Development of a small cutting mechanism for an artificial pruning robot utilizing a branch recognition system

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  • 枝認識システムを有する枝打ロボットのための小型な切断機構の開発
  • エダ ニンシキ システム オ ユウスル エダウチ ロボット ノ タメノ コガタナ セツダン キコウ ノ カイハツ

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We developed a pruning robot that detects individual branches and prunes them after confirming their position. In this research, we considered a small type of cutting machine that was developed to lessen damage to timber, and compared the cutting capability of three types of cutting machines: industrial-use router bits, endmills, and roughing endmills. All cutting machines were similar in shape and could be downsized. However, because of differences in the design of the cutting machines, we predicted that the resistance while cutting would be different. In order to design a more compact and lighter cutting mechanism, we examined the differences in resistance by conducting experiments. As a result, the endmills were able to cut with less resistance than the router bits. Furthermore, the roughing endmills had less vibration caused by the resistance. Based on these results, the roughing endmills were found to have the smallest resistance while cutting and the most potential to cut efficiently with limited power. Then, we developed a cutting mechanism for the roughing endmills and initiated a cutting experiment in a forest to check the feasibility of the mechanism.

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