Sökning: "dynamic obstacles"

Visar resultat 1 - 5 av 61 avhandlingar innehållade orden dynamic obstacles.

1. 1. Pluripotent Dynamic Capabilities in the Internationalization of Firms : Focus on Learning, Innovating and Networking in SMEs from Sweden

   Författare :Mohammad Reza Saeedi; Hossein Dadfar; Staffan Brege; Desirée Holm; Linköpings universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Internationalization of SMEs; Firm-specific advantages; Dynamic capabilities; Absorptive capacity; Networking capability; Innovative capability; and PLS-SEM;

   Sammanfattning : Internationalization of small and medium-sized enterprises (SMEs) has been a considerable concern for international business (IB) scholars. Particularly, for those economies such as Sweden with small local markets, internationalization of SMEs could be fundamental. LÄS MER

3. 2. Repeated Path Planning for Mobile Robots in Dynamic Environments

   Författare :Maarja Kruusmaa; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; decision-making; mobile robot; case-based reasoning; navigation; dynamic environments; path planning;

   Sammanfattning : This thesis presents a global navigation strategy for repeated traverse of mobile robots in dynamic environments. The research is motivated by the fact that most real-world applications of mobile robotics imply repeated traverse between predefined target points in large, uncertain real-world domains. LÄS MER

4. 3. On the utilization of Nonlinear MPC for Unmanned Aerial Vehicle Path Planning

   Författare :Björn Lindqvist; George Nikolakopoulos; Dimos Dimarogonas; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Unmanned Aerial Vehicles; Obstacle Avoidance; Collision Avoidance; Nonlinear MPC; Model Predictive Control; Multi-agent Systems; Dynamic Obstacles; Robotics and Artificial Intelligence; Robotik och artificiell intelligens;

   Sammanfattning : This compilation thesis presents an overarching framework on the utilization of nonlinear model predictive control(NMPC) for various applications in the context of Unmanned Aerial Vehicle (UAV) path planning and collision avoidance. Fast and novel optimization algorithms allow for NMPC formulations with high runtime requirement, as those posed by controlling UAVs, to also have sufficiently large prediction horizons as to in an efficient manner integrate collision avoidance in the form of set-exclusion constraints that constrain the available position-space of the robot. LÄS MER

5. 4. Context-aware Human Motion Prediction for Robots in Complex Dynamic Environments

   Författare :Andrey Rudenko; Kai Arras; Achim Lilienthal; Thierry Fraichard; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; robotics; human motion prediction; activity forecasting;

   Sammanfattning : Understanding human behavior is a key skill for intelligent systems that share physical and emotional spaces with humans. One of the main challenges to this end is the ability of such systems to make accurate predictions of human motion. LÄS MER

7. 5. Risk Aware Path Planning and Dynamic Obstacle Avoidance towards Enabling Safe Robotic Missions

   Författare :Samuel Karlsson; George Nikolakopoulos; Georgia Chalvatzaki; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Robotic; Path planning; Obstacle avoidanc; Robotic missions; licenti thesis; Robotics and Artificial Intelligence; Robotik och artificiell intelligens;

   Sammanfattning : This compilation thesis presents two main contributions in path planning and obstacle avoidance, as well as an integration of the proposed modules with other frameworks to enable resilient robotic missions in complex environments.In general, through different types of robotic missions it is important to have a collision tolerant and reliable system, both regarding potential risks from collisions with dynamic and static obstacles, but also to secure the overall mission success. LÄS MER