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A Path Planning Framework For Multi-Agent Robotic Systems Based On Multivariate Skew-Normal Distributions, Peter Estephan Jan 2023

A Path Planning Framework For Multi-Agent Robotic Systems Based On Multivariate Skew-Normal Distributions, Peter Estephan

Theses, Dissertations and Capstones

This thesis presents a path planning framework for a very-large-scale robotic (VLSR) system in an known obstacle environment, where the time-varying distributions of agents are applied to represent the multi-agent robotic system (MARS). A novel family of the multivariate skew-normal (MVSN) distributions is proposed based on the Bernoulli random field (BRF) referred to as the Bernoulli-random-field based skew-normal (BRF-SN) distribution. The proposed distributions are applied to model the agents’ distributions in an obstacle-deployed environment, where the obstacle effect is represented by a skew function and separated from the no-obstacle agents’ distributions. First, the obstacle layout is represented by a Hilbert …


Design And Simulation Of A Pneumatic Actuator Bending Soft Robotics Based On 3d Printing, Chenyu Zheng Jan 2018

Design And Simulation Of A Pneumatic Actuator Bending Soft Robotics Based On 3d Printing, Chenyu Zheng

Theses, Dissertations and Capstones

Robots mechatronic devices are able to replicate human actions, especially in dangerous environments and in manufacturing. Recently, the development of robotics has been inspired by bionics. The advanced robotics allow advanced robots to be used in new environments where they were not traditionally applicable, such as narrow and small spaces. Compared to traditional rigid robots, soft robots are made by deformable materials and possess high dexterity and adaptivity in harsh working environments. Traditional soft robots are made by casting. The method implies that the molds of soft robots should be designed and printed by a 3D printer first, before casting. …