Review of Research in the Area of Agriculture Mobile Robots

Hajjaj, Sami Salama Hussen; Sahari, Khairul Salleh Mohamed

doi:10.1007/978-981-4585-42-2_13

Cited by 23 publications

(13 citation statements)

References 43 publications

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“…Mobile robot with trailers is also considered an important experimental prototype which has a wide range application in the road freight transportation, airport luggage carriers, agriculture mobile robots, etc [12]. From this prospective of industry application, path following and trajectory tracking problems have raised a lot of research work.…”

Section: Introductionmentioning

confidence: 99%

Orientation tracking control of mobile robot with three trailers

Cheng

Zhang

Wang

2015

2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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The orientation tracking control problem of a mobile robot with three on-axle trailers in backward motion is addressed in this paper. Due to the fact that the trailer system is not open-loop stable, it is a challenging work even for experienced drivers to reverse the robot stably. The control law is designed based on a reformed cascade and interconnected system. By introducing the input-to-state stability, the proposed control law is proven to be asymptotically stable. Numerical simulation results shows that the proposed control law can successfully reverse the robot stably to track the desired orientation angle with asymptotic convergence.

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Section: Introductionmentioning

confidence: 99%

Orientation tracking control of mobile robot with three trailers

Cheng

Zhang

Wang

2015

2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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“…The recent spread of technological advancements have led mobile robots into the increasingly influential role throughout business segments facing cutting-edge innovation, rising costs and deficit in labor, such us autonomous vehicles, agriculture, forestry, manufacturing, exploration and transportation [1], [2]. In line of the above, since the pure pursuit strategy proposed by Wallace et al in the mid 80's [3], the trajectory tracking problem has attracted the attention of the robotics community and has motivated the development of high-order and versatile motion planning and control algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…where H is used(1) to define the number of measurements used by the performance metrics outlined by Eq.(18)-Eq. (22), and (2) to quantify the number of control iterations.…”

mentioning

confidence: 99%

Trajectory Tracking of Wheeled Mobile Robots Using Z-Number Based Fuzzy Logic

et al. 2020

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Being trajectory tracking key for safe mobile robot navigation, Fuzzy Logic (FL) has been useful in tackling uncertainty and imprecision to realize robust and smooth trajectory tracking. In this paper, we present the Z-number based Fuzzy Logic control for trajectory tracking of differential wheeled mobile robots. The unique point of our approach lies in the ability to encode constraint and reliability in multi-input and multi-output rules, whose antecedent universe considers only the instantaneous measurements of distance and the orientation gaps, and whose consequent universe is computed by the interpolative reasoning and the graded mean integration approach. As a consequence, not only our approach avoids the complexity of encoding error gradients, but also is advantageous to model versatile control rules able to cope with missing observations and noisy inducements on actuators. Our experiments using both physics-based simulations and real-world tests based on a Pioneer 3DX robot architecture have elucidated the superior efficacy and the feasibility of the proposed controller regarding accuracy, robustness, and smoothness compared to other well-known related frameworks such as Fuzzy Logic Type 1, Fuzzy Logic Type 2 and Fuzzy Logic with PID. Our results provide unique insights to realize generalizable algorithms aided by FL and Z-number towards robust trajectory tracking.

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“…In order to cope up with the demand of food ingredients and enhance the economic returns, it is necessary to adopt autonomous/semiautonomous systems which can help and assist humans to have more productivity. There have been many success stories around the globe where robots are used to pick citrus fruits in United States, harvest tomatoes and pick up strawberries in China, picking dates from palm tree in Kingdom of Saudi Arabia, sowing rice by robots in Japan and irrigating crops autonomously in many parts of the world [3]. Apart from it, drones are being used for aerial monitoring of crops growth and looking for pests.…”

Section: Introductionmentioning

confidence: 99%

Hardware Software Co-Design of a Farming Robot

Phanomchoeng¹,

Saadi²,

Sasithong³

et al. 2020

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Food means life and no one can think about living without food. This is the most fundamental human necessity and food security is one of the major global concern of this century. With the revolution and recent advancements in the field of electronics and communication, there has been a paradigm shift from conventional farming ways to the modern one. This paper talks about the development of hardware software co-design of agricultural farming robot. Our developed farming robot has two parts namely hardware part which further consists of mechanical, electrical, control and tools segments and the software part which allows user to interact with the farming robot via cloud service. Our proposed hardware architecture is compatible with commercial Farmbot product and the developed web-based software can be extended for more features and applications. Furthermore, the developed robot has been tested and it works well.

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Review of Research in the Area of Agriculture Mobile Robots

Cited by 23 publications

References 43 publications

Orientation tracking control of mobile robot with three trailers

Orientation tracking control of mobile robot with three trailers

Trajectory Tracking of Wheeled Mobile Robots Using Z-Number Based Fuzzy Logic

Hardware Software Co-Design of a Farming Robot

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