This technology involves bonding conductive particles to the surface of an actuator body—made by twisting non-conductive polymer fibers into a coil structure—using a chemical reduction technique. This enables electrothermal actuation via applied electricity and self-sensing of resistance changes based on length variations.
Existing polymer-based actuators suffer from reduced safety due to high operating temperatures (over 200°C), as well as increased weight, bulk, and compromised flexibility in wearable devices caused by the need for separate feedback sensors and mounting components.
This technology imparts conductivity to a body formed by twisting spandex and polyethylene fibers by chemically reducing silver precursors on its surface. It is designed for low-temperature operation (below 80°C) and monitors contraction deformation in real-time by measuring the actuator's own resistance changes, eliminating the need for external sensors. Applicable to robotic gripping, precision measurement, and automated equipment, it improves operating temperature ranges, reduces the need for additional sensors and components, and enhances the monitoring capabilities of fiber-type actuators.
This invention was developed with support from the Ministry of Science and ICT for the development of an in-vivo closed-loop system using electronic sutures for the treatment of inflammatory bowel disease.
This technology is a capsule structure designed for multi-site biological material sampling. It induces active sample adsorption at target locations by sequentially dissolving a pH-responsive outer protective layer and a temperature-controlled inner protective layer (via a heating layer) to expose a polymer layer. It includes a position and orientation control mechanism based on an external magnetic field using a magnetic body housed within the main unit.
Conventional sampling devices rely solely on passive movement via intestinal peristalsis, and their sampling methods depend exclusively on specific pH environments, making precise selective sampling or multi-site discrete sampling impossible.
This technology implements a structure that allows users to sequentially activate specific sampling modules at desired times and locations by applying inner protective layers with different melting points to each module and independently controlling the heating layer of each module through external signal application. Applicable to surgical robots, interventional systems, and medical automation, it provides a non-invasive method, reduces costs, and improves the ability to collect biological materials from within the digestive tract by enabling access to multiple locations within the gastrointestinal tract.
This invention was developed through support for the development of a micro-carrier-based active precision delivery medical device for multi-departmental knee cartilage regeneration.
This technology features a robot device comprising first and second arm units positioned on an arm base and a connecting unit that links them. Each arm unit performs multi-jointed movements through yaw and pitch drive units and a power transmission unit that connects them.
In conventional SCARA robots, multiple independently driven arms are not interconnected, meaning each arm must grasp objects individually, which limits the weight of the objects that can be handled.
This technology secures structural rigidity by coupling the first and second arm units via a connecting unit. By combining and applying the yaw and pitch driving forces of each arm, it improves the ability to grasp heavy objects and enhances locking force. Applicable to industrial robots and automation systems, it increases clamping and locking power while enabling the handling of significantly heavier loads during yaw and pitch movements.
This invention was developed with support for AI-based diagnostic technology and the development of minimally invasive surgical robots for the precision treatment of multi-site vascular bone diseases.
This technology describes an unpowered gait assistance mechanism that utilizes an elastic body to convert changes in distance between the device and the user, occurring during the user's gait, into a compensatory force.
Existing robotic gait assist devices that use external power sources had problems with temporal and spatial constraints, as well as reduced rehabilitation training effectiveness due to passive joint movements.
This technology, therefore, proposes a method that utilizes an elastic body, a link unit, and an action point conversion unit, all integrated into the weight support section, to convert the user's trunk movement force into gait assistance force and deliver it to the lower limbs in sync with the gait cycle.
This technology was developed through the support of the Pan-Government Medical Device R&D Project Group's research project on the development and usability evaluation of an indoor mobile gait rehabilitation device capable of weight support and lower limb muscle assistance.
This technology describes a mechanism for generating an AI model that leverages Visual Grounding technology to extract object category, position, and attribute information from images. This information is then converted into natural language instructions to plan and control a robot's manipulation trajectory.
Existing robot control methods required operators to manually input object coordinates and task details. This resulted in limitations such as the need for fixed object positions and low operational efficiency when generating commands for multiple objects.
This technology proposes a method for generating a training dataset and subsequently training an AI model. This is achieved using a first framework (GVCCI) which comprises: a visual feature extraction module that recognizes objects and extracts features from images; a module that generates context-appropriate natural language instructions; a model that infers targets and positions via a visual grounding model; and a manipulation module that plans the trajectory of a robot arm.
This technology was developed with support from the Institute of Information & Communications Technology Planning & Evaluation (IITP) through a self-directed AI research project focused on solving novel problems.
This technology extracts individual components of robots and obstacles, then predicts collision distances in parallel through pairwise batch operations. It trains a collision distance prediction model based on geometric feature vectors and relative transformation matrices. The minimum value among the predicted pairwise distances is calculated as the global collision distance, which can then be utilized for real-time motion planning.
Previously, high computational complexity led to performance degradation when calculating minimum distances, a crucial step for conventional motion planning algorithms in high-degree-of-freedom robot systems. Furthermore, data-driven learning methods suffered from low flexibility to environmental changes and frequent retraining requirements, limiting their versatility.
This technology proposes a model that learns by extracting relative transformation values and point cloud-based shape feature vectors between robot components and obstacles. By processing these inputs in batches and performing parallel computations, it enhances operational efficiency and provides flexibility to adapt to environmental changes without needing to retrain for specific shape elements.
This technology was developed with support from the Institute of Information & Communications Technology Planning & Evaluation (IITP) through its goal-oriented AI generation and inference research project.
This technology converts RGB and depth information from images captured by a mobile robot into embedding data via an encoder module. This data is then mapped with the robot's position information to construct grid-based spatial map data. Subsequently, a decoder module generates rendered images from this map, and by learning the differences from the original captured images through a loss function, optimizes the neural network-based map generation model.
Existing grid-based map generation methods suffer from decreased map accuracy due to the accumulation of robot localization errors. They also require significant memory for storing visual information and have slow data processing speeds, making them difficult to apply in real-world robot operating environments.
This technology introduces a deep neural network encoder-decoder architecture to embed features of captured images into a grid. Through efficient position-information-based data recording and rendering processes, it is an excellent technology that can improve real-time environmental perception and localization accuracy.
This technology was developed with support from the Institute of Information & Communications Technology Planning & Evaluation (IITP) (SW Star Lab) research project 'Robot Learning: Efficient, Safe, and Socially Friendly Machine Learning'.
This technology pertains to an identity sharing system, specifically a distributed ledger technology-based user identity sharing system for virtual asset services. It enables the reception of counterparty identity information when virtual assets are sent and received using distributed ledger technology.
This user identity sharing system, which leverages a distributed ledger technology security platform for virtual asset services, prevents the forgery and alteration of user identity information. It also facilitates the sharing of user identity information among virtual asset service providers, other blockchain and distributed ledger technology platforms, and existing IT systems.
Furthermore, this technology enables compliance with anti-money laundering obligations related to virtual assets through the identity verification and storage of virtual asset senders and recipients. It also ensures adherence to the Financial Action Task Force (FATF) guidelines (Guidance for a Risk-Based Approach to Virtual Assets and Virtual Asset Service Providers) and personal information protection laws and regulations in each country.
[Standard Patent Details]
Domestic and international standards related to patent technology: TTA Telecommunications Technology Association Standard TTAK.KO-12.0374
This technology relates to an identity verification system, specifically a peer-to-peer, non-face-to-face system utilizing wireless communication. It operates by registering only the information necessary for verification on an on/off-chain—without storing personal data—and then verifying certificates using individual public keys on personal devices to generate integrated certificates.
The advantage of this technology is that the peer-to-peer, non-face-to-face identity verification system, which uses wireless communication, allows for the exchange of electronically signed confirmations. These can be verified against public keys registered on the on/off-chain, enabling the secure, non-face-to-face exchange of verified certificates.
Furthermore, because it can generate certificates that confirm event participation, organizers of workshops, conferences, exhibitions, or meetings can quickly and accurately verify the attendance of numerous participants at the venue simultaneously.
[Standard Patent Details]
Domestic and international standards related to the patented technology: International Standard ITU-T X.2310 (03/2026), TTA Information and Communication Association Standard TTAK.KO-12.0397
This technology relates to a double-layer hybrid solid electrolyte, a method for manufacturing the same, and an all-solid state battery including the same. In particular, it is a technology designed to enhance the performance, structural stability, and application efficiency of battery materials and electrode designs based on the use of oxide (LTPO) and lithium aluminum-lanthanum-zirconium oxide (LALZO) charged particles within a PVDF-HFP polymer.
Conventionally, in full-height batteries, the risk associated with organic liquid electrolytes could lead to performance degradation, process complexity, lack of stability, or limitations on the scope of application. Accordingly, this technology proposes a technical concept for implementing lithium-tantalum-phosphorus oxide (LTP) within poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) polymers by applying whole-height somatic embryos of the first high-grade variety as a core component.
As a result, mechanical strength and electrochemical stability effects regarding the aforementioned lithium metal can be expected. Furthermore, stability, reproducibility, and scalability in real-world application environments can be enhanced through the use of oxide (LTPO) and lithium aluminum-lanthanum-zirconium oxide (LALZO) filled particles within the PVDF-HFP polymer. Additionally, this technology offers the potential to be utilized as a high-performance material, device, apparatus, or process technology in related industries. It is advantageous for subsequent commercialization and process expansion, and is suitable for demonstration deployment.
This technology relates to cathode, manufacturing method and lithium secondary battery comprising the same for yumug hwalseong composite lithium secondary battery. In particular, it concerns a materials, component, cell, or process technology designed to improve electrochemical performance, structural stability, and practical applicability in the relevant field.
Conventional approaches may suffer from performance limitations, side reactions, process complexity, durability issues, or restricted operating stability. To address this, this technology applies rityum ica jeonjiyong cathode current collector, dojeonja applies th proposed configuration as a core means and proposes a technical concept.
Accordingly, this technology can improve performance, stability, reproducibility, and scalability, while also supporting practical deployment and process expansion. It may be utilized as a high-performance material, electrode, electrolyte, device, or manufacturing technology in related industries, and it is also favorable for follow-on commercialization and pilot validation.
Key Features:
This technology relates to anode and aqueous zinc battery comprising the same coated with mof(metal-organic framework)-801 for aqueous zinc battery. In particular, it concerns a materials, component, cell, or process technology designed to improve electrochemical performance, structural stability, and practical applicability in the relevant field.
Conventional approaches may suffer from performance limitations, side reactions, process complexity, durability issues, or restricted operating stability. To address this, this technology applies ion seontaegjeogeu susonghag wiha jeeodoen gigong keuggajneun dagongseong kotingceung including guseong applies th proposed configuration as a core means and proposes a technical concept.
Accordingly, this technology can improve performance, stability, reproducibility, and scalability, while also supporting practical deployment and process expansion. It may be utilized as a high-performance material, electrode, electrolyte, device, or manufacturing technology in related industries, and it is also favorable for follow-on commercialization and pilot validation.
Key Features:
This technology relates to electrolyte and lithium-sulfur battery comprising the same comprising etereugye yongmae for lithium-sulfur battery. In particular, it concerns a materials, component, cell, or process technology designed to improve electrochemical performance, structural stability, and practical applicability in the relevant field.
Conventional approaches may suffer from performance limitations, side reactions, process complexity, durability issues, or restricted operating stability. To address this, this technology applies rityumhwang jeonjiyong etereugy yongma applies th proposed configuration as a core means and proposes a technical concept.
Accordingly, this technology can improve performance, stability, reproducibility, and scalability, while also supporting practical deployment and process expansion. It may be utilized as a high-performance material, electrode, electrolyte, device, or manufacturing technology in related industries, and it is also favorable for follow-on commercialization and pilot validation.
Key Features:
This technology relates to a method for manufacturing high-coupling carbon nanotube current collectors derived from waste polymers for aluminum secondary battery anodes. In particular, it is a technology designed to enhance the performance, structural stability, and application efficiency of battery materials and electrode designs based on the carbon source of the carbon nanotube current collector.
In the case of secondary batteries using conventional carbonate/organic electrolytes, problems with significantly blocked ion transport during the formation of an aluminum oxide layer on the aluminum metal surface could lead to performance degradation, process complexity, lack of stability, or limitations on the scope of application. Accordingly, this technology proposes a technical concept for a method of manufacturing a carbon nanotube current collector for an aluminum secondary battery negative electrode based on waste-poly MR, by applying a configuration including a method of manufacturing a carbon nanotube current collector for an aluminum secondary battery negative electrode as a core means,wherein a waste polypropylene mask is washed with acetone and ethanol, and 5℃/min- is implemented.
Accordingly, performance effects of battery adsorption can be expected, and stability, reproducibility,and scalability in actual usage environments can be improved through the carbon source of the carbon nanotube current collector. In addition, it has the effect of being utilized as a high-performance material, device, apparatus, or process technology in related industries, and is advantageous in terms of subsequent commercialization and process expansion, and is also suitable for demonstration deployment.
Key Features:
This technology relates to a lithium metal electrode technology that suppresses dendrite formation by using a metal-organic framework and lithium-philic metal ions.
Conventional lithium metal electrodes have continuously suffered from dendritic growth and low interfacial stability, causing lifespan reduction and safety issues. This technology coats a current collector with a metal-organic framework and organic linkers to provide lithium-ion guiding pathways and a uniform nucleation environment.
As a result, it can reduce dendrites and improve lithium-ion conductivity, thereby enhancing the safety, power density, and cycle life of high-capacity secondary batteries.
Key Features:
