Reinforcement learning based motion planning of quadrotors using motion primitives

• Main Author: Efe Camci
• Other Authors: Chen I-Ming
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/137183
• Institution: 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...