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Mechanical Systems That Function Like Living Organisms, Dallas Rice
Mechanical Systems That Function Like Living Organisms, Dallas Rice
Kansas State University Undergraduate Research Conference
The purpose of this research was to explore the relationship between the human body and technologically advanced mechanical systems or robotics. More specifically, we looked at how robotics plays a part in prosthetics for other living organisms. During the research we looked at the anatomy of the human body, focusing on the nervous system, bone structure and movements, tissue and muscle relationships, and the neurological response of the brain. We also looked at how the human body reacts and responds to artificial limbs as a way to identify the best ways to introduce unnatural mechanical systems to the body. Different …
Dqn: Deep Q-Learning For Autonomous Navigation, Leonardo Garrido Alvarez
Dqn: Deep Q-Learning For Autonomous Navigation, Leonardo Garrido Alvarez
Kansas State University Undergraduate Research Conference
This project deals with autonomous mobile robots trained using reinforcement learning, a branch of machine learning (the science of improving problem-solving performance based on experience) based on choosing actions to maximize rewards from various environments. This is a form of behavioral learning that is observed in nature and thus more biologically plausible than cognitive models based on labeled data provided by a teacher (supervised learning). We developed an experimental test bed by implementing Deep Q-Networks (DQN), a form of reinforcement learning, for goal-oriented navigation and obstacle avoidance tasks using a TurtleBot3 Burger robot and in the gazebo simulation environment for …