenance of mobile manipulators, object transport, and obstacle avoidance tasks within separated vector spaces.
When multiple mobile manipulators collaborate, tasks such as maintaining manipulator formation, moving objects, and avoiding obstacles often interfere with one another, making precise control difficult. Furthermore, single-path control methods struggle to efficiently handle both obstacle avoidance and task execution simultaneously.
This technology proposes a method that decomposes the state of mobile manipulators into four independent vector spaces: formation changes, object position changes, platform translation and rotation, and movement interference factors, calculating control inputs for each independently. When obstacles are encountered, the system utilizes redundant degrees of freedom to adjust internal configurations and employs potential functions for avoidance, allowing for safe collaboration while maintaining the intended path. Applicable to multi-robot logistics, collaborative transport of large objects, and factory automation, this approach maximizes control efficiency for collaborative robots by achieving task execution and obstacle avoidance simultaneously.
This invention was developed with support from the Ministry of Science, ICT and Future Planning’s research on real-time control and haptic rendering for haptic interaction between multiple remote users, and the Ministry of Education, Science and Technology’s program for fostering creative mechanical and aerospace talent based on convergence knowledge.
This technology is an operating system and method for mechanical structures that controls the thrust and moment of a multirotor by estimating the real-time velocity of a robotic arm's end-effector, inputting it into a directional filter to dynamically model the movement direction and mechanical constraints of unknown structures like drawers, and optimizing ideal force settings and end-effector trajectories.
When aerial manipulators operate constrained mechanical structures such as drawers or doors, effective interaction and precise force control have been difficult due to a lack of prior information regarding the structure's movement direction, mass, damping, and other dynamic characteristics.
This technology proposes a method that detects structural movement using an end-effector velocity estimator, estimates the constrained movement direction through a directional filter, and calculates the appropriate force required for structural movement via an ideal force setting unit. This allows for the control of the multirotor's position and orientation to interact harmoniously with mechanical structures. It can be utilized for facility inspections, opening doors in disaster zones, and remote operations, significantly enhancing the operational autonomy of aerial robots by enabling interaction without prior information about the target structure.
This invention was developed with support from the Convergence Knowledge-Based Creative Mechanical and Aerospace Engineering Program of the Ministry of Education, Science and Technology.
This technology is a mechanical exoskeleton system that assists a user's upper limb strength using elastic members and a clutch mechanism without an external energy source. A rotational elastic unit connected to a sliding hole releases stored elastic force during the movement of the rotational part, while a gear- and protrusion-based clutch part selectively allows or restricts movement in specific directions during bidirectional rotation to control the assistive force.
Conventional upper limb exoskeleton robots necessarily include electric actuators, which result in heavy device weight, high costs, and technical limitations in efficient operation due to constraints on energy source (battery) life and usage.
This technology consists of a body part, a rotational part, and a connecting part (including a rotational elastic unit) to assist muscle strength solely through elastic force without an energy source. The clutch part includes first and second clutch units, protrusions, and protrusion elastic members; it controls the rotational direction by changing the engagement state of the gears via switch operation, thereby performing assistive movements based on the load of an object. It can be applied to industrial muscle assistance, rehabilitation, and logistics, reducing weight, cost, and operational constraints by eliminating the need for batteries.
This technology provides an exoskeleton structure that combines rotary pushers with sliding links and multiple wire tension mechanisms to achieve independent flexion/extension and abduction/adduction for each finger joint (MCP, PIP, DIP, CM, IP).
Conventional exoskeleton robots are limited to simple grasping motions due to restricted degrees of freedom and struggle with independent joint control, making it difficult to implement complex and precise hand movements.
This technology utilizes a rotary pusher motor to position a cam-shaped rotary pusher that applies pressure to the proximal phalanx attachment, while independently driving wires for each finger segment to enable flexion, extension, abduction, and adduction for every joint. Applicable to hand rehabilitation, wearable robotics, and physical therapy, it enhances rehabilitation efficacy by enabling precise hand movements through independent joint control.
This technology is a fiber-based actuator mechanism that physically assists with joint flexion and extension. It features heat-shrinkable/expandable polymer fiber warps integrated into a body worn on the upper or lower limb joints, which are individually controlled via heating wires.
Conventional metal exoskeleton structures are heavy and complex, which reduces user comfort, requires significant space for fitting, and restricts natural movement.
This technology integrates heat-shrinkable and expandable polymer fibers (homochiral/heterochiral warps) into a body to form a fiber-based muscular strength assist unit. Based on data from electromyography (EMG) sensors, it selectively controls the contraction and expansion of inner and outer warps according to the direction of joint flexion to actively assist movement. It can be applied to rehabilitation training, gait assistance, and medical/welfare services, enhancing ease of movement and improving the fit for joint support.
This invention was developed with support from the Ministry of Science, ICT and Future Planning for the development of renewable energy and intelligent robot convergence technology.
This technology features a structural combination of a cuff that accommodates the user's arm for upper limb rehabilitation and a multi-joint robot module that controls it. It physically guides wrist rotation through an arc-shaped guide rail and sliding bracket within the cuff. Based on the movement of the handle and sensor data from within the cuff, the motion controller calculates and regulates the robot's 6-degree-of-freedom assistive force.
Conventional technologies are limited to specific tasks such as assisting with meals and fail to account for individual physical characteristics. Furthermore, they lack the ability to detect independent wrist rotation along the longitudinal axis of the arm or provide force assistance, resulting in lower precision for rehabilitation training.
This technology incorporates a handle and motion sensor to detect wrist rotation, along with a sliding mechanism using an arc-shaped guide rail and rollers within the cuff. The motion controller identifies the user's intent to guide 6-degree-of-freedom movement via the multi-joint robot module and provides assistive force for wrist rotation through an electric motor. Applicable to rehabilitation training, gait assistance, and medical/welfare services, it improves the user's upper limb exercise experience by accounting for physical characteristics and arm positioning while providing comfortable force assistance.
This invention was developed with support from the Ministry of Science, ICT and Future Planning for research on physical/cognitive interaction-based neuro-robot technology.
This technology relates to a gravity compensation device for rotary and linear joints, utilizing a cam and a torsion spring to counteract the gravitational torque acting on the joints.
Existing gravity compensation structures often cause unnecessary displacement and torque during linear motion, which increases energy consumption and reduces the efficiency of manipulator robots.
By combining a cam follower, a torsion spring, and a belt-pulley transmission element, this technology compensates for gravity in both rotary and linear joints, thereby improving energy efficiency. It is applicable to rehabilitation devices, flight simulation equipment, and more.
This invention was developed with support from the Ministry of Science and ICT for the development of an integrated gravity compensator for the miniaturization of wearable robots.
This technology relates to a unidirectional creep compensator and a twisted string actuator equipped with the same, designed to mechanically compensate for creep occurring in flexible material reduction elements.
Actuators using fiber materials, such as twisted string actuators, have historically suffered from performance degradation and reduced repeatability due to the accumulation of creep during prolonged use.
By applying continuous contractile force to the drive line using only an elastic structure and a one-way bearing, this technology compensates for creep, maintaining control performance and repeatability without the need for additional sensors or complex control systems.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of a compact, lightweight, high-performance, and highly durable safe drive module based on string twisting, utilizing string surface reinforcement, variable radius pulleys, and hybrid drive control, as well as support from the Ministry of Science and ICT for the second phase (third stage) of bionic wrist design technology development.
This technology estimates the position of a mobile object by receiving scan data at intervals shorter than the time required for a single LiDAR rotation, synthesizing it with previous scan data to acquire a point cloud, and then identifying the closest point cloud within a point map.
Conventional LiDAR-based localization requires a full sensor rotation to process data, resulting in long position update intervals and often necessitating additional sensors to improve precision.
This technology proposes a pipeline-based approach that synthesizes and matches scan data received at short intervals, shortening the localization cycle without the need for extra sensors. It can be applied to autonomous vehicles and indoor logistics robots, providing an economical solution that enhances both position update speed and precision using only existing sensors.
This invention was developed with the support of the Ministry of Science and ICT's research on fault-tolerant real-time virtualization technology for high-reliability autonomous driving systems.