• Title/Summary/Keyword: Path Planning and Control

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Moving Stereo Vision-based Motion Plan by Recognizing the Obstacle Height for Intelligent Mobile Robot

  • Yoon, Yeo-Hong;Jo, Kang-Hyun;Kang, Hyun-Deok;Moon, In-Hyuk
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.91.2-91
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    • 2001
  • This paper describes the path planning of an autonomous mobile robot using one camera-based sequence image processing. As an assumption, all objects in front of the mobile robot are located on the same plane where robot moves. Using the moving camera grounded on the autonomous mobile robot, the robot extracts the angular points of obstacle objects, calculates the height using the assumption and discrepancy between two consecutive images. In the image processing, angular points of objects must correspond so that they deliver the size of objects. Thus, the robot passes through if the object has not the height, like the paper or the shadow projected. Otherwise, the robot passes aside if ...

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3D-based Earthwork Planning and CO2 Emission Estimation for Automated Earthworks (자동화 토공을 위한 3D 토량배분과 탄소발생량 추정)

  • Kim, Sung-Keun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.3
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    • pp.1191-1202
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    • 2013
  • The former researches on earthwork automation were mainly focused on GPS and sensor application, environment modelling, equipment path planning, work information management, and remote control etc. Recently, reducing $CO_2$ emission becomes one of main focuses for an automation research. In the case of earthwork operations, many kinds of construction machines or robots are involved, which can cause high level of $CO_2$ in a construction site. An effective earthwork plan and construction machine operation can both increase productivity and safety and decrease $CO_2$ emission level. In this research, some automation concepts for green earthworks are suggested such as a 3D construction site model, a 3D earthwork distribution based on two different earthwork methods, and an earthwork package construction method. A excel-based simulator is developed to generate the 3D earthwork distribution and to estimate the level of $CO_2$ emission for the given earthwork.

A Point Navigation Guidance Law for Unmanned Helicopter Using Predicted Position (위치 예측에 기반한 무인헬기 점항법 유도법칙 개발)

  • Kim, Seong-Pil;Lee, Jang-Ho;Kim, Bong-Ju;Gwon, Hyeong-Jun;Kim, Eung-Tae;An, Lee-Gi
    • Aerospace Engineering and Technology
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    • v.5 no.2
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    • pp.1-7
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    • 2006
  • This paper presents a new point navigation guidance law which is useful for unmanned helicopters. Predicting the future position, the guidance law generates velocity and heading commands, which are used as input to autopilot. This method differs from conventional guidance law in that it reorients the direction of flight velocity vector directly, not by bank angle indirectly. For flight tests, we have developed a flight control system for a R/C helicopters. The system consists of a flight control computer, navigation sensors, and a ground station The results of the test show that the proposed law guides a unmanned helicopter along a line path within a given area. In the future, we are planning to extend the guidance law to the mission of path following. i.e., waypoint navigation.

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COORDINATION CHART COLLISION-FREE MOTION OF TWO ROBOT ARMSA

  • Shin, You-Shik;Bien, Zeung-Nam
    • 제어로봇시스템학회:학술대회논문집
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    • 1987.10a
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    • pp.915-920
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    • 1987
  • When a task requires two robot arms to move in a cooperative manner sharing a common workspace, potential collision exists between the two robot arm . In this paper, a novel approach for collision-free trajectory planning along paths of two SCARA-type robot arms is presented. Specifically, in order to describe potential collision between the links of two moving robot arms along the designated paths, an explicit form of "Virtual Obstacle" is adopted, according to which links of one robot arm are made to grow while the other robot arm is forced to shrink as a point on the path. Then, a notion of "Coordination Chart" is introduced to visualize the collision-free relationship of two trajectories.of two trajectories.

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Sensor-Based Path Planning for Planar Two-identical-Link Robots by Generalized Voronoi Graph (일반화된 보로노이 그래프를 이용한 동일 두 링크 로봇의 센서 기반 경로계획)

  • Shao, Ming-Lei;Shin, Kyoo-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.12
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    • pp.6986-6992
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    • 2014
  • The generalized Voronoi graph (GVG) is a topological map of a constrained environment. This is defined in terms of workspace distance measurements using only sensor-provided information, with a robot having a maximum distance from obstacles, and is the optimum for exploration and obstacle avoidance. This is the safest path for the robot, and is very significant when studying the GVG edges of highly articulated robots. In previous work, the point-GVG edge and Rod-GVG were built with point robot and rod robot using sensor-based control. An attempt was made to use a higher degree of freedom robot to build GVG edges. This paper presents GVG-based a new local roadmap for the two-link robot in the constrained two-dimensional environment. This new local roadmap is called the two-identical-link generalized Voronoi graph (L2-GVG). This is used to explore an unknown planar workspace and build a local roadmap in an unknown configuration space $R^2{\times}T^2$ for a planar two-identical-link robot. The two-identical-link GVG also can be constructed using only sensor-provided information. These results show the more complex properties of two-link-GVG, which are very different from point-GVG and rod-GVG. Furthermore, this approach draws on the experience of other highly articulated robots.

Proximal Policy Optimization Reinforcement Learning based Optimal Path Planning Study of Surion Agent against Enemy Air Defense Threats (근접 정책 최적화 기반의 적 대공 방어 위협하 수리온 에이전트의 최적 기동경로 도출 연구)

  • Jae-Hwan Kim;Jong-Hwan Kim
    • Journal of the Korea Society for Simulation
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    • v.33 no.2
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    • pp.37-44
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    • 2024
  • The Korean Helicopter Development Program has successfully introduced the Surion helicopter, a versatile multi-domain operational aircraft that replaces the aging UH-1 and 500MD helicopters. Specifically designed for maneuverability, the Surion plays a crucial role in low-altitude tactical maneuvers for personnel transportation and specific missions, emphasizing the helicopter's survivability. Despite the significance of its low-altitude tactical maneuver capability, there is a notable gap in research focusing on multi-mission tactical maneuvers that consider the risk factors associated with deploying the Surion in the presence of enemy air defenses. This study addresses this gap by exploring a method to enhance the Surion's low-altitude maneuvering paths, incorporating information about enemy air defenses. Leveraging the Proximal Policy Optimization (PPO) algorithm, a reinforcement learning-based approach, the research aims to optimize the helicopter's path planning. Visualized experiments were conducted using a Surion model implemented in the Unity environment and ML-Agents library. The proposed method resulted in a rapid and stable policy convergence for generating optimal maneuvering paths for the Surion. The experiments, based on two key criteria, "operation time" and "minimum damage," revealed distinct optimal paths. This divergence suggests the potential for effective tactical maneuvers in low-altitude situations, considering the risk factors associated with enemy air defenses. Importantly, the Surion's capability for remote control in all directions enhances its adaptability in complex operational environments.

Implementation of a X-Plane and MATLAB/Simulink based Simulation System for Multiple UAVs (X-Plane 및 MATLAB/Simulink 기반의 복수무인기 모의실험 시스템 개발)

  • Moon, Sangwoo;Oh, Eun-Mi;You, Dong-Il;Shim, David Hyunchul
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.5
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    • pp.442-449
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    • 2013
  • In this paper, a simulation system based on X-Plane and MATLAB/Simulink for multiple UAVs is presented. For the conceptual design of this proposed system, a hierarchical system architecture for multiple UAVs is presented. This architecture has object-oriented data structure which consists of three objects (UAV status, mission and task, and environment) and a hierarchy consisting of four layers (decision making layer, task assignment layer, path and motion planning layer, and collision avoidance layer) is also proposed. In addition, this paper shows a implementation of simulation system based on the proposed system architecture using X-Plane and MATLAB/Simulink. The result of simulation from the developed system in this paper validate capability of application for multiple UAVs in real environment.

Bio-inspired Walking and Swimming Underwater Robot Designing Concept and Simulation by an Approximated Model for the robot (유영과 보행이 가능한 생체모방 수중 로봇의 설계개념과 근사모델을 활용한 모의실험)

  • Kim, Hee-Joong;Jun, Bong-Huan;Lee, Jihong
    • The Journal of Korea Robotics Society
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    • v.9 no.1
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    • pp.57-66
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    • 2014
  • This paper describes the design concept of a bio-inspired legged underwater and estimating its performance by implementing simulations. Especially the leg structure of an underwater organism, diving beetles, is fully adopted to our designing to employ its efficiency for swimming. To make it possible for the robot to both walk and swim, the transformable kinematic model according to applications of the leg is proposed. To aid in the robot development and estimate swimming performance of the robot in advance, an underwater simulator has been constructed and an approximated model based on the developing robot was set up in the simulation. Furthermore, previous work that we have done, the swimming locomotion produced by a swimming patten generator based on the control parameters, is briefly mentioned in the paper and adopted to the simulation for extensive studies such as path planning and control techniques. Through the results, we established the strategy of leg joints which make the robot swim in the three dimensional space to reach effective controls.

Obstacle Classification Method using Multi Feature Comparison Based on Single 2D LiDAR (단일 2차원 라이다 기반의 다중 특징 비교를 이용한 장애물 분류 기법)

  • Lee, Moohyun;Hur, Soojung;Park, Yongwan
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.4
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    • pp.253-265
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    • 2016
  • We propose an obstacle classification method using multi-decision factors and decision sections based on Single 2D LiDAR. The existing obstacle classification method based on single 2D LiDAR has two specific advantages: accuracy and decreased calculation time. However, it was difficult to classify obstacle type, and therefore accurate path planning was not possible. To overcome this problem, a method of classifying obstacle type based on width data was proposed. However, width data was not sufficient to enable accurate obstacle classification. The proposed algorithm of this paper involves the comparison between decision factor and decision section to classify obstacle type. Decision factor and decision section was determined using width, standard deviation of distance, average normalized intensity, and standard deviation of normalized intensity data. Experiments using a real autonomous vehicle in a real environment showed that calculation time decreased in comparison with 2D LiDAR-based method, thus demonstrating the possibility of obstacle type classification using single 2D LiDAR.

A Generalized Hyperparamodulation Strategy Based on a Forward Reasoning for the Equality Relation ; RHU- resolution*

  • Lee, Jin-Hyeong;Im, Yeong-Hwan;O, Gil-Rok
    • ETRI Journal
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    • v.9 no.1
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    • pp.84-96
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    • 1987
  • The equality relation is very important in mechanical theorem proving procedures. A proposed inference rule called RHU-resolution is intended to extend the hyperparamodulation[23, 9] by introducing a bidirectional proof search that simultaneously employs a forward reasoning and a backward reasoning, and generalize it by incorporating beneflts of extended hyper steps with a preprocessing process, that includes a subsumption check in an equality graph and a high level planning. The forward reasoning in RHU-resolution may replace the role of the function substitution link.[9] That is, RHU-deduction without the function substitution link gets a proof. In order to control explosive generation of positive equalities by the forward reasoning, we haue put some restrictions on input clauses and k-pd links, and also have included a control strategy for a positive-positive linkage, like the set-of-support concept, A linking path between two end terms can be found by simple checking of linked unifiability using the concept of a linked unification. We tried to prevent redundant resolvents from generating by preprocessing using a subsumption check in the subsumption based eauality graph(SPD-Graph)so that the search space for possible RHU-resolution may be reduced.

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