Search results for " Rob"

Izmaiņas Quercus robur pieauguma dinamikā pēc atēnošanas mistraudzēs

2021

Maģistra darbs „Izmaiņas Quercus robur pieauguma dinamikā pēc atēnošanas mistraudzēs” izstrādāts Latvijas Universitātes Botānikas un ekoloģijas katedrā, laika posmā no 2019. gada novembra līdz 2021. gada maijam. Boreālo-nemorālo mežu pārejas zonā tiek praktizēta ozolu atēnošana, kas izpaužas kā selektīva citu koku sugu vai krūmu izciršana, kuras mērķis ir uzlabot gaismas apstākļus mistraudzēs, lai veicinātu ozolu ilgtspējīgu augšanu un atjaunošanos. Intensīva atēnošana var izmainīt audzē pastāvošo mikroklimatu, kas var ietekmēt koku jutību pret apkārtējiem vides un klimatiskajiem apstākļiem, dažādi ietekmējot koku tālāko augšanu. Darba mērķis ir noskaidrot, kā egļu izciršana mistraudzēs atē…

Paediatric solid oral dosage forms for combination products: Improving in vitro swallowability of minitablets using binary mixtures with pellets

2023

There is a growing interest in determining and improving the acceptability of solid oral dosage forms (SODF) in paediatric populations. Combination products can be an interesting solution to combine two active pharmaceutical ingredients. This study shows that binary mixture of paediatric SODF could enhance formulation swallowability and palatability. Using the Paediatric Soft Robotic Tongue (PSRT) – an in vitro device inspired by the anatomy and physiology of 2-year-old children – we investigated the oral phase of swallowing of multi-particulate formulations, i.e., pellets (350 and 700 µm particles), minitablets (MTs, 1.8 mm), and their binary mixtures (BM), by measuring the oral swallowing…

Do cilia drive water through the buccopharyngeal and opercular cavities in the fossorial Otophryne robusta tadpole?

1993

Distribution ofLeprariain Latvia in Relation to Tree Substratum and Deciduous Forest Type

2012

The aim of the study was to evaluate the distribution of Lepraria lichen species in dry deciduous forests, in relation to tree substratum and forest characteristics. In total, 34 localities with 1020 trees (13 tree species) were studied in different parts of Latvia. Lepraria spp. were found on 642 trees: L. eburnea on 8 trees, L. incana on 80 trees, and L. lobificans on 568 trees. Lepraria eburnea was recorded for the first time in Latvia. Tree species, tree bark crevice depth, inclination, pH and forest type were the most important variables explaining the presence of Lepraria species. Lepraria incana was associated with Quercus robur and Tilia cordata, while L. lobificans was associated w…

Breedbot: An Edutainment Robotics System to Link Digital and Real World

2007

The paper describes Breedbot an edutainment software and hardware system that could be used to evolve autonomous agents in digital (software) world and to transfer the evolved minds in physical agents (robots). The system is based on a wide variety of Artificial Life techniques (Artificial Neural Networks, Genetic Algorithms, User Guided Evolutionary Design and Evolutionary Robotics). An user without any computer programming skill can determine the robot behaviour. Breedbot was used as a didactic tool in teaching Evolutionary Biology and as a futuristic toy by several Science Centers. The digital side of Breedbot is downloadable from www.isl.unina.it/breedbot.

A Kinect-Based Gesture Acquisition and Reproduction System for Humanoid Robots

2020

The paper illustrates a system that endows an humanoid robot with the capability to mimic the motion of a human user in real time, serving as a basis for further gesture based human-robot interactions. The described approach uses the Microsoft Kinect as a low cost alternative to expensive motion capture devices.

A Comparative Analysis of Multiple Biasing Techniques for $Q_{biased}$ Softmax Regression Algorithm

2021

Over the past many years the popularity of robotic workers has seen a tremendous surge. Several tasks which were previously considered insurmountable are able to be performed by robots efficiently, with much ease. This is mainly due to the advances made in the field of control systems and artificial intelligence in recent years. Lately, we have seen Reinforcement Learning (RL) capture the spotlight, in the field of robotics. Instead of explicitly specifying the solution of a particular task, RL enables the robot (agent) to explore its environment and through trial and error choose the appropriate response. In this paper, a comparative analysis of biasing techniques for the Q-biased softmax …

Position Control of a Mobile Robot through PID Controller

2019

Abstract In this paper, the implementation and tuning steps of the PID controllers were proposed for the position control of a mobile robot with differential steering. The purpose of this robot was the participation in a European amateur robotics contest, the mobile robot being developed in the Engineering Faculty of Sibiu, Department of Industrial Machines and Equipment. After a brief introduction of the mobile entertainment robot, followed by description of the robot’s different components and traction principles, several principles of tuning the PID controller for the mobile robot are presented. The paper ends with some general conclusions based upon the results obtained from studying th…

D Sensor-Based Obstacle Detection Comparing Octrees and Point clouds Using CUDA

2012

This paper presents adaptable methods for achieving fast collision detection using the GPU and Nvidia CUDA together with Octrees. Earlier related work have focused on serial methods, while this paper presents a parallel solution which shows that there is a great increase in time if the number of operations is large. Two dierent models of the environment and the industrial robot are presented, the rst is Octrees at dierent resolutions, the second is a point cloud representation. The relative merits of the two dierent world model representations are shown. In particular, the experimental results show the potential of adapting the resolution of the robot and environment models to the task at h…

An adaptive probabilistic approach to goal-level imitation learning

2010

Imitation learning has been recognized as a promising technique to teach robots advanced skills. It is based on the idea that robots could learn new behaviors by observing and imitating the behaviors of other skilled actors. We propose an adaptive probabilistic graphical model which copes with three core issues of any imitative behavior: observation, representation and reproduction of skills. Our model, Growing Hierarchical Dynamic Bayesian Network (GHDBN), is hierarchical (i.e. able to characterize structured behaviors at different levels of abstraction), and growing (i.e. skills are learned or updated incrementally - and at each level of abstraction - every time a new observation sequence…