지형-로봇간의 상호작용 분석 장치의 개발을 통한 야지 주행 로봇의 기동성 및 효율성 예측
Prediction of Maneuverability and Efficiency for a Mobile Robot on Rough Terrain through the development of a Testbed for Analysis of Robot-terrain interaction
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참고문헌
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초록
This paper focuses on development of a testbed for analysis of robot-terrain interaction on rough terrain and also, through one wheel driving experiments using this testbed, prediction of maximum velocity and acceleration of UGV. Firstly, from the review regarding previous researches for terrain modeling, the main variables for measurement are determined. A testbed is developed to measure main variables related to robot-terrain interaction. Experiments are performed on three kinds of rough terrains (grass, gravel, and sand) and traction-slip curves are obtained using the data of the drawbar pull and slip ratio. Traction-slip curves are used to predict driving performance of UGV on rough terrain. Maximum velocity and acceleration of UGVs are predicted by the simple kinematics and dynamics model of two kinds of 4-wheel mobile robots. And also, driving efficiency of UGVs is predicted to reduce energy consumption while traversing rough terrains.
Abstract
This paper focuses on development of a testbed for analysis of robot-terrain interaction on rough terrain and also, through one wheel driving experiments using this testbed, prediction of maximum velocity and acceleration of UGV. Firstly, from the review regarding previous researches for terrain modeling, the main variables for measurement are determined. A testbed is developed to measure main variables related to robot-terrain interaction. Experiments are performed on three kinds of rough terrains (grass, gravel, and sand) and traction-slip curves are obtained using the data of the drawbar pull and slip ratio. Traction-slip curves are used to predict driving performance of UGV on rough terrain. Maximum velocity and acceleration of UGVs are predicted by the simple kinematics and dynamics model of two kinds of 4-wheel mobile robots. And also, driving efficiency of UGVs is predicted to reduce energy consumption while traversing rough terrains.
참고문헌 (13)
- Iagnemma, K., "Mobile Robots in Rough Terrain: Estimation, Motion Planning and Control with Application to Planetary Rover", Springer tracts in advanced robotics, 12 (2004), Springer
- Genya Ishigami, "Terramechanics-Based Model for Steering Maneuver of Planetary Exploration Rovers on Loose Soil", Journal of Field Robotics, 24(3), pp.233~250 (2007)
- Wong J. Y, "Terramechanics and Off-road Vehicle Engineering : Terrain behavior, Off-road vehicle, Performance and Design" (2010), Elsevier
- Karafiath, L. K., "Soil Mechanics for Off Road Vehicle Engineering" (1979), Trans Tech Publications
- Liu, C.H., "Numerical simulations of tiresoil interaction based on critical state soil mechanics", Journal of Terramechanics, 33(5), pp.209~221
- Asaf, Z., "Predicting soilrigid wheel performance using discrete element method", Transactions of the ASABE, 3(49), pp.607~616 (2006)
- W. W. Brixius, "Traction prediction equations for bias ply tires", ASAE, No. 87-1622, ~ (1987)
- V.K. Tiwari, "A review on traction prediction equations", Journal of Terramechanics, 47, pp.191~199 (2010)
- Disturbance Measurements from Off- Road Vehicles on Seasonal Terrain, "Rosa T. Affleck", US Army Corps of Engineers, ~, pp.Technical Report ERDC (2005), CRREL TR-0512
- Z. Shiller, "Dynamic stability of off-road vehicle considering a longitudinal terramechanics model", ICRA, pp.1170~1175 (2007)
- Jayoung Kim, "Predicting Maximum Traction to Improve Maneuverability for Autonomous Mobile Robots on Rough Terrain", International Conference on Control, Robotics and Informatics (2012)
- 김자영, "실외 주행 로봇의 이동 성능 개선을 위한 지형 분류", 로봇학회 논문지, 5(4), pp.339~348 (2010), 한국로봇학회
- 박병곤, "접촉식 센서 데이터를 이용한 지질 특성 추출 및 지질 분류", 로봇학회 논문지, 7(3), pp.171~181 (2012), 한국로봇학회[DOI]
