• Title/Summary/Keyword: Robot simulation

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Hardware Design of Four-legged Walking Robot Considering the Optimal Design of Non-flat Topography and Torque Simulation for Motor Selection (비평탄 지형의 최적화를 고려한 4족 보행 로봇의 Hardware 설계와 모터 선정을 위한 토크 시뮬레이션)

  • Yu, Sang-jung;Pak, Myeong-Suk;Kim, Sang-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.294-297
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    • 2022
  • 본 논문에서는 비평탄 지형 보행이 가능한 이동형 로봇의 설계 최종 목적에 최적화된 12자유도 소형 4족 로봇의 하드웨어를 설계하였으며, 비평탄 지형을 극복하기 위한 지능적인 보행을 설계하고 그에 따른 각 관절별 모터들의 용량을 분석하고 시뮬레이션을 통해 최적의 파라미터값들을 도출한다

The Study of Gain Optimization of Sliding Model Controller with Sliding Perturbation Observer by using of Genetic Algorithm

  • K.S. You;Park, M.K.;Lee, M.C.
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.495-495
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    • 2000
  • The Stewart platform manipulator is a closed-kinematis chain robot manipulator that is capable of providing high st겨ctural rigidity and positional accuracy. However, this is a complex structure, so controllability of the system is not so good. In this paper, it introduces a new robust motion control algorithm using partial state feedback for a class of nonlinear systems in the presence of modelling uncertainties and external disturbances. The major contribution of this work introduces the development and design of robust observer for the slate and the perturbation w.hich is integrated into a variable structure controller(VSC) structure. The combination of controller/observer gives rise to the robust routine called sliding mode control with sliding perturbation observer(SMCSPO). The optimal gains of SMCSPO are easily obtained by genetic algorithm. Simulation and experiment are presented in order to apply to the stewart platform manipulator. There results show highly' accuracy and performance.

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Simulation and Implementation of Potential Field Based Self-Deployment Scheme in Mobile Sensor Robot Networks (이동 센서 로봇 네트워크에서 포텐셜 필드 기반 자율배치기법의 시뮬레이션 및 구현)

  • Kang, In-Seok;Kim, Young-Hwan;Kim, Chan-Myung;Han, Yun-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.635-638
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    • 2011
  • 기존 센서들은 고정형 무선 네트워크로 구성되어 재난지역, 군사지역 등의 지역에서는 데이터를 획득 할 수 있는 관찰영역이 제한적이다. 하지만 이동 능력을 가진 센서들이 스스로 주변 센서들의 위치와 장애물의 위치를 이용하여 자율 배치된다면 센서들의 관찰영역을 보다 많이 확보하면서 보다 더 정확한 데이터를 얻을 수 있다. 본 논문에서는 로봇 공학 분야에서 많이 사용하는 Player/Stage 시뮬레이터를 이용하여 다양한 실제 환경과 같은 가상의 환경에서 포텐셜 필드 방식을 적용한 센서 로봇 집단의 자율 배치 기법을 모의실험하고 검증한다. 또한 그 자율 배치 방법을 이용한 실제 이동 센서 로봇집단의 구현 내용 및 결과를 제시한다.

Data-Driven Batch Processing for Parameter Calibration of a Sensor System (센서 시스템의 매개변수 교정을 위한 데이터 기반 일괄 처리 방법)

  • Kyuman Lee
    • Journal of Sensor Science and Technology
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    • v.32 no.6
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    • pp.475-480
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    • 2023
  • When modeling a sensor system mathematically, we assume that the sensor noise is Gaussian and white to simplify the model. If this assumption fails, the performance of the sensor model-based controller or estimator degrades due to incorrect modeling. In practice, non-Gaussian or non-white noise sources often arise in many digital sensor systems. Additionally, the noise parameters of the sensor model are not known in advance without additional noise statistical information. Moreover, disturbances or high nonlinearities often cause unknown sensor modeling errors. To estimate the uncertain noise and model parameters of a sensor system, this paper proposes an iterative batch calibration method using data-driven machine learning. Our simulation results validate the calibration performance of the proposed approach.

A Study on Development of MSF Intelligent Robot Simulation based 3D using MSRDS (MSRDS를 활용한 3D 기반 다중센서융합 지능로봇 시뮬레이션 개발 연구)

  • Seong-Yong Hong;Eu-Gene Seo;Ho-Jin Choi
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.452-454
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    • 2008
  • 지능형 서비스 로봇 분야의 발전은 최근 들어 빠른 속도로 급성장하고 있으며 다양한 환경에서 상황인지를 수행하고, 지능로봇으로서의 역할을 수행 할 수 있는 로봇 개발 연구가 활발히 진행되고 있다. 따라서 본 논문에서는 MSRDS를 활용한 3차원(3D) 가상공간에서 다중센서융합(MSF) 지능로봇을 시뮬레이션 할 수 있는 환경과 개발 방법을 제안한다. 또한 시뮬레이션 환경에서 다중센서융합을 적용한 지능로봇 개발방법을 연구하고 실험한다. 본 연구에 목적은 다양한 실제 환경에 로봇이 지능적으로 대처할 수 있도록 다중센서를 융합하고 시뮬레이션 로봇에 적용하여 지능로봇을 개발 할 수 있는 3 차원 시뮬레이션 시스템 환경을 개발하는 것이다. 유비쿼터스 시대에 가상공간이 아닌 현실세계에 적응할 수 있는 실제 지능로봇 개발에 큰 도움이 될 수 있을 것으로 기대한다.

Simulation and reality map construction technology in ROS-based robot environment (ROS기반 로봇 환경에서의 시뮬레이션과 현실 맵 구축 기술)

  • Jeong-Hwan Choi;Hyeon-Jae Yoo;Jeong-Hwan Kawk;Min-Sung Kim;Byung-Mo Koo;Hyung-Hoon Kim;Hyeon-Min Sim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.782-783
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    • 2023
  • 로봇 운영 체제 (ROS)를 기반으로 한 로봇 환경에서 시뮬레이션과 현실 세계에서의 맵 구축 결과를 비교하고 분석하는 것을 목표로 한다. 초기 단계에서는 로봇을 URDF와 SDF 파일로 표현한다. 이를 기반으로 Rviz와 Gazebo 시뮬레이터에서 가상 환경을 구성한다. 시뮬레이션된 환경에서 로봇의 Mapping 결과를 획득한 후, 동일한 로봇을 실제 환경에서 운용하여 실제 맵을 생성하고 비교 한다.

Shape Prediction Method for Electromagnet-Embedded Soft Catheter Robot (전자석 내장형 소프트 카테터 로봇 형상 예측 방법)

  • Sanghyun Lee;Donghoon Son
    • The Journal of Korea Robotics Society
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    • v.19 no.1
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    • pp.39-44
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    • 2024
  • This study introduces a novel method for predicting the shape of soft catheter robots embedded with electromagnets. As an advancement in the realm of soft robotics, these catheter robots are crafted from flexible and pliable materials, ensuring enhanced safety and adaptability during interactions with human tissues. Given the pivotal role of catheters in minimally invasive surgeries (MIS), our design stands out by facilitating active control over the orientation and intensity of the inbuilt electromagnets. This ensures precise targeting and manipulation of the catheter segments. The research encompasses a comprehensive breakdown of the magnetic modeling, tracking algorithms, experimental layout, and analytical techniques. Both simulation and experimental results validate the efficacy of our method, underscoring its potential to augment accuracy in MIS and revolutionize healthcare-oriented soft robotics.

Sensor Based Path Planning and Obstacle Avoidance Using Predictive Local Target and Distributed Fuzzy Control in Unknown Environments (예측 지역 목표와 분산 퍼지 제어를 이용한 미지 환경에서의 센서 기반 경로 계획 및 장애물 회피)

  • Kwak, Hwan-Joo;Park, Gwi-Tae
    • Journal of IKEEE
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    • v.13 no.2
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    • pp.150-158
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    • 2009
  • For the autonomous movement, the optimal path planning connecting between current and target positions is essential, and the optimal path of mobile robot means obstacle-free and the shortest length path to a target position. Many actual mobile robots should move without any information of surrounded obstacles. Thus, this paper suggests new methods of path planning and obstacle avoidment, suitable in unknown environments. This method of path planning always tracks the local target expected as the optimal one, and the result of continuous tracking becomes the first generated moving path. This path, however, do not regard the collision with obstacles. Thus, this paper suggests a new method of obstacle avoidance resembled with the Potential Field method. Finally, a simulation confirms the performance and correctness of the path planning and obstacle avoidance, suggested in this paper.

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The Control of Flexible Robot Arm using Adaptive Control Theory (적응제어 이론을 이용한 유연한 로봇팔의 제어)

  • Han, Jong-Kil
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.5
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    • pp.1139-1144
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    • 2012
  • The ration of payload to weight of industrial robot amounts form 1:10 to 1:30. Compared with man who have a ration of 3:1, it is very low. One of the goals for the next generation of robots will be a ration. This might be possible only by developing lightweight robots. When two-link flexible arm is rotated about an joint axis, transverse vibration may occur. In this paper, vibration dynamics of flexible arm is modeled by using Bernoulli-Euler beam theory and Lagrange equation. Using the fact that matrix $\dot{D}-2C$ is skew symmetric, new controllers which have a simplified structure with less computational burden is proposed by using Lyapunov stability theory. We propose deterministic and adaptive control laws for two link flexible arm, and the validity of the proposed control scheme is shown in computer simulation for two-link flexible arm.

Trajectory Generation Method with Convolution Operation on Velocity Profile (속도 영역에서의 컨볼루션을 이용한 효율적인 궤적 생성 방법)

  • Lee, Geon;Kim, Doik
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.38 no.3
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    • pp.283-288
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    • 2014
  • The use of robots is no longer limited to the field of industrial robots and is now expanding into the fields of service and medical robots. In this light, a trajectory generation method that can respond instantaneously to the external environment is strongly required. Toward this end, this study proposes a method that enables a robot to change its trajectory in real-time using a convolution operation. The proposed method generates a trajectory in real time and satisfies the physical limits of the robot system such as acceleration and velocity limit. Moreover, a new way to improve the previous method (11), which generates inefficient trajectories in some cases owing to the characteristics of the trapezoidal shape of trajectories, is proposed by introducing a triangle shape. The validity and effectiveness of the proposed method is shown through a numerical simulation and a comparison with the previous convolution method.