TY - GEN
T1 - Mono-Wheeled Flexible Track Capable of Climbing High Steps and Adapting to Rough Terrains
AU - Ozawa, Yu
AU - Watanabe, Masahiro
AU - Tadakuma, Kenjiro
AU - Takane, Eri
AU - Marafioti, Giancarlo
AU - Tadokoro, Satoshi
N1 - Funding Information:
ACKNOWLEDGMENT This work was done as a part of CURSOR project. The CURSOR project has received funding from the European Union’s HORIZON 2020 research and innovation programme under grant agreement No. 832790 and Strategic International Cooperative Research Program (SICORP) Grant Number 20-191029856 from the Japan Science and Technology Agency. The opinions expressed in this document reflect only the authors' view and reflects in no way the European Commission's opinions. The European Commission is not responsible for any use that may be made of the information it contains.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/4
Y1 - 2020/11/4
N2 - In regions prone to disasters, the instability of the ground and risk of collapse are the primary factors limiting rescue operations. For ensuring the safety and effectiveness of these operations, a remotely controlled search robot is desired. Accordingly, projects are being conducted for exploring rapid and comprehensive rescue response by deploying a mass of small searching robots from aerial drones. As the payload of drones is limited, the robots must be small and lightweight; however, mobile robots with high mobility on rough terrain typically possess complex structures and tend to be heavy. In this study, we propose a novel mobile mechanism with a simple structure and high mobility that is composed of an elastic track belt, which deforms to adapt to irregular obstacles and is driven by a single sprocket. The system was evaluated and compared with a general wheel robot on the basis of its performance in step-climbing tests. The ratio of the maximum height climbed by the proposed mechanism to its wheel diameter is 145%, and its maximum height is 2.9 times than that achieved by the conventional robot. Furthermore, the results are superior when compared to those of the conventional continuous-track-type mechanisms. Overall, our method can be applied to any miniaturized robot that is required to possess high mobility on rough terrains.
AB - In regions prone to disasters, the instability of the ground and risk of collapse are the primary factors limiting rescue operations. For ensuring the safety and effectiveness of these operations, a remotely controlled search robot is desired. Accordingly, projects are being conducted for exploring rapid and comprehensive rescue response by deploying a mass of small searching robots from aerial drones. As the payload of drones is limited, the robots must be small and lightweight; however, mobile robots with high mobility on rough terrain typically possess complex structures and tend to be heavy. In this study, we propose a novel mobile mechanism with a simple structure and high mobility that is composed of an elastic track belt, which deforms to adapt to irregular obstacles and is driven by a single sprocket. The system was evaluated and compared with a general wheel robot on the basis of its performance in step-climbing tests. The ratio of the maximum height climbed by the proposed mechanism to its wheel diameter is 145%, and its maximum height is 2.9 times than that achieved by the conventional robot. Furthermore, the results are superior when compared to those of the conventional continuous-track-type mechanisms. Overall, our method can be applied to any miniaturized robot that is required to possess high mobility on rough terrains.
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U2 - 10.1109/SSRR50563.2020.9292576
DO - 10.1109/SSRR50563.2020.9292576
M3 - Conference contribution
AN - SCOPUS:85099434184
T3 - 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2020
SP - 148
EP - 153
BT - 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2020
A2 - Marques, Lino
A2 - Khonji, Majid
A2 - Dias, Jorge
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2020
Y2 - 4 November 2020 through 6 November 2020
ER -