• Title/Summary/Keyword: robot trajectory

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Side Scan Sonar based Pose-graph SLAM (사이드 스캔 소나 기반 Pose-graph SLAM)

  • Gwon, Dae-Hyeon;Kim, Joowan;Kim, Moon Hwan;Park, Ho Gyu;Kim, Tae Yeong;Kim, Ayoung
    • The Journal of Korea Robotics Society
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    • v.12 no.4
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    • pp.385-394
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    • 2017
  • Side scanning sonar (SSS) provides valuable information for robot navigation. However using the side scanning sonar images in the navigation was not fully studied. In this paper, we use range data, and side scanning sonar images from UnderWater Simulator (UWSim) and propose measurement models in a feature based simultaneous localization and mapping (SLAM) framework. The range data is obtained by echosounder and sidescanning sonar images from side scan sonar module for UWSim. For the feature, we used the A-KAZE feature for the SSS image matching and adjusting the relative robot pose by SSS bundle adjustment (BA) with Ceres solver. We use BA for the loop closure constraint of pose-graph SLAM. We used the Incremental Smoothing and Mapping (iSAM) to optimize the graph. The optimized trajectory was compared against the dead reckoning (DR).

Trajectoroy control for a Robot Manipulator by Using Multilayer Neural Network (다층 신경회로망을 사용한 로봇 매니퓰레이터의 궤적제어)

  • 안덕환;이상효
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.11
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    • pp.1186-1193
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    • 1991
  • This paper proposed a trajectory controlmethod for a robot manipulator by using neural networks. The total torque for a manipulator is a sum of the linear feedback controller torque and the neural network feedfoward controller torque. The proposed neural network is a multilayer neural network with time delay elements, and learns the inverse dynamics of manipulator by means of PD(propotional denvative)controller error torque. The error backpropagation (BP) learning neural network controller does not directly require manipulator dynamics information. Instead, it learns the information by training and stores the information and connection weights. The control effects of the proposed system are verified by computer simulation.

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An Output Controller based on dSPACE for Robot Manipulator in Tracking Following Tasks

  • Yang, Yeon-Mo;Park, Dae-Bum;Ahn, Byung-Ha
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.117-122
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    • 1998
  • The recent developments and studies in the framework of output tracking control in the field of robotics that has been studied in the Control Laboratory, are presented. An output controller based on“Hardware-ln-the-Loop Simulation”(HILS) and“Rapid Control Prototyping”(RCP) concepts is developed using dSPACE. These new concepts are shown to be particularly beneficial for manipulator control tasks. In the Elbow manipulator design, there are two kinds of manipulators, namely the serial-drive type and the parallelogram-drive manipulator, The objective of this research is to model the two Elbow manipulators and to implement the proposed controller for manipulator applications. The control goal is to force the manipulator to follow a given trajectory in the given work space. Output controllers of the two elbow manipulators that are based on the model matching control approach have been implemented in two models that represent the robot equations of motion. To reduce the efforts in evaluating the proposed algorithm, a new system configuration method, based on HILS and RCP tools, was suggested to determine the parameters of the integrated dynamic system.

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Optimization on Working Trajectory of a Quadruped Robot Based on Jansen Mechanism (얀센 메커니즘 기반의 4 족 로봇의 보행 궤적의 최적화)

  • Bae, JoonSeok;Yu, SeongMin;Kim, MinJun;Jeong, EunSik;Han, SangMin;Hwang, WooJung;Choi, JaeNeung;Lee, ChoonYeol
    • Proceeding of EDISON Challenge
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    • 2016.03a
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    • pp.397-403
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    • 2016
  • Various walking robot platforms have been developed to carry out missions such as explorations, pass of obstacle or inspections of dangerous environments. In this work, a four legs mechanism based on Jansen mechanism is developed, which can follow a certain track and overcome obstacles. To find the ideal locus, computer programs are used such as M. sketch and Working model. Using these program tools, moderate linkage sizes are selected in Science Box. Furthermore, in order to optimize design of legs, a level average analysis is used as well as Edison S/W. Through the design optimization, improved stride of locus is found.

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Gait Implementation of Biped Robot for a continuous human-like walking (이족 보행 로봇의 인간과 유사한 지속보행을 위한 걸음새 구현)

  • Jin, Kwang-Ho;Jang, Chung-Ryoul;Koo, Ja-Hyuk;Choi, Sang-Ho;Kim, Jin-Geol
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.3092-3094
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    • 1999
  • This paper deals with the gait generation of Biped Walking Robot (IWR-III) to have a continuous walking pattern like human. For this, trajectory planning with the consideration of kick action is done in each walking step, and the coordinate transformation is done for simplifying the kinematics. The trunk moves continuously for all walking time and moves toward Z-axis. Balancing motion is acquired by FDM(Finite Difference Method) during the walking. By combining 4-types of pre-defined steps, multi-step walking is done. Using numerical simulator, dynamic analysis and system stability is confirmed. Walking motion is visualized by 3D-Graphic simulator. As a result, the motion of balancing joints can be reduced by the trunk ahead effect during kick action, and impactless smooth walking is implemented by the experiment.

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Center of Mass Compliance Control of Humanoid Using Disturbance Observer (외란 관측기를 이용한 휴머노이드 무게 중심 유연 동작 제어)

  • Park, Gyeongjae;Kim, Myeong-Ju;Park, Jaeheung
    • The Journal of Korea Robotics Society
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    • v.17 no.3
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    • pp.339-346
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    • 2022
  • To operate in real environment, humanoid robots should be able to react to unknown disturbances. To deal with disturbances, various robust control algorithms have been developed for decades. But for collaborative works such as teleoperation system, a compliance control can be the better solution for disturbance reactions. In this paper, a center of mass (CoM) compliance control algorithm for humanoid robots is proposed. The proposed algorithm is based on the state observer and positive feedback of disturbance. With the state observer based on humanoid CoM control performance model, disturbance in each direction can be observed. The positive feedback of disturbances to the reference CoM trajectory enables compliant motion. The main contributions of this algorithm are achieving compliance independently in each axis and maintaining balance against external force. Through dynamic simulations, the performance of the proposed method was demonstrated. Under two types of disturbance conditions, humanoid robot DYROS-JET reacted with compliant motion via the proposed algorithm.

Design of a real time adaptive controller for industrial robot using TMS320C31 chip (TMS320C31칩을 사용한 산엽용 로보트의 실시간 적응 제어기 설계)

  • Han, S.H.;Kim, Y.T.;Lee, M.H.;Kim, S.K.;Kim, J.O.
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.10
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    • pp.94-104
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    • 1996
  • This paper presents a new approach to the design of adaptive control system using DSPs(TMS320C31) for robotic manpulators to achieve accurate trajectory tracking by the joint angles Digital signal processors are used in implementing real time adaptive control algorithms to provide an enhanced motion control for robotic manipulators. In the proposed contorl scheme, adaptation laws are derived from the improved Lyapunov second stability analysis method based on the adaptive model reference control theory. The adaptive controller consists of an adaptive feedforward controller, feedback controller, and PID type time varying auxillary control elements. The proposed adaptive control scheme is simple in structure, fast in computation, and suitable for implementation of real-time control. Morever, this scheme does not require an accurate dynamic modeling nor values of manpipulator parameters and payload. Performance of the adaptive controller is illustated by simulation and experimental results for a SCARA robot.

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Autonomous Calibration of a 2D Laser Displacement Sensor by Matching a Single Point on a Flat Structure (평면 구조물의 단일점 일치를 이용한 2차원 레이저 거리감지센서의 자동 캘리브레이션)

  • Joung, Ji Hoon;Kang, Tae-Sun;Shin, Hyeon-Ho;Kim, SooJong
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.2
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    • pp.218-222
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    • 2014
  • In this paper, we introduce an autonomous calibration method for a 2D laser displacement sensor (e.g. laser vision sensor and laser range finder) by matching a single point on a flat structure. Many arc welding robots install a 2D laser displacement sensor to expand their application by recognizing their environment (e.g. base metal and seam). In such systems, sensing data should be transformed to the robot's coordinates, and the geometric relation (i.e. rotation and translation) between the robot's coordinates and sensor coordinates should be known for the transformation. Calibration means the inference process of geometric relation between the sensor and robot. Generally, the matching of more than 3 points is required to infer the geometric relation. However, we introduce a novel method to calibrate using only 1 point matching and use a specific flat structure (i.e. circular hole) which enables us to find the geometric relation with a single point matching. We make the rotation component of the calibration results as a constant to use only a single point by moving a robot to a specific pose. The flat structure can be installed easily in a manufacturing site, because the structure does not have a volume (i.e. almost 2D structure). The calibration process is fully autonomous and does not need any manual operation. A robot which installed the sensor moves to the specific pose by sensing features of the circular hole such as length of chord and center position of the chord. We show the precision of the proposed method by performing repetitive experiments in various situations. Furthermore, we applied the result of the proposed method to sensor based seam tracking with a robot, and report the difference of the robot's TCP (Tool Center Point) trajectory. This experiment shows that the proposed method ensures precision.

Development of Body-Weight-Support System for Walking Rehabilitation (보행 재활을 위한 신체 자중 보상용 모바일 로봇에 관한 연구)

  • Suh, Seung-Whan;Yu, Seung-Nam;Lee, Sang-Ho;Han, Chang-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.10
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    • pp.3658-3665
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    • 2010
  • As the population of elderly people and disabled people are increased, various demands for human welfare using robot system are raised. Especially autonomous rehabilitation system using robot could reduce the human effort while maintaining the its intrinsic efficacy. This study deals with mobile gait rehabilitation system which combined with BWS (Body Weight Support) for training of elderly and handicapped people who suffer the muscle force weakness of lower extremity. BWS which is designed by kinematic analysis of body lifting characteristics and walking guide system are integrated with main control system and wheeled platform. This mobile platform is operated by UCS (User Command System) and autonomous trajectory planning algorithm. Finally, through the EMG (Electromyography) signal measuring and its analysis for subject, performance and feasibility of developed system is verified.

Control Algorithm for Stable Galloping of Quadruped Robots on Irregular Surfaces (비평탄면에서의 4 족 로봇의 갤로핑 알고리즘)

  • Shin, Chang-Rok;Kim, Jang-Seob;Park, Jong-Hyeon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.6
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    • pp.659-665
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    • 2010
  • This paper proposes a control algorithm for quadruped robots moving on irregularly sloped uneven surfaces. Since the body balance of a quadruped robot is controlled by the forces acting on its feet during touchdown, the ground reaction force (GRF) is controlled for stable running. The desired GRF for each foot is generated on the basis of the desired galloping pattern; this GRF is then compared with the actual contact force. The difference between the two forces is used to modify the foot trajectory. The desired force is realized by considering a combination of the rate change of the angular and linear momenta at flight. Then, the amplitude of the GRF to be applied at each foot in order to achieve the desired linear and angular momenta is determined by fuzzy logic. Dynamic simulations of galloping motion were performed using RecurDyn; these simulations show that the proposed control method can be used to achieve stable galloping for a quadruped robot on irregularly sloped uneven surfaces.