Study regarding the perspectives of Arges county agriculture through the farmers’ vision

This work aims to present a study regarding the perspectives of Arges agriculture through the farmer’s vision.This paper will disseminate only part of the information obtained by questionnaire. People who were interviewed are representatives of agricultural holdings with legal form and individual exploitations without legal form. The questionnaire aimed to identify the opinion of farmers according to legal form on the following issues: What kind of agriculture is consider necessary to be practiced in the county and the means for upgrading technology. A percentage of 66% considers that it is necessarily highly productive agriculture, of large farms that use fertilizers, herbicides, etc., and only 34% for the traditional organic farming. As a result, the survey revealed that the farmers who have farms with legal form considers that they can modernize their exploitation by mechanization (33%), using new varieties (28%) and using new crop technologies.The same opinions have the farmers from the individual agricultural sector, there were no significant differences between the farmers from the exploitation sector with legal form

Research on upper limb biomechanical system

Biomechanical systems for human upper limb have been studied and developed for more than 60 years, due to requirements of improving life quality for people who cannot partially, or totally, use their hand. This paper presents aspects related to preliminary research (kinematic model of thumb, 3D mechanic model, hard-software platform) of a bionic hand that will be done and is intended to be of high sensitivity, good accuracy, low weight, friendly user interface, with efficient command and control system

New Trends in Robots Engineering with Professional Software SolidWorks

Engineering robotic systems stand for a challenging complex process, closely related to product development phases. Society’s needs and requirements generate the idea for new robot products, which are sketched as an initial concept. This is the moment when the design phases start, engineers continue their work by evaluating and optimizing the mechanical parts according to many criteria: kinematics, dynamics, the strength of materials, NVH, thermal assessments, etc. Finally, there are established specifications for prototype execution, environment sustainability, end-user specifications, and recycling requirements. All these phases could be implemented into smart software. SolidWorks is such software enabling the creation of new mechanical designs automatically based on its programming tools. This chapter is focused on relevant advanced capabilities of SolidWorks software to assist engineers in achieving a new advanced level in mechanical design, that of automatically generating new or modifying existing concepts according to the requirements. By using professional software in research studies, new engineering procedures can be developed in order to automate the concept and design phases for many concurrent engineering methodologies, design optimization methods, manufacturing, documentation, or end-user specification. Case studies on the different types of robot systems used in healthcare and assisted living are presented

Improving anthropomorphic robot stability using advanced intelligent control interfaces

The article focused on the advanced intelligent control of the stability of anthropomorphic walking robots (AWRs), in order to validate a new and useful method of moving in the virtual environment, which determines a substantial increase in their stability. The obtained results lead to Versatile Intelligent Portable Robot Platform VIPRO, developed to improve the walking anthropomorphic robots’ performances, provide unlimited power for design, test, experiment the real time control methods by integrating the Intelligent Control Interfaces (ICIs) in robot modeling and simulation for all types of humanoid robots, rescue robots, firefighting robots

Distance Assessment by Object Detection—For Visually Impaired Assistive Mechatronic System

Techniques for the detection and recognition of objects have experienced continuous development over recent years, as their application and benefits are so very obvious. Whether they are involved in driving a car, environment surveillance and security, or assistive living for people with different disabilities, not to mention advanced robotic surgery, these techniques are almost indispensable. This article presents the research results of a distance assessment using object detection and recognition techniques. The first is a new technique based on low-cost photo cameras and special sign detection. The second is a classic approach based on a LIDAR sensor and an HQ photo camera. Its novelty, in this case, consists of the concept and prototype of the hardware subsystem for high-precision distance measurement, as well as fast and accurate object recognition. The experimentally obtained results are used for the motion control strategy (directional inverse kinematics) of the robotic arm (virtual prototype) component in special assistive devices designed for visually impaired persons. The advantages of the original technical solution, experimentally validated by a prototype system with modern equipment, are the precision and the short time required for the identification and recognition of objects at relatively short distances. The research results obtained, in both the real and virtual experiments, stand as a basis for the further development of the visually impaired mechatronic system prototype using additional ultrasonic sensors, stereoscopic or multiple cameras, and the implementation of machine-learning models for safety-critical tasks

Distance Assessment by Object Detection—For Visually Impaired Assistive Mechatronic System

Techniques for the detection and recognition of objects have experienced continuous development over recent years, as their application and benefits are so very obvious. Whether they are involved in driving a car, environment surveillance and security, or assistive living for people with different disabilities, not to mention advanced robotic surgery, these techniques are almost indispensable. This article presents the research results of a distance assessment using object detection and recognition techniques. The first is a new technique based on low-cost photo cameras and special sign detection. The second is a classic approach based on a LIDAR sensor and an HQ photo camera. Its novelty, in this case, consists of the concept and prototype of the hardware subsystem for high-precision distance measurement, as well as fast and accurate object recognition. The experimentally obtained results are used for the motion control strategy (directional inverse kinematics) of the robotic arm (virtual prototype) component in special assistive devices designed for visually impaired persons. The advantages of the original technical solution, experimentally validated by a prototype system with modern equipment, are the precision and the short time required for the identification and recognition of objects at relatively short distances. The research results obtained, in both the real and virtual experiments, stand as a basis for the further development of the visually impaired mechatronic system prototype using additional ultrasonic sensors, stereoscopic or multiple cameras, and the implementation of machine-learning models for safety-critical tasks

Advanced Control Subsystem for Mobile Robotic Systems in Precision Agriculture

Abstract: This concept paper presents Mobile Agricultural Robots (MARs) for the development of precision agriculture and implicitly the smart farms through knowledge, reason, technology, interaction, learning and validation. Finding new strategies and control algorithms for MARs has led to the design of an Autonomous Robotic Platform Weed Control (ARoPWeC). The paradigm of this concept is based on the integration of intelligent agricultural subsystems into mobile robotic platforms. For maintenance activities in case of hoeing crops (corn, potatoes, vegetables, vineyards), ARoPWeC benefits from the automatic guidance subsystem and spectral analysis subsystem for differentiation and classification of the weeds. The elimination of weeds and pests is done through the Drop-on-Demand spray subsystem with multi-objective control, and for increasing efficiency through the Deep Learning subsystem