Salient Behavior Extraction in Construction Machinery Operation Using Motion Propagation Forces
Ryo Sumiyama, Takashi Kusaka, Hironori Gunji, Yuichi Kurita, Fumiya Sakamoto, Masaru Ito, Yusuke Kamimura, Takayuki Tanaka
Abstract
This study proposes a vibration-feedback method to enhance kinesthetic perception while reducing lumbar load during the teleoperation of construction machinery. The an- gular acceleration of the operator’s seat is dynamically esti- mated from joint torques, and salient vibration components are extracted from their decomposed terms. Using the partial Lagrangian method and the concept of motion-propagation force, we isolate the torque component at the base joint induced by the motion of a specific link and analyze its contribution to seat angular acceleration via wavelet transforms. Excavation experiments demonstrate that the extracted component sig- nificantly influences seat angular acceleration, suggesting that selective vibration feedback can preserve operational feel while alleviating operator workload.