• 대한공업교육학회지
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• v.34 no.2
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• pp.363-378
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• 2009

The objective of the paper is to design and produce a walking robot such as humanoid robot under the given design requirements and constraints. An approach to design and produce walking robot with 2 legs was suggested. It is walking robot of 5 joints which have both of ankles, both of knee joint, and pelvis. It has 5 degrees of freedom and moves by only rotations. We review the key points before the design of the walking robot. The walking robot is consisted of 2 portions : motor and frame, control board. Final goal is to walk stably and if it detects and cognizes a special object, the walking robot avoids it and moves in other direction. The walking robot was made according to design procedures and tested by proposed algorithms. The running test was successful under given 4 modes. The findings of this research could think kinds of technologies concurrently and approach synthetically through process of design and production.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5219-5226
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• 2011

A specialized anthropomorphic robot manipulator which can be attached to the housemaid robot McBot II, is developed In this paper. This built-in type manipulator consists of both arms with 3 DOF (Degree of Freedom) each and both hands with 3 DOF each. The robotic arm is optimally designed to satisfy both the minimum mechanical size and the maximum workspace. Minimum mass and length are required for the built-in cooperated-arms system. But that makes the workspace so small. This paper proposes optimal design method to overcome the problem by using neck joint to move the arms horizontally forward/backward and waist joint to move them vertically up/down. The robotic hand, which has two fingers and a thumb, is also optimally designed in task-based concept. Finally, the good performance of the developed manipulator is confirmed through live test of tasks.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.2
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• pp.171-177
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• 2004

In this paper, we propose a cognition-based navigational algorithm for mobile robots in dynamic environments. The proposed algorithm consists of two main stages: (i) the fuzzy logic-based perception stage that constructs knowledge from the sensory data for subsequent usage in reasoning, and (ii) the planning stage that identifies the path between a starting and a goal position within its environment on the basis of the knowledge base on the environment and information from the perception stage. A mobile robot reasons places and moves to goal using ambiguous information and ambiguous knowledge through ‘perception’ and ‘planning’. We provide computer simulation results for a mobile robot in order to show the validity of the proposed algorithm.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.3
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• pp.311-316
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• 2009

This paper presents the motion estimation algorithm on real-time for mobile surveillance robot using particle filter. the particle filter that based on the monte carlo's sampling method, use bayesian conditional probability model which having prior distribution probability and posterior distribution probability. However, the initial probability density was set to define randomly in the most of particle filter. In this paper, we find first the initial probability density using Sum of Absolute Difference(SAD). and we applied it in the partical filter. In result, more robust real-time estimation and tracking system on the randomly moving object was realized in the mobile surveillance robot environments.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.143-146
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• 2012

Ball-Plate를 기반으로 하는 균형제어 로봇은 크게 공의 상태를 파악하는 부분과 균형을 유지하는 제어부분 2가지로 구성되어진다. 본 논문은 공의 상태를 파악하기 위해서 단일 카메라를 이용하여 CAMShift 알고리즘으로 볼을 추적한다. 그리고 칼만 필터를 사용하여 발생하는 오차를 줄이는 방법을 제안하고 그 실험 결과에 대해서 설명한다.

• TTA Journal
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• s.146
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• pp.12-13
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• 2013

올해는 뱀의 해이다. '뱀'하면 대부분 사람들은 징그럽고 혐오스러운 모습을 떠올린다. 꿈틀거리는 커다란 몸뚱이, 소리없이 발밑을 '쓱'하고 스쳐 가는 듯한 촉감, 미끈하고 축축할 것만 같은 피부, 무서운 독을 품은채 허공을 날름거리는 기다란 혀, 사람을 노려보는 듯한 차가운 눈초리${\cdots}$. 게다가 아담과 이브를 에덴동산에서 쫓겨나게 한 장본인으로 교활함의 대명사가 돼버린 뱀은 분명 두렵고 꺼리게 되는 동물이다. 그러나 긴 몸을 꿈틀거리며 옆으로 미끄러지듯이 움직이는 뱀의 특이한 걸음걸이는 과학자들에게 오히려 아이디어의 대상이다.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1831-1832
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• 2008

This research dealt with feasibility study to build a route guidance robot for a blind man. It is important to recognize user's intentions for the guidance robot. The user's intentions have been caught through the information from joystick which has been processed by fuzz logic. We show that mobile robot obeys according to the recognized user's intention.

• Proceedings of the Korean Vacuum Society Conference
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• 1993.02a
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• pp.11-12
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• 1993

센서를 인간의 오감에 비유한다면 가속도센서는 시각, 청각, 촉각, 미각, 후각 중에서 어떤 감각기관인가\ulcorner 먼저 시각을 쉽게 생각할 수 있다. 시각기능은 거리, 위치, 형상에 민감하다. 그러나 이들의 시간에 다른 변화 즉 1차 미분량인 속도에는 어느정도 정성적으로 감응하나 2차 미분량인 가속도는 시각으로 판단하기 어렵다. 활강하는 스키선수나 써커스의 공중곡예가 시각에만 의존한다고 볼 수 없으며 이러한 로봇(robot)을 만든다고 할 때 가속도 센서의 중요성은 상상 할 수 있을 것이다. 움직이는 모든 시스템의 동적특성을 제어하기 위해 정교한 가속도센서는 필수적이다.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.1
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• pp.65-71
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• 2013

In this work, new smart phone based moving target detection is proposed. In order to implement the task, methods of real time image transmission from network camera, motion detecting algorithm and its effective implementation are also addressed. The network camera transfers image data by MJPEG format which contains various information such as data and IP address, and the smart phone separates the image data received through a WiFi module. Later, the image data is converted to a Bitmap image format, and with the help of the embedded OpenCV library on a smart phone and algorithm, it was found that the moving object was identified effectively in terms of real time monitoring and detection.

• Proceedings of the KIEE Conference
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• 2000.11d
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• pp.809-811
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• 2000

협조행동이 요구되는 다수의 자율이동로봇 시스템에서 각 개체는 주변환경의 인식뿐만 아니라 지속적인 환경변화에 적응할 수 있는 고도의 추론능력을 요구하고 있다. 이에 본 논문에서는 강화학습을 이용하여 동적으로 변화하는 환경에서 스스로 학습하여 대처할 수 있는 협조행동 방법을 제시하였다. 강화학습은 동물의 학습방법 연구에서 비롯되었으며, 주어진 목표를 수행하는 과정에서 개체의 행동이 목표를 성취하도록 하였을 때는 그 행동에 보상을 주어 환경의 상태에 따른 최적의 행동방법을 찾아내도록 학습하는 방법이다. 따라서 본 논문에서는 포식자들이 협조행동을 통하여 능동적으로 움직이는 먹이를 잡는 까다로운 문제에 제안한 방법을 적용하여 그 성능을 검증하였다.