Iterative Learning Control of Trajectory Generation for the Soft Actuator
E Song, J Koo - The Journal of Korea Robotics Society, 2021 - koreascience.kr
As the robot industry develops, industrial automation uses industrial robots in many parts of
the manufacturing industry. However, rigidity-based conventional robots have a …
the manufacturing industry. However, rigidity-based conventional robots have a …
[PDF][PDF] Trajectory Tracking for Articulated Soft Robots: an Iterative Learning Control Approach
Interactions between robots and the environment frequently occur during most modern
robotic applications. Independently from the nature-intentional or unintentional-of these …
robotic applications. Independently from the nature-intentional or unintentional-of these …
Iterative learning control for motion trajectory tracking of a circular soft crawling robot
Soft robots have recently received much attention with their infinite degrees of freedoms and
continuously deformable structures, which allow them to adapt well to the unstructured …
continuously deformable structures, which allow them to adapt well to the unstructured …
Learning to walk a tripod mobile robot using nonlinear soft vibration actuators with entropy adaptive reinforcement learning
Soft mobile robots have shown great potential in unstructured and confined environments by
taking advantage of their excellent adaptability and high dexterity. However, there are …
taking advantage of their excellent adaptability and high dexterity. However, there are …
Adaptive Control for a Constrained Soft Manipulator with Prescribed Performance
Soft manipulator is more safe than rigid manipulator when working with people, but it's also
more difficult to design and control. Unlike some existing works establishing kinematic …
more difficult to design and control. Unlike some existing works establishing kinematic …
A novel iterative learning model predictive control method for soft bending actuators
Soft robots attract research interests worldwide. However, its control remains challenging
due to the difficulty in sensing and accurate modeling. In this paper, we propose a novel …
due to the difficulty in sensing and accurate modeling. In this paper, we propose a novel …
Iterative learning control for fast and accurate position tracking with an articulated soft robotic arm
M Hofer, L Spannagl, R D'Andrea - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
This paper presents the application of an iterative learning control scheme to improve the
position tracking performance for an articulated soft robotic arm during aggressive …
position tracking performance for an articulated soft robotic arm during aggressive …
Dynamic control of soft robots using reinforcement learning
B Pawlowski, CW Anderson… - Dynamic Systems …, 2019 - asmedigitalcollection.asme.org
Soft robots made from soft materials recently attracted tremendous research owing to their
unique softness compared with rigid robots, making them suitable for applications such as …
unique softness compared with rigid robots, making them suitable for applications such as …
Adaptive iterative learning control of soft robot for beating heart tracking
Y Wang, Y Liu, F Xu - Robotic Intelligence and Automation, 2024 - emerald.com
Purpose Soft robots are known for their excellent safe interaction ability and promising in
surgical applications for their lower risks of damaging the surrounding organs when …
surgical applications for their lower risks of damaging the surrounding organs when …
Rl-based adaptive controller for high precision reaching in a soft robot arm
High precision control of soft robots is challenging due to their stohcastic behavior and
material-dependent nature. While RL has been applied in soft robotics, achieving precision …
material-dependent nature. While RL has been applied in soft robotics, achieving precision …
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