• Title/Summary/Keyword: Robot Vehicle

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Implementation of an Autonomous Driving System for the Segye AI Robot Car Race Competition (세계 AI 로봇 카레이스 대회를 위한 자율 주행 시스템 구현)

  • Choi, Jung Hyun;Lim, Ye Eun;Park, Jong Hoon;Jeong, Hyeon Soo;Byun, Seung Jae;Sagong, Ui Hun;Park, Jeong Hyun;Kim, Chang Hyun;Lee, Jae Chan;Kim, Do Hyeong;Hwang, Myun Joong
    • The Journal of Korea Robotics Society
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    • v.17 no.2
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    • pp.198-208
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    • 2022
  • In this paper, an autonomous driving system is implemented for the Segye AI Robot Race Competition that multiple vehicles drive simultaneously. By utilizing the ERP42-racing platform, RTK-GPS, and LiDAR sensors provided in the competition, we propose an autonomous driving system that can drive safely and quickly in a road environment with multiple vehicles. This system consists of a recognition, judgement, and control parts. In the recognition stage, vehicle localization and obstacle detection through waypoint-based LiDAR ROI were performed. In the judgement stage, target velocity setting and obstacle avoidance judgement are determined in consideration of the straight/curved section and the distance between the vehicle and the neighboring vehicle. In the control stage, adaptive cruise longitudinal velocity control based on safe distance and lateral velocity control based on pure-pursuit are performed. To overcome the limited experimental environment, simulation and partial actual experiments were conducted together to develop and verify the proposed algorithms. After that, we participated in the Segye AI Robot Race Competition and performed autonomous driving racing with verified algorithms.

A Fusion Algorithm of Pure Pursuit and Velocity Planning to Improve the Path Following Performance of Differential Driven Robots in Unstructured Environments (차동 구동형 로봇의 비정형 환경 주행 경로 추종 성능 향상을 위한 Pure pursuit와 속도 계획의 융합 알고리즘)

  • Bongsang Kim;Kyuho Lee;Seungbeom Baek;Seonghee Lee;Heechang Moon
    • The Journal of Korea Robotics Society
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    • v.18 no.3
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    • pp.251-259
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    • 2023
  • In the path traveling of differential-drive robots, the steering controller plays an important role in determining the path-following performance. When a robot with a pure-pursuit algorithm is used to continuously drive a right-angled driving path in an unstructured environment without turning in place, the robot cannot accurately follow the right-angled path and stops driving due to the ground and motor load caused by turning. In the case of pure-pursuit, only the current robot position and the steering angle to the current target path point are generated, and the steering component does not reflect the speed plan, which requires improvement for precise path following. In this study, we propose a driving algorithm for differentially driven robots that enables precise path following by planning the driving speed using the radius of curvature and fusing the planned speed with the steering angle of the existing pure-pursuit controller, similar to the Model Predict Control control that reflects speed planning. When speed planning is applied, the robot slows down before entering a right-angle path and returns to the input speed when leaving the right-angle path. The pure-pursuit controller then fuses the steering angle calculated at each path point with the accelerated and decelerated velocity to achieve more precise following of the orthogonal path.

Application of Intelligent Wearable Computing (지능형 웨어러블 컴퓨팅의 응용)

  • Kim, Seong-Joo;Jung, Sung-Ho;Jeon, Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.3
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    • pp.304-309
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    • 2004
  • This work proposes the wearable and intelligent system to control mobile vehicle instead of user. The system having the ability of assistance as well as portable can be applied to various controller. It is possible to observe the state of mobile vehicle and have a good command of robot instead of human. In this paper, the wearable system operating the mobile vehicle by deciding the velocity and rotation angle that are demanded for collision avoidance with the obtained driving information from mobile vehicle is implemented. To make the proposed wearable system have an intelligence, the hierarchical fuzzy logic and neural network are used.

Remote Control of Movable Robot Arm using Gyro Sensor and Flex Sensor (자이로센서와 플렉스 센서를 이용한 이동형 로봇팔 원격 제어)

  • Jang, Jae-Seok;Kim, Min-Soo;Kim, Seong-Jin;Lee, Cheol-Keun;Park, Hyoung-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1205-1212
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    • 2021
  • Robots that can actually help people a lot by dealing with dangerous tasks that are difficult for people to do, such as disaster situations, lifesaving, handling dangerous goods, and reconnaissance of dangerous areas, continue to become an issue. Therefore, in this paper, we intend to implement a mobile robot arm that can implement a human motion will on the robot arm to enable active response according to the situation and control the vehicle according to hand movements to give mobility. A controller is manufactured using a flex sensor and agyro sensor, and the roll and pitch values of the two gyro sensors are adjusted to control the angle of the robot arm and specify the vehicle direction. In addition, by designating the levels of the three flex sensors, the motor is operated according to hand movements, and a robot arm is implemented so that objects can be picked up and moved.

Starfish Capture Robotic Platform: Conceptual Design and Analysis (불가사리 채집 로봇 플랫폼의 개념설계 및 분석)

  • Jin, Sang-Rok;Lee, Suk-Woo;Kim, Jong-Won;Seo, Tae-Won
    • Journal of the Korean Society for Precision Engineering
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    • v.29 no.9
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    • pp.978-985
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    • 2012
  • Starfish are a critical problem for fishermen since they eat every farming product including shellfish. The number of starfish is increasing dramatically because they have no natural enemy underwater. We consider the concept of capturing starfish using a semi-autonomous robot. A new underwater robot design to capture starfish is proposed using cooperation between humans and the robot. A requirements list for the robot is developed and two conceptual designs are proposed. Each robot is designed as a modular platform. The kinematic and dynamic performance of each robot is analyzed and compared. This study is a starting point for developing a starfish capture robot and designing underwater robots for other applications. In the near future, a prototype will be assembled and tested in a marine environment.

Force Sensor Based Locomotion of a Quadruped Walking Vehicle over Uneven Terrain (힘 센서를 이용한 4각 보행로보트의 비평탄로 보행에 관한 연구)

  • Lee, Seung-Ha;Bien, Zeung-Nam;Suh, Il-Hong;Lee, Ji-Hong
    • Proceedings of the KIEE Conference
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    • 1990.07a
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    • pp.467-470
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    • 1990
  • This thesis presents a simple heuristic algorithm which can be applied. to a quadruped wafting vehicle for increasing the terrain adaptability. The proposed method controls a leg length which is in tranfer phase to maintain initial orientation of the robot body by using FSR type force sensors attached to foot-tips. Also, some basic experiments using the vehicle are performed to demonstrate the effectiveness of the algorithm.

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A Study on Optimization of Board Molding Process with GMPU Technology (GMPU 공법을 이용한 보드 성형 공정 최적화 연구)

  • Choi, Dong-Jo;Park, Hong-Seok
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.3
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    • pp.81-87
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    • 2009
  • Lightweight board has been used for manufacturing various fields of automotive interior trims for years. The GMPU board was constructed with glass fiber mat, honeycomb and polyurethane foamed using polyol and isocyanate materials which were sprayed by robot that is interlocked foaming machine. For more lightweight and cost reduction this paper shows how to optimize GMPU process parameters that related to foaming condition, robot position and robot velocity for polyurethane weight. The results show that flexural strength and modulus of board's specimens were evaluated by robot velocity and moving pattern. Based on that, a innovative process was developed for more lightweight and cost reduction.

BLDC Motors for Robot Vacuum Cleaners (로봇청소기용 BLDC 모터)

  • Kim, Hyun-Jung
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.60 no.4
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    • pp.172-174
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    • 2011
  • This paper is presented for robot vacuum cleaners using BLDC motors. Recently, BLDC motors which require smaller size, lower sound noise and higher efficiency have been placed in high value-added products including robot vacuum cleaners, vehicle cars and other industry applications. The DC motors have higher sound noise, higher height of the size and lower efficiency due to electro-magnetic structure using the brushes and the commutators. The proposed BLDC motors are appropriate for the motors adequate in regards to higher efficiency, longer life cycle time, and smaller height of the size when robot vacuum cleaners go to some lower height of the space like under sleeping beds and because it's power source is batteries. The paper shows the performance of the BLDC motors designed by the Finite Element Analysis(FEA) of the electro-magnetic field. This paper shows the mechanical structure and the prototype of the motor with the impeller. The performance characteristics of the BLDC motors with the hall sensor controller are verified by the experimental results.

Development of a Omni-directional Self-Balancing Robot Wheelchair (전방향 셀프-밸런싱 로봇휠체어 개발)

  • Yu, Jaerim;Park, Yunsu;Kim, Sangtae;Kwon, SangJoo
    • The Journal of Korea Robotics Society
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    • v.8 no.4
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    • pp.229-237
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    • 2013
  • In this paper, we report a self-balancing robot wheelchair which has the capability of keeping upright posture regardless of the terrain inclination in terms of the three dimensional balancing motion. It has the mobility of five degrees of freedom, where pitching, yawing, and forward motions are generated by the two-wheeled inverted pendulum mechanism and the rolling and vertical motions are implemented by the movement of the tilting mechanism. Several design considerations are suggested for the sliding type vehicle body, wheel actuator module, tilting actuator module, power and control system, and the riding module.

Optimal path planing of Indoor Automatic Robot using Dynamic Programming (동적계획법을 이용한 실내 자율이동 로봇의 최적 경로 계획)

  • Ko, Su-Hong;Gim, Seong-Chan;Choi, Jong-Young;Kim, Jong-Man;Kim, Hyong-Suk
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.551-553
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    • 2006
  • An autonomous navigation technology for the mobile robot is investigated in this paper. The proposed robot path planning algorithm employs the dynamic programming to find the optimal path. The algorithm finds the global optimal path through the local computation on the environmental map. Since the robot computes the new path at every point, it can avoid the obstacle successfully during the navigation. The experimental results of the robot navigation are included in this paper.

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