scholarly journals Design and control of a heavy material handling manipulator for agricultural robots

2008 ◽  
Vol 25 (3) ◽  
pp. 189-204 ◽  
Author(s):  
Satoru Sakai ◽  
Michihisa Iida ◽  
Koichi Osuka ◽  
Mikio Umeda
2021 ◽  
pp. 447-456
Author(s):  
Beibei Sun

Agricultural mechanization has become the main mode of agricultural production and represents the development direction of modern agriculture. The amount of data generated in the agricultural production process is extremely huge, so it is necessary to introduce the concept and analysis method of big data. Combining agricultural robots with big data can improve the performance and application effect of robots. This paper combines big data, WLAN technology and robot technology to realize man-machine remote cooperation platform. This gives full play to the advantages that people are good at object recognition and robots are good at execution, and improves the fruit picking efficiency. The target fruit positioning and recognition system aided by machine vision is adopted to realize the accurate positioning of the fruit to be picked. Design of LFM control signal fitting based on big data clustering. In order to verify the feasibility of the scheme, taking the tomato picking robot as an example, the communication error and control accuracy using big data and WIFI (Wireless Fidelity) technology were tested, and the positioning and navigation efficiency with and without remote monitoring system was compared. Test results show that using big data and WIFI remote monitoring technology can effectively improve the efficiency and accuracy of positioning and navigation of remote operating system, which is of great significance for the design of automatic control system of picking robot.


Author(s):  
Anna M. Sene-Mir ◽  
Mariona Portell ◽  
M. Teresa Anguera ◽  
Salvador Chacón-Moscoso

This study aimed to assess the effect of systematic self-observation, hetero-observational feedback, and feedforward and intrinsic feedback (SsObserWork components) on workers’ knowledge and behaviour of a manual material handling (MMH) technique in the industrial sector. Blue-collar workers recruited from a food processing company in Catalonia (Spain) were randomized into SsObserWork (N = 31) and control (N = 30) groups. SsObserWork group members participated individually in two sessions and a three-week follow-up between sessions where they received the SsObserWork components. The control group participated individually in two sessions where they received a standard MMH training. An ad hoc instrumentcalled the MMH-SsObserWork instrument was used to assess the MMH behaviour, and an adaption of the instrument was done to assess the workers’ knowledge. Significant differences were found between groups for the identification of recommended back positions in the first session and also on comparing both sessions. However, no differences were found for the rest of the criteria. There also were significant differences between groups in the score changes of the back, knee joints, elbow joints, and interaction criterion, indicating that the SsObserWork group improved the MMH performance in these criteria (behaviour). SsObserWork intervention showed a positive effect on improving the knowledge and behaviour of the MMH technique, specifically on back posture.


2019 ◽  
Vol 11 (23) ◽  
pp. 6751 ◽  
Author(s):  
Girish Chowdhary ◽  
Mattia Gazzola ◽  
Girish Krishnan ◽  
Chinmay Soman ◽  
Sarah Lovell

The shortage of qualified human labor is a key challenge facing farmers, limiting profit margins and preventing the adoption of sustainable and diversified agroecosystems, such as agroforestry. New technologies in robotics could offer a solution to such limitations. Advances in soft arms and manipulators can enable agricultural robots that can have better reach and dexterity around plants than traditional robots equipped with hard industrial robotic arms. Soft robotic arms and manipulators can be far less expensive to manufacture and significantly lighter than their hard counterparts. Furthermore, they can be simpler to design and manufacture since they rely on fluidic pressurization as the primary mechanisms of operation. However, current soft robotic arms are difficult to design and control, slow to actuate, and have limited payloads. In this paper, we discuss the benefits and challenges of soft robotics technology and what it could mean for sustainable agriculture and agroforestry.


1991 ◽  
Vol 113 (3) ◽  
pp. 379-387 ◽  
Author(s):  
H. Kazerooni ◽  
S. L. Mahoney

This article describes the dynamics, control, and stability of extenders, robotic systems worn by humans for material handling tasks. Extenders are defined as robot manipulators which extend (i.e., increase) the strength of the human arm in load maneuvering tasks, while the human maintains control of the task. Part of the extender motion is caused by physical power from the human; the rest of the extender motion results from force signals measured at the physical interfaces between the human and the extender, and the load and the extender. Therefore, the human wearing the extender exchanges both power and information signals with the extender. The control technique described here lets the designer define an arbitrary relationship between the human force and the load force. A set of experiments on a two-dimensional non-direct-drive extender were done to verify the control theory.


This paper introduces the Design, Modeling and Simulation of a special tool that attaches a screw to attach the screw to a bimetal of MCB (Miniature Circuit Breaker). Problems found in the current process include complex shape and screw size and full connection operation is an intensive manual operation which makes handling difficult for the operator and also the size of the M2 screw and is headless with a cross section. In partnership with the SPM operator works as a tool to increase productivity by reducing operator fat. The system is a testament to automated material handling system, serial transfer, trap detection, attachment, automatic ejecting system, actuator system, sensors and control capabilities etc. Small screw handling and bike prospect are the major challenges in the special development of a purpose screw attachment system. System Modeling & Simulation analysis is done and the results are encouraging.


2018 ◽  
Vol 215 ◽  
pp. 01031
Author(s):  
Maksum Tanubrata ◽  
Ika Gunawan

Material inventory management is one part of the logistics system devoted to project implementation on material procurement as per the needs plan procurement management is a very important material function, since the material inventory for a construction project involves a considerable investment cost. In general, every construction project involves complex activities, which involves the sharing of activities and operations. Material acquisition activities require good planning and control considering the large percentage of material costs to the total cost of the project. So if less effective material handling will result in loss of time, cost and quality. then this should receive high attention from contractors for the smooth and performance to be achieved in the implementation of construction projects.


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