TY - GEN
T1 - A Bio-Inspired Mapping Method for Cyborg Cockroaches Using Motion Pattern Recognition
AU - Chen, Yang
AU - Chang, Jinchen
AU - Li, Jingcheng
AU - Huang, Yuanchao
AU - Si, Yunhao
AU - Li, Yao
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - Cyborg cockroaches exhibit significant application potential in post-disaster search and rescue scenarios due to their exceptional environmental adaptability and miniaturized size. However, most existing navigation schemes for such cyborgs heavily rely on prior information of known environments or require high-power consumption visual sensors for environmental perception, which severely restricts their practical application in unknown and complex environments. To break free from these limitations, this paper constructs a wall-following state recognition model based on the intrinsic biological motion characteristics of cockroaches, and verifies the model's capability to effectively discriminate the wall-following state of cockroaches through experimental data. On this basis, a Wall-Following based Bio-inspired Mapping (WFBIM) method for unknown environment exploration is proposed. Without the need for visual sensors or environmental prior information, this method can efficiently and accurately complete the exploration and mapping task of unknown indoor environments.
AB - Cyborg cockroaches exhibit significant application potential in post-disaster search and rescue scenarios due to their exceptional environmental adaptability and miniaturized size. However, most existing navigation schemes for such cyborgs heavily rely on prior information of known environments or require high-power consumption visual sensors for environmental perception, which severely restricts their practical application in unknown and complex environments. To break free from these limitations, this paper constructs a wall-following state recognition model based on the intrinsic biological motion characteristics of cockroaches, and verifies the model's capability to effectively discriminate the wall-following state of cockroaches through experimental data. On this basis, a Wall-Following based Bio-inspired Mapping (WFBIM) method for unknown environment exploration is proposed. Without the need for visual sensors or environmental prior information, this method can efficiently and accurately complete the exploration and mapping task of unknown indoor environments.
KW - Cyborg Insect
KW - Unknown Environment Mapping
KW - Wall-Following Recognition Model
UR - https://www.scopus.com/pages/publications/105041891514
U2 - 10.1109/ICMTIM69588.2026.11525469
DO - 10.1109/ICMTIM69588.2026.11525469
M3 - 会议稿件
AN - SCOPUS:105041891514
T3 - 2026 7th International Conference on Mechatronics Technology and Intelligent Manufacturing, ICMTIM 2026
SP - 169
EP - 173
BT - 2026 7th International Conference on Mechatronics Technology and Intelligent Manufacturing, ICMTIM 2026
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Mechatronics Technology and Intelligent Manufacturing, ICMTIM 2026
Y2 - 17 April 2026 through 19 April 2026
ER -