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Introduction: This article presents topics related to control and robot design like and also provides an excellent overview of the recent developments in the different areas of Robotics, Automation and Control. A Tree-Climbing Robot Platform: Robots were demonstrated to be the ideal option for many applications due to the fact that the working environment is difficult to access or even hazardous or risky for human beings, such as exposure to hazardous substances or environments and risk conditions. As in any other area, different applications or problems can be addressed or solved with the help of a robotics platform by performing the following tasks: • Gathering of Botanical Specimens : gathering flower and plant specimen is fundamental for biodiversity studies. This is an application where a robotics platform with tree climbing capability can be used to minimize risks for the researchers involved in this type of activity. • Gathering of vegetable material : collection of vegetable material is a fundamental activity for phytochemistry. • Gathering of Insect Specimens : usually, for collecting insects in higher levels, nets spread around the tree and a source of smoke below it are used. Modeling Virtual Reality Web Application: In fact, in recent years virtual reality is used in many areas: robotic, simulations, training, entertainment. Virtual Reality has reached a mainstream status, actually creating 3D application still requires much effort and only with proper, dedicated tools is it possible to produce convincing result in a timely manner. In this article we introduce Quest 3D, that is a perfect software package for creating interactive 3D scene including product presentation, architectural visualizations, virtual trainings and computer games. Quest 3D is a software for creating interactive 3D scene, in a unique style of programming. Instead of having to write thousands of lines of complex code, developers make use of a large set of a powerful building blocks. Working with Quest 3D means developing in a real-time: you are working directly on the end result. Quest 3D has a stunning set of graphics features. Large numbers of animated people, vegetation, shadows, fire and smoke effects and realistic water can all be easily added to a scene. Advanced features include physics simulation, path finding routines, database connectivity and networking support. Quest3D gives the possibility to manage the logic of scene: the behaviour of objects, their interactions. A New Load Adjustment Approach for Job-Shops: The proposed approach is based on the exploitation of the tasks scheduling time segments overlapping and on the distribution of the job’s margins between tasks in a just in time context. 1) First, we present a literature review concerning load adjustment approaches. 2) Second, we introduce the overlapping load adjustment approach. 3) Third, we present an original heuristic to use this approach in the case of job-shops organized firms. After that, we present the associated scheduling approach. Finally, we will discuss a more general use of this approach and the possible extensions. There are three main and classical load adjustment approaches. First of all, we have the placement. This approach consists in calculating a detailed tasks schedule. A new task is integrated in the planning if we find a hole in the planning which is bigger than the duration of this task. This approach estimates only one schedule which can be destroyed by any disturbance. The second approach is the periodic and cumulative approach. It consists in calculating the cumulative load and capacity for a latest loading and for each period. This approach does not guarantee the existence of a scheduling solution because it does not take into consideration the ready dates constraints. The third approach is the periodic and non- cumulative approach. It consists in assigning tasks to periods and comparing period by period the available and the required capacities. This method estimates only the solutions in which the tasks are fixed in a specific period. Efficient Data Collection with an Automated Robotic Helicopter Using Bayesian Adaptive Sampling : Traditional methods of data collection are often expensive and time consuming. We propose a novel data collection technique, called Bayesian Adaptive Sampling (BAS), which enables us to capture maximum information from minimal sample size. Bayesian Adaptive Sampling (BAS) is a methodology that allows a system to examine currently available data in order to determine new locations at which to take new readings. This procedure leads to the identification of locations where new observations are likely to yield the most information about a process, thus minimizing the required data that must be collected. Data may be collected by an autonomous helicopter with onboard instrumentation and computing capability, which after taking measurements, would then analyze currently available data and determine the next best informative location at which a measurement should be taken. We conclude by presenting experimental results that suggest our approach towards biomass estimation is more accurate and efficient as compared to random sampling. Author works for OMICS Publishing Group, which is built upon the principles of Open Access Journals and is determined to provide free and unrestricted access of research articles to scientists around the world for the advancement of science and technology.
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