• 제목/요약/키워드: Motion Trajectory Planning

검색결과 107건 처리시간 0.027초

모터 제어 입력 제한 조건이 고려된 차륜 이동 로봇을 위한 효율적인 최소 시간 코너링(Cornering) 주행 계획 (Efficient Minimum-Time Cornering Motion Planning for Differential-Driven Wheeled Mobile Robots with Motor Control Input Constraint)

  • 김재성;김병국
    • 제어로봇시스템학회논문지
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    • 제19권1호
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    • pp.56-64
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    • 2013
  • We propose an efficient minimum-time cornering motion planning algorithms for differential-driven wheeled mobile robots with motor control input constraint, under piecewise constant control input sections. First, we established mobile robot's kinematics and dynamics including motors, divided the cornering trajectory for collision-free into one translational section, followed by one rotational section with angular acceleration, and finally the other rotational section with angular deceleration. We constructed an efficient motion planning algorithm satisfying the bang-bang principle. Various simulations and experiments reveal the performance of the proposed algorithm.

이동로봇의 동작 제어를 위한 하이브리드 시스템 제어에 관한 연구 (Study on Hybrid Control for Motion Control of Mobile Robot Systems)

  • 임미섭;임진모;임준홍;오상록
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 G
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    • pp.2348-2350
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    • 1998
  • The hybrid control system for a wheeled mobile robot with nonholonomic constraints to perform a cluttered environment maneuver is proposed. The proposed hybrid control system consists of a continuous state system for the trajectory control, a discrete state system for the motion and orientation control, and an interface control system for the interaction process between the continuous dynamics and the discrete dynamics The continuous control systems are modeled by the switched systems with the control of driving wheels, and the digital automata for motion control are modeled and implemented by the abstracted motion of mobile robot. The motion control tasks such as path generation, motion planning, and trajectory control for a cluttered environment are investigated as the applications by simulation studies.

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Bezier Spline을 이용한 새로운 Weaving Motion 궤적 생성 알고리즘 (A New Planning Algorithm of Weaving Trajectory Using Bezier Spline)

  • 김대영;김재량;정원지;서영교;홍형표
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.1760-1763
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    • 2003
  • In this paper, we propose a new weaving trajectory algorithm for the are welding of a articulated manipulator. The algorithm uses the theory of Bezier spline. We make a comparison between the conventional algorithms using Catmull-Rom curve and the new algorithms rising Bezier spline. The proposed algorithm has been evaluated based on the MATLAB environment in order to illustrate its good performance. The algorithm has been implemented on to the industrial manipulator of DR6 so as to show its real possibility. Through simulations and real implementations, the proposed algorithm can result in high-speed and flexible weaving trajectory planning and can reduce the processing time because it needs one-half calculation compared to the conventional algorithm using Catmull-Rom curve.

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동적프로그래밍을 이용한 자율이동로봇의 동작계획 (Motion Planning of Autonomous Mobile Robot using Dynamic Programming)

  • 윤희상;박태형
    • 제어로봇시스템학회논문지
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    • 제16권1호
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    • pp.53-60
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    • 2010
  • We propose a motion planning method for autonomous mobile robots. In order to minimize traveling time, a smooth path and a time optimal velocity profile should be generated under kinematic and dynamic constraints. In this paper, we develop an effective and practical method to generate a good solution with lower computation time. The initial path is obtained from voronoi diagram by Dijkstra's algorithm. Then the path is improved by changing the graph and path simultaneously. We apply the dynamic programming algorithm into the stage of improvement. Simulation results are presented to verify the performance of the proposed method.

신경 최적화 회로망을 이용한 두 대의 로보트를 위한 최소시간 충돌회피 경로 계획 (Minimum-Time Trajectory Planning Ensuring Collision-Free Motion for Two Robots : Neural Optimization Network Approach)

  • 이지홍;변증남
    • 대한전자공학회논문지
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    • 제27권10호
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    • pp.44-52
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    • 1990
  • 공간상에 움직여야할 길이 주어진 두 대의 로보트의 속도계획 문제를 두 단계의 부문제로 나누어 각각의 독립적으로 다루는 방법을 도입하여 최소시간 속도계획 방법을 제안하였다. 제안된 방법은 i) 로보트가 각자의 길을 따라 이동한 거리를 두 축으로하는 코오디네이션 공간이라는 2차원 공간을 구축하고 이공간상에서 충돌을 피할 수 있도록 코오드네이션 곡선을 선정하고, ii)선정된 곡선을 따라 최소시간을 보장하는 속도계획을 하는 두 단계의 문제중 두 번째 단계의 문제에 대해 로보트의 동력학 및 각 관절의 최대 회전속도등을 고려하여 최적해를 구하는 방법을 제안하였다. 또한 신경 최적화 회로망의 이론을 응용하여 간단한 반복 계산 알고리듬으로 최적해를 구하였다. 제안된 방법은 두 대의 SCARA형 로보트의 경로계획의 예로 시뮬레이션하여 유용성을 보였다.

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궤도계획에 의한 수동모드의 효율적 배합에 관한 연구 (A study on an efficient combination of the manual mode according to trajectory planning)

  • 이순요;;;권규식;오제상
    • 대한인간공학회지
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    • 제6권1호
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    • pp.25-32
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    • 1987
  • The paesent paper deals with obtaining the properly mixed application critaeia for the manual mode, using computer graphic simulation, in order to recover the error effectively occurring in the advanced teleoperator work of man-robot system. In these experiments the error which is occurred during performing the automatic mode is recovered by the manual mode which is combined properly the operation by hyman with the operation by control program. The result shows an improvement availibility of the system by not only establishing an efficient combination of the manual mode according to trajectory planning but also recovering the error effectively. Therefore we suggest that the operation by control program should be applied in macro motion of control and the operation by human in micro motion of control.

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운동계획을 위한 입자 군집 최적화를 이용한 시범에 의한 학습의 적응성 향상 (Adaptability Improvement of Learning from Demonstration with Particle Swarm Optimization for Motion Planning)

  • 김정중;이주장
    • 한국산업융합학회 논문집
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    • 제19권4호
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    • pp.167-175
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    • 2016
  • We present a method for improving adaptability of Learning from Demonstration (LfD) strategy by combining the LfD and Particle Swarm Optimization (PSO). A trajectory generated from an LfD is modified with PSO by minimizing a fitness function that considers constraints. Finally, the final trajectory is suitable for a task and adapted for constraints. The effectiveness of the method is shown with a target reaching task with a manipulator in three-dimensional space.

모바일 매니퓰레이터의 NMPC 기반 장애물 회피 및 전신 모션 플래닝 (NMPC-based Obstacle Avoidance and Whole-body Motion Planning for Mobile Manipulator)

  • 김선홍;사샤 아제이;스웨버스 얀;최영진
    • 로봇학회논문지
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    • 제17권3호
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    • pp.359-364
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    • 2022
  • This study presents a nonlinear model predictive control (NMPC)-based obstacle avoidance and whole-body motion planning method for the mobile manipulators. For the whole-body motion control, the mobile manipulator with an omnidirectional mobile base was modeled as a nine degrees-of-freedom (DoFs) serial open chain with the PPR (base) plus 6R (arm) joints, and a swept sphere volume (SSV) was applied to define a convex hull for collision avoidance. The proposed receding horizon control scheme can generate a trajectory to track the end-effector pose while avoiding the self-collision and obstacle in the task space. The proposed method could be calculated using an interior-point (IP) method solver with 100[ms] sampling time and ten samples of horizon size, and the validation of the method was conducted in the environment of Pybullet simulation.

인간형 로봇의 임팩트 모델과 공기역학을 고려한 축구공의 궤적 계획 (Trajectory Planning of a Soccer Ball Considering Impact Model of Humanoid and Aerodynamics)

  • 소병록;이병주;최재연
    • 제어로봇시스템학회논문지
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    • 제11권1호
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    • pp.58-66
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    • 2005
  • Usual human gait can be modeled as continual impact phenomenon that happens due to the topological change of the kinematic structure of the two feet. The human being adapts his own control algorithm to minimize the ill effect due to the collision with the environment. In order to operate a Humanoid robot like the human being, it is necessary to understand the physics of the impact and to derive an analytical model of the impact. In this paper, specially, we focus on impact analysis of the kicking motion in playing soccer. At the instant of impact, the external impulse exerted on the ball by the foot is an important property. Initially, we introduce the complete external impulse model of the lower-extremity of the human body and analyze the external impulses for several kicking postures of the lower-extremity. Secondly, a trajectory-planning algorithm of a ball, in which the initial velocity and the launch angle of the ball are calculated for a desired trajectory of the ball, will be introduced. The aerodynamic effect such as drag force and lift force is also considered. We carry out numerical simulation and experimentation to verify the effectiveness of the proposed analytical methodology.

The feasible constant speed helical trajectories for propeller driven airplanes

  • Labonte, Gilles
    • Advances in aircraft and spacecraft science
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    • 제4권4호
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    • pp.371-399
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    • 2017
  • The motion of propeller driven airplanes, flying at constant speed on ascending or descending helical trajectories is analyzed. The dynamical abilities of the airplane are shown to result in restrictions on the ranges of the geometrical parameters of the helical path. The physical quantities taken into account are the variation of air density with altitude, the airplane mass change due to fuel consumption, its load factor, its lift coefficient, and the thrust its engine can produce. Formulas are provided for determining all the airplane dynamical parameters on the trajectory. A procedure is proposed for the construction of tables from which the flyability of trajectories at a given angle of inclination and radius can be read, with the corresponding minimum and maximum speeds allowed, the final altitude reached and the amount of fuel burned. Sample calculations are shown for the Cessna 182, a Silver Fox like unmanned aerial vehicle, and the C-130 Hercules.