Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Aerial robotics"”.
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Modeling of a Small-Scale Remote Controllable Helicopter for Simulation and Control Development
… and autonomous systems research to include aerial vehicles. In the summer of 2004, members of the Autonomous Aerial Vehicle Team at Virginia Tech successfully competed in the Student UAV competition and the International Aerial Robotics Competition. The AAVT entered a fixed-wing vehicle in …
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Deep Reinforcement Learning for Multirotor Flight Control: A Comparative Study of Sim-to-Real Training and Real-World Performance
… low-level flight control of multirotor unmanned aerial vehicles (UAVs), focusing on factors that most influence sim-to-real policy transfer. Using the Proximal Policy Optimization (PPO) algorithm, extensive ablation studies evaluated the effects of domain randomization, reward weighting, …
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Ml Controllers With Memory For Robust Quadrotor Control And Research
… in neural and non-classical control methods for aerial robotics
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Biologically inspired attitude control of robotic systems using center of gravity reallocation
… bats in their landing maneuvers with a micro aerial vehicle (MAV) called Allice. Allice is capable of adjusting the position of its center of gravity (CG) with respect to the center of pressure (CP) using nonlinear closed-loop feedback. In the case of flying machines, CoM reallocation leads to …
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Optimizing the structure and movement of a robotic bat with biological kinematic synergies
In this thesis we present methods to optimize the design and flight characteristics of a biologically-inspired bat-like robot. Recent work has designed the topological structure for the wing kinematics of this robot; here we present methods to optimize the geometry of this structure, and to compute …
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Deep Learning-Based Exploration Path Planning
… exploration of subterranean environments using aerial robots are presented. One approach utilizes imitation learning, where training samples are generated by a sampling-based state of the art exploration path planner, to construct a model which proposes comparable trajectories to those of the …
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Communication on limited-mobility underwater sensor networks
<p>More than 70% of Earth's surface is covered by water. Earth's underwater world holds many exciting forms of life and undiscovered possibilities. It is sometimes referred to as "The Unexplored Frontier." We still do not fully understand the entirety of what happens in this mysterious world. The …