3D Shape Control of Extensible Multi-Section Soft Continuum Robots via Visual Servoing
Abhinav Gandhi, Shou-Shan Chiang, Cagdas D. Onal, Berk Calli

TL;DR
This paper introduces a vision-based control method for soft continuum robots that regulates their entire shape using external camera images, achieving precise, stable, and shape-specific manipulation without proprioceptive sensors.
Contribution
It presents a novel shape control algorithm that leverages visual servoing for whole-body regulation of extensible multisection soft robots, avoiding local minima and eliminating the need for proprioceptive data.
Findings
Achieved steady-state error within 1 mm in shape regulation
Demonstrated successful object manipulation tasks like stacking and pouring
Validated stable and smooth shape control in experiments
Abstract
In this paper, we propose a novel vision-based control algorithm for regulating the whole body shape of extensible multisection soft continuum manipulators. Contrary to existing vision-based control algorithms in the literature that regulate the robot's end effector pose, our proposed control algorithm regulates the robot's whole body configuration, enabling us to leverage its kinematic redundancy. Additionally, our model-based 2.5D shape visual servoing provides globally stable asymptotic convergence in the robot's 3D workspace compared to the closest works in the literature that report local minima. Unlike existing visual servoing algorithms in the literature, our approach does not require information from proprioceptive sensors, making it suitable for continuum manipulators without such capabilities. Instead, robot state is estimated from images acquired by an external camera that…
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Taxonomy
TopicsSoft Robotics and Applications · Piezoelectric Actuators and Control · Robotic Mechanisms and Dynamics
