Related Experiment Video
Updated: Dec 26, 2025

07:40
Manufacturing, Control, and Performance Evaluation of a Gecko-Inspired Soft Robot
Published on: June 10, 2020
15.1K
Design and Development of a Growing Pneumatic Soft Robot
Seref Kemal Talas1, Bora Alp Baydere1, Timur Altinsoy1
1Department of Mechanical Engineering, Bogazici University, Istanbul, Turkey.
Soft Robotics
|March 10, 2020
Summary
This study introduces a novel growing pneumatic soft robot capable of 3D movement and size change. This innovative robot offers enhanced locomotion for applications in surgery and rescue operations.
Area of Science:
- Robotics
- Soft Robotics
- Mechanical Engineering
Background:
- Soft continuum robots offer compliance and flexibility for applications like minimally invasive surgery and search and rescue.
- A key limitation of current soft continuum robots is their inability to significantly change size and length.
- Robotic locomotion through growth presents a novel approach to overcome size limitations.
Purpose of the Study:
- To introduce a novel growing pneumatic soft robot with enhanced locomotion capabilities.
- To develop and validate models for estimating the robot's tip force and position.
- To demonstrate the robot's navigation and operational capabilities in various environments.
Main Methods:
- Design and fabrication of a growing pneumatic soft robot using pressurized thin-walled tubings.
- Development of kinematic and force models to predict robot behavior.
- Experimental verification of the force model and robot kinematics, including speed and position control.
- Testing of the robot's navigation in open field and constrained environments.
Main Results:
- The robot demonstrates 3D movement with an extension ratio limited only by manufacturing.
- An open-loop speed controller achieved a root mean square error of 2.69% for speeds between 20-300 mm/s.
- The position controller exhibited a mean error of 13.9 mm at 100 mm and 22.6 mm at 200 mm longitudinal distance.
- The robot can generate a tip force of 20.1 N at 150 kPa and reach a maximum speed of 1490 mm/s at 100 kPa.
Conclusions:
- The developed growing pneumatic soft robot overcomes the size limitations of conventional continuum robots.
- The robot offers active steering, controllable stiffness, and a tool channel for versatile applications.
- Experimental validation confirms the accuracy of the developed models and the robot's effective navigation capabilities.
Related Concept Videos
Mechanical Systems
514
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
514
PD Controller: Design
547
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
547
PI Controller: Design
1.1K
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
1.1K

