The limitations of rigid form robots decrease the number of possible applications and situations for these robots as well as their capacity to seamlessly blend into everyday scenarios. We predict a solution to how we can increase the complexity of a robot’s operation environment while improving its compatibility with society is to remove the rigidity of traditional robots. Instead, we will allow a set of flexibility parameters, orientation (relative to the obstacle), angle of approach, and limb configuration to determine the result of our path planning algorithm.
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Mechanically Adaptable Path Planning for Unavoidable Obstacle Environments
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