Starfish Inspired Milli Soft Robot With Omnidirectional Adaptive Locomotion Ability

2021 ◽  
Vol 6 (2) ◽  
pp. 3325-3332
Author(s):  
Xiong Yang ◽  
Rong Tan ◽  
Haojian Lu ◽  
Yajing Shen
Robotica ◽  
2021 ◽  
pp. 1-31
Author(s):  
Andrew Spielberg ◽  
Tao Du ◽  
Yuanming Hu ◽  
Daniela Rus ◽  
Wojciech Matusik

Abstract We present extensions to ChainQueen, an open source, fully differentiable material point method simulator for soft robotics. Previous work established ChainQueen as a powerful tool for inference, control, and co-design for soft robotics. We detail enhancements to ChainQueen, allowing for more efficient simulation and optimization and expressive co-optimization over material properties and geometric parameters. We package our simulator extensions in an easy-to-use, modular application programming interface (API) with predefined observation models, controllers, actuators, optimizers, and geometric processing tools, making it simple to prototype complex experiments in 50 lines or fewer. We demonstrate the power of our simulator extensions in over nine simulated experiments.


Nature ◽  
2021 ◽  
Vol 591 (7848) ◽  
pp. 66-71
Author(s):  
Guorui Li ◽  
Xiangping Chen ◽  
Fanghao Zhou ◽  
Yiming Liang ◽  
Youhua Xiao ◽  
...  

Author(s):  
Mingxia Liu ◽  
Shu Zhu ◽  
Yanjia Huang ◽  
Zihui Lin ◽  
Weiping Liu ◽  
...  

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 732-737
Author(s):  
Zhiping Wang ◽  
Yicha Zhang ◽  
Gaofeng Li ◽  
Guoqing Jin ◽  
Alain Bernard

Author(s):  
T.V. Truong ◽  
R.C. Mysa ◽  
T. Stalin ◽  
P.M. Aby Raj ◽  
P. Valdivia y Alvarado
Keyword(s):  

Author(s):  
Zach J. Patterson ◽  
Andrew P. Sabelhaus ◽  
Keene Chin ◽  
Tess Hellebrekers ◽  
Carmel Majidi
Keyword(s):  

Author(s):  
Yue Zhao ◽  
Feng Gao ◽  
Qiao Sun ◽  
Yunpeng Yin

AbstractLegged robots have potential advantages in mobility compared with wheeled robots in outdoor environments. The knowledge of various ground properties and adaptive locomotion based on different surface materials plays an important role in improving the stability of legged robots. A terrain classification and adaptive locomotion method for a hexapod robot named Qingzhui is proposed in this paper. First, a force-based terrain classification method is suggested. Ground contact force is calculated by collecting joint torques and inertial measurement unit information. Ground substrates are classified with the feature vector extracted from the collected data using the support vector machine algorithm. Then, an adaptive locomotion on different ground properties is proposed. The dynamic alternating tripod trotting gait is developed to control the robot, and the parameters of active compliance control change with the terrain. Finally, the method is integrated on a hexapod robot and tested by real experiments. Our method is shown effective for the hexapod robot to walk on concrete, wood, grass, and foam. The strategies and experimental results can be a valuable reference for other legged robots applied in outdoor environments.


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