Date of Award:
Master of Science (MS)
There is growing interest in developing autonomous systems capable of exhibiting collaborative behaviors. Using methods such as reinforcement learning is another way to train multiple robots for collaborative task completion. This study was able to successfully in simulation train multiple hexapod robots to push a target to a designated goal collaboratively. This required each robot to learn how find the target and push that target to a goal. This work suggests that using reinforcement learning for collaborative task completion for hexapod robots may simplify the complexity of the software and improve the decisions that they make.
Baker, Tayler Don, "Collaborative Task Completion for Simulated Hexapod Robots Using Reinforcement Learning" (2023). All Graduate Theses and Dissertations, Fall 2023 to Present. 40.
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