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Anti-falling tree climbing mechanism optimization

Pengfei Gui, Liqiong Tang, Subhas Chandra Mukhopadhyay

Year
2017
Citations
8

Abstract

This paper presents an improved anti-falling tree climbing mechanism. A study and comparison was made on an original tree climbing robotic system published in reference. This optimized robotic system only relies on one stepper to achieve the anti-falling and anti-jamming functionality under either static or dynamic situations. This improved design feature reduces the total robot weight and enhances the control system robustness. Moreover, to achieve the robot spiral climbing morphology and decrease the servomotor rotational frictional forces, a special servomotor module and a bearing supporting mechanism are designed and implemented. The optimized mechanism design of the climbing robot is modelled in SolidWorks and the climbing process is simulated using SimMechanics. The simulation outcome of the initial and improved design shows that the new design has higher climbing speed and lighter weight. Physical prototype experiment matches with the simulation outcome and verifies the feasibility and effectiveness of this redesigned tree climbing mechanism.

Keywords

Falling (accident)Mechanism (biology)ClimbingComputer scienceTree (set theory)Hill climbingSimulationArtificial intelligenceEngineeringMathematics

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