• Title/Summary/Keyword: Small robot

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Design for Stand of 'H' company in Motor Show (해외 자동차 H사를 위한 모터쇼 전시부스 디자인)

  • Suh, June-Ho
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2007.11a
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    • pp.193-194
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    • 2007
  • The Japanese 'H' motor company is the one of a few engine makers for F1 racing machine in the world. And it has a tradition and ability to make a humanoid walking robot 'Asimo'. But 'H' motor company is known as a motorcycle maker not a car in Korea. It wanted to reinforce the brand image and identity to Korean consumer. And it needed a powerful marketing tool for the brand image distinguished from other global motor companies. It demanded a stand design to show their powerful and unique identity for surpass other rivals in 2007 Seoul Motor Show. This stand for 'H' motor company in 2007 SMS has an area of 1,250m2 and located between huge domestic motor companies, K and SR. The design was planed to show its unique identity and image, overcoming its relatively small size. I designed a round-shape ceiling structures covered whole booth space for enclosure and vortical space sense. That made a strong brand image by light and sharp structures completely distinguished from other stands. And it has a main logo sign for recognizing the stand from a distance.

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A Study on the Prediction of Pressure Drop for Ship Strainer (선박용 스트레이너의 압력강하 예측에 관한 연구)

  • Son, In-Soo
    • Journal of the Korean Society of Industry Convergence
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    • v.24 no.5
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    • pp.573-579
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    • 2021
  • In this study, flow analysis was performed on three types of strainers for ships with different flow rates to predict the pressure drop of the strainer due to the filter of strainer. In the case of flow analysis, the flow analysis was performed by applying the porous media method by applying the resistance value derived by Ergun's equation to the filter position. As a result of the analysis, it was found that when the dimensions of the strainer body were small, the influence of the flow rate on the pressure drop was large. In addition, the amount of pressure drop and the flow rate are almost linearly proportional, and an analysis formula that can predict the amount of pressure drop was derived. In order to predict the amount of pressure drop of the strainer when blockage exist in the strainer filter, the analysis was performed by introducing the resistance ratio to derive the prediction equation. Using this equation, it is thought that it will be possible to predict the performance of the strainer due to blockage in the future strainer design and field application.

A Review: All Solid-state Electroactive Polymer-based Tunable Lens (고체 전기활성 고분자 기반 가변 렌즈의 연구동향)

  • Shin, Eun-Jae;Ko, Hyun-U;Kim, Sang-Youn
    • The Journal of Korea Robotics Society
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    • v.16 no.1
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    • pp.41-48
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    • 2021
  • In this paper, we review papers which report to the all solid-state electroactive polymer-based tunable lens. Since electroactive polymer-based tunable lenses change their focal length by responding to electric stimuli, it can be minimized the size and weight of optical modules. Thus, it has been received attention in the robot, mobile device and display industry. The all solid-state electroactive polymer-based tunable lenses can be classified into two categories depending on the classification of materials: ionic electroactive polymer-based lenses and non-ionic electroactive polymer-based lenses. Most of the ionic electroactive polymer-based tunable lenses are fabricated with ionic polymer-metal composite. So, the ionic electroactive polymer-based tunable lenses can be operated under low electric voltage. But small force, slow recovery time and environmental limitation for operation has been pointed to the disadvantage of the lenses. The non-ionic electroactive polymer-based tunable lenses are classified again into two categories: dielectric polymer-based tunable lenses and polyvinylchloride gel-based tunable lenses. The advantage of the dielectric polymer-based tunable lenses is fast response to electric stimuli. But the essential flexible electrodes degrade performance of the lens. Polyvinylchloride gel-based tunable lens has reported impressive performance without flexible electrodes.

Deep Learning-Based Smart Meter Wattage Prediction Analysis Platform

  • Jang, Seonghoon;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.173-178
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    • 2020
  • As the fourth industrial revolution, in which people, objects, and information are connected as one, various fields such as smart energy, smart cities, artificial intelligence, the Internet of Things, unmanned cars, and robot industries are becoming the mainstream, drawing attention to big data. Among them, Smart Grid is a technology that maximizes energy efficiency by converging information and communication technologies into the power grid to establish a smart grid that can know electricity usage, supply volume, and power line conditions. Smart meters are equient that monitors and communicates power usage. We start with the goal of building a virtual smart grid and constructing a virtual environment in which real-time data is generated to accommodate large volumes of data that are small in capacity but regularly generated. A major role is given in creating a software/hardware architecture deployment environment suitable for the system for test operations. It is necessary to identify the advantages and disadvantages of the software according to the characteristics of the collected data and select sub-projects suitable for the purpose. The collected data was collected/loaded/processed/analyzed by the Hadoop ecosystem-based big data platform, and used to predict power demand through deep learning.

High-Definition Map-based Local Path Planning for Dynamic and Static Obstacle Avoidance (동적 및 정적 물체 회피를 위한 정밀 도로지도 기반 지역 경로 계획)

  • Jung, Euigon;Song, Wonho;Myung, Hyun
    • The Journal of Korea Robotics Society
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    • v.16 no.2
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    • pp.112-121
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    • 2021
  • Unlike a typical small-sized robot navigating in a free space, an autonomous vehicle has to travel in a designated road which has lanes to follow and traffic rules to obey. High-Definition (HD) maps, which include road markings, traffic signs, and traffic lights with high location accuracy, can help an autonomous vehicle avoid the need to detect such challenging road surroundings. With space constraints and a pre-built HD map, a new type of path planning algorithm can be conceived as a substitute for conventional grid-based path planning algorithms, which require substantial planning time to cover large-scale free space. In this paper, we propose an obstacle-avoiding, cost-based planning algorithm in a continuous space that aims to pursue a globally-planned path with the help of HD map information. Experimentally, the proposed algorithm is shown to outperform other state-of-the-art path planning algorithms in terms of computation complexity in a typical urban road setting, thereby achieving real-time performance and safe avoidance of obstacles.

Repair of tendon injury in Taekwondo by nanobiotics

  • Dilong An;Shun Jiang;Tongtong Cai;Wei Tian
    • Advances in nano research
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    • v.14 no.6
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    • pp.591-602
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    • 2023
  • In the present study, capability of nanobiotics in repairing tendon injuries commonly occur in Taekwondo sport is investigated and some approaches are proposed. In this regard, a brief review on the types and application of nanobiotics is presented. Their capabilities and limitation are discussed. Next, different type of tendon injuries in Taekwondo athletes are discussed along with their treatment approaches. Based on the presented data, a nano-scale feasible robot model carrying nanobiotics is proposed for repairing tendons. Finite element simulations is also conducted to show the effectiveness of the repairing process using nanorobots equipped with nanobiotics. This repairing procedure is a combination of mechanical and chemical treatments. The results indicated that using nanobiotics on nanorobots arms in the repair of tendon injuries has many benefits. First, drug delivery is directly injected to the target section. Second, Due to the nanorobots small sizes more acute treatment is possible. Finally, since the control of the nanorobots are assisted with computers, the possibility of human error reduces significantly. The proposed method of the present study could be utilized by other scientists and technological industry in developing final nanorobots with nanobiotics carrying capacity.

External pancreatic ductal stenting in minimally invasive pancreatoduodenectomy: How to do it?

  • Ram Prakash Gurram;Harilal S L;Senthil Gnanasekaran;Satyaprakash Ray Choudhury;Biju Pottakkat;Kalayarasan Raja
    • Annals of Hepato-Biliary-Pancreatic Surgery
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    • v.27 no.2
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    • pp.211-216
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    • 2023
  • It has been shown that external pancreatic ductal stenting (EPDS) can reduce the incidence of clinically relevant postoperative pancreatic fistula. Although studies have described EPDS in open pancreaticoduodenectomy (PD), EPDS in minimally invasive PD has not been reported yet. Thus, the objective of this study was to describe the technique of EPDS in minimally invasive PD. The procedure was performed either laparoscopically or using a robot. Once PD was completed, key steps included triple enterotomy, threading of silk-suture through all enterotomies and exteriorization, completing posterior layer of pancreaticojejunostomy (PJ), railroading stent through preplaced silk-suture, intubation of stent into the pancreatic duct, completion of PJ, followed by hepaticojejunostomy and parietalization of jejunum at the stent exit site. EPDS in PD through a minimally invasive approach can be performed safely in selected cases with either a small-sized pancreatic duct or a soft pancreas.

Distortion Removal and False Positive Filtering for Camera-based Object Position Estimation (카메라 기반 객체의 위치인식을 위한 왜곡제거 및 오검출 필터링 기법)

  • Sil Jin;Jimin Song;Jiho Choi;Yongsik Jin;Jae Jin Jeong;Sang Jun Lee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.19 no.1
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    • pp.1-8
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    • 2024
  • Robotic arms have been widely utilized in various labor-intensive industries such as manufacturing, agriculture, and food services, contributing to increasing productivity. In the development of industrial robotic arms, camera sensors have many advantages due to their cost-effectiveness and small sizes. However, estimating object positions is a challenging problem, and it critically affects to the robustness of object manipulation functions. This paper proposes a method for estimating the 3D positions of objects, and it is applied to a pick-and-place task. A deep learning model is utilized to detect 2D bounding boxes in the image plane, and the pinhole camera model is employed to compute the object positions. To improve the robustness of measuring the 3D positions of objects, we analyze the effect of lens distortion and introduce a false positive filtering process. Experiments were conducted on a real-world scenario for moving medicine bottles by using a camera-based manipulator. Experimental results demonstrated that the distortion removal and false positive filtering are effective to improve the position estimation precision and the manipulation success rate.

The Technique of Human tracking using ultrasonic sensor for Human Tracking of Cooperation robot based Mobile Platform (모바일 플랫폼 기반 협동로봇의 사용자 추종을 위한 초음파 센서 활용 기법)

  • Yum, Seung-Ho;Eom, Su-Hong;Lee, Eung-Hyuk
    • Journal of IKEEE
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    • v.24 no.2
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    • pp.638-648
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    • 2020
  • Currently, the method of user-follwoing in intelligent cooperative robots usually based in vision system and using Lidar is common and have excellent performance. But in the closed space of Corona 19, which spread worldwide in 2020, robots for cooperation with medical staff were insignificant. This is because Medical staff are all wearing protective clothing to prevent virus infection, which is not easy to apply with existing research techniques. Therefore, in order to solve these problems in this paper, the ultrasonic sensor is separated from the transmitting and receiving parts, and based on this, this paper propose that estimating the user's position and can actively follow and cooperate with people. However, the ultrasonic sensors were partially applied by improving the Median filter in order to reduce the error caused by the short circuit in communication between hard reflection and the number of light reflections, and the operation technology was improved by applying the curvature trajectory for smooth operation in a small area. Median filter reduced the error of degree and distance by 70%, vehicle running stability was verified through the training course such as 'S' and '8' in the result.

Using Platforms as Market Creation Strategies for Small and Medium-Sized Service Robotics Companies in South Korea: The ROBOPRINT Case Study (국내 중소 서비스용 로봇 기업의 플랫폼을 이용한 시장 창출 전략: 로보프린트 사례연구)

  • Oh, Soo Jung
    • Korean small business review
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    • v.43 no.2
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    • pp.59-86
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    • 2021
  • The platform concept has been used for business operations in various forms: product platforms, transaction platforms and industry platforms. All these platforms have common characteristics of having 'core' that is reused frequently and 'peripherals' that are less reusable and changed often. Companies use platforms to enable efficient development and creation of product family, transactions and innovation. These platforms provide new opportunities for many small and medium-sized companies (SMEs) by bringing changes to traditional industrial structures focused on the products rather than platforms. The service robotics industry in South Korea is mainly composed of technology-intensive SMEs due to its small market size. Although these SMEs succeed in developing technologies, they have difficulties creating and expanding markets to sell products. Thus, this study addresses the characteristics and problems of the South Korean service robotics industry and analyses how ROBOPRINT, one of the SMEs in the service robotics industry, successfully creates and continuously expands the service robot market by adopting platform concept. The results indicate that ROBOPRINT has been applying two types of platforms: product and transaction platforms. First, ROBOPRINT created art robots that were apartment mural service robots. Rather than selling art robots, the company developed various robots such as painting robots, building exterior wall-cleaning robots by reusing the core technology of the robots. The company also developed various robots according to the buyers request. In addition, the company used the robots to directly provide apartment mural services for customers. This mural service has been extended into various areas, not only in apartments but also in soundproof walls, underground passages, and retaining walls. Besides, ROBOPRINT added new services continuously by developing technologies such as virtual reality. Second, ROBOPRINT mediated mural service buyers and mural designers. This platform reduced buyers' workload, which necessitates requesting mural services to ROBOPRINT and searching for mural designers. For designers, this opened up new opportunities to participate in the mural business. The platform attracted both mural buyers and designers who were scattered before. Finally, ROBOPRINT seeks to expand the platform's scope to outside company. To share internally reused ROBOPRINT's technology with other companies, the company participated in Daegu city's 'New Technology Platform Industry'. Furthermore, ROBOPRINT is trying to share the service platform by leasing robots to other companies. This allows external agents to develop technologies and provide services by reusing resources from ROBOPRINT. This study contributes to existing theories by showing that SMEs continuously create and expand markets by building various platforms. Moreover, it provides useful implications for practitioners by describing the firm's specific platform-building strategy.