Search for dissertations about: "Forestry Robotics"

Showing result 1 - 5 of 15 swedish dissertations containing the words Forestry Robotics.

2. 1. Semi-Automating Forestry Machines : Motion Planning, System Integration, and Human-Machine Interaction

   Author : Simon Westerberg; Anton S. Shiriaev; Klas Nilsson; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Forestry Robotics; Forest Machine Automation; Trajectory Planning; Hydraulic Manipulators; Teleoperation; Virtual Environments; Interaction Methods; Head Tracking;

   Abstract : The process of forest harvesting is highly mechanized in most industrialized countries, with felling and processing of trees performed by technologically advanced forestry machines. However, the maneuvering of the vehicles through the forest as well as the control of the on-board hydraulic boom crane is currently performed through continuous manual operation. READ MORE

4. 2. Towards semi-automation of forestry cranes : automated trajectory planning and active vibration damping

   Author : Szabolcs Fodor; Leonid Freidovich; Carlos Vázquez; Anton Shiriaev; Torben Ole Andersen; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Forestry; forwarder cranes; semi-automation; slewing actuator; automated trajectory planning; oscillations; inner boom actuator; active vibration damping; frequency estimation; input shaping control technique; H2-optimal control;

   Abstract : Forests represent one of the biggest terrestrial ecosystems of Earth, that can produce important raw renewable materials such as wood with the help of sun, air and water. To efficiently extract these raw materials, the tree harvesting process is highly mechanized in developed countries, meaning that advanced forestry machines are continuously used to fell, to process and to transport the logs and biomass obtained from the forests. READ MORE

5. 3. Terrain machine learning

   Author : Viktor Wiberg; Martin Servin; Tomas Nordfjell; Eddie Wadbro; Todor Stoyanov; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; multibody dynamics simulation; rough terrain vehicle; autonomous vehicles; robotics control; discrete element method; sim-to-real; reinforcement learning; fysik; Physics;

   Abstract : The use of heavy vehicles in rough terrain is vital in the industry but has negative implications for the climate and ecosystem. In addition, the demand for improved efficiency underscores the need to enhance these vehicles' navigation capabilities. READ MORE

6. 4. Virtual Holonomic Constraints: from academic to industrial applications

   Author : Daniel Ortiz Morales; Anton Shiriaev; Leonid Freidovich; Ivan Kalaykov; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Virtual Holonomic Constraints; modeling; control; motion planning; under-actuated systems; forestry cranes; hydraulic manipulators;

   Abstract : Whether it is a car, a mobile phone, or a computer, we are noticing how automation and production with robots plays an important role in the industry of our modern world. We find it in factories, manufacturing products, automotive cruise control, construction equipment, autopilot on airplanes, and countless other industrial applications. READ MORE

7. 5. Object Classification and Image Labeling using RGB-Depth Information

   Author : Mostafa Pordel; Thomas Hellström; Ulrik Söderström; Umeå universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Abstract : This thesis is part of research for the vision systems of four robots in the EU funded project, CROPS[l], where the robots should harvest apples, sweet peppers and grapes, and explore forests. The whole process of designing such a system, including the software architecture, creation of the image database, image labeling and object detection, is presented. READ MORE