Essays about: "autonomous robot control"
Showing result 1 - 5 of 67 essays containing the words autonomous robot control.
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1. Incorporation of GNSS system for underwater cleaning robot
University essay from KTH/ProduktionsutvecklingAbstract : Water reservoirs, such as swimming pools, are usually cleaned using underwater cleaners, also called pool robots. These robots usually use a randomized pattern to cover the bottom areas. For large and/or complex bottoms, a randomized cleaning pattern may be ineffective. READ MORE
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2. Optimal Gait Control of Soft Quadruped Robot by Model-based Reinforcement Learning
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Quadruped robots offer distinct advantages in navigating challenging terrains due to their flexible and shock-absorbing characteristics. This flexibility allows them to adapt to uneven surfaces, enhancing their maneuverability. READ MORE
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3. Autonomous Quadcopter Landing with Visual Platform Localization
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Multicopters such as quadcopters are a popular tool within industries such as mining, shipping and surveillance where a high level of autonomy can save time, increase efficiency and most importantly provide safety. While Unmanned Aerial Vehicles have been a big area in research and used in the mentioned industries, the level of autonomy is still low. READ MORE
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4. Multi-robot coordination and planning with human-in-the-loop under STL specifications : Centralized and distributed frameworks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent urbanization and industrialization have brought tremendous pressure and challenges to modern autonomous systems. When considering multiple complex tasks, cooperation and coordination between multiple agents can improve efficiency in a system. READ MORE
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5. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE