Reinforcement learning based motion planning of quadrotors using motion primitives

• المؤلف الرئيسي: Efe Camci
• مؤلفون آخرون: Chen I-Ming
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2020
• الموضوعات: Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/137183
• المؤسسة: Nanyang Technological University

Motion planning of robots in real world is challenging due to the uncertainty in environments and robot models, the computation and sensing limitations on hardware, and the complexity of the tasks to be performed during operations. Motivated by these problems, the main contribution of this thesis is...