Variable Stiffness Improves Safety and Performance in Soft Robotics
Aydin, Mert, Sariyildiz, Emre, Tawk, Charbel Dalely, Mutlu, Rahim, Alici, Gursel
–arXiv.org Artificial Intelligence
This paper proposes a new variable stiffness soft gripper that enables high-performance grasping tasks in industrial applications. The design of the proposed monolithic soft gripper includes a middle bellow and two side bellows (i.e., fingers). The positions of the fingers are regulated by adjusting the negative pressure in the middle bellow actuator via an on-off controller. The stiffness of the soft gripper is modulated by controlling the positive pressure in the fingers through the use of a proportional air-pressure regulator. It is experimentally shown that the proposed soft gripper can modulate its stiffness by 125% within 250ms. It is also shown that the variable stiffness soft gripper can help improve the safety and performance of grasping tasks in industrial applications.
arXiv.org Artificial Intelligence
Feb-5-2023
- Country:
- Oceania > Australia
- New South Wales > Wollongong (0.05)
- North America > United States
- District of Columbia > Washington (0.04)
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- Chicago (0.04)
- Asia > Middle East
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- UAE > Dubai Emirate
- Dubai (0.04)
- Oceania > Australia
- Genre:
- Research Report (0.64)
- Technology:
- Information Technology > Artificial Intelligence > Robots > Manipulation (0.71)