Withdraw
Loading…
Visual servoing for pose control of soft continuum arms
Kamtikar, Shivani
Loading…
Permalink
https://hdl.handle.net/2142/115778
Description
- Title
- Visual servoing for pose control of soft continuum arms
- Author(s)
- Kamtikar, Shivani
- Issue Date
- 2022-04-26
- Director of Research (if dissertation) or Advisor (if thesis)
- Chowdhary, Girish
- Department of Study
- Computer Science
- Discipline
- Computer Science
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- M.S.
- Degree Level
- Thesis
- Keyword(s)
- robotics
- soft continuum arms
- computer vision
- visual servoing
- pose control
- manipulation
- neural networks
- learning-based robotics
- Abstract
- For soft continuum arms, visual servoing is a popular control strategy that relies on visual feedback to close the control loop. However, robust visual servoing is challenging as it requires reliable feature extraction from the image, accurate control models and sensors to perceive the shape of the arm, both of which can be hard to implement in a soft robot. This research circumvents these challenges by presenting a deep neural network-based method to perform smooth and robust 3D positioning tasks on a soft arm by visual servoing using a camera mounted at the distal end of the arm. A convolutional neural network is trained to predict the actuations required to achieve the desired pose in a structured environment. Integrated and modular approaches for estimating the actuations from the image are proposed and are experimentally compared. A proportional control law is implemented to reduce the error between the desired and current image as seen by the camera. The model together with the proportional feedback control makes the described approach robust to several variations such as new targets, lighting, loads, and diminution of the soft arm. Furthermore, the model lends itself to be transferred to a new environment with minimal effort.
- Graduation Semester
- 2022-05
- Type of Resource
- Thesis
- Copyright and License Information
- Copyright 2022 Shivani Kiran Kamtikar
Owning Collections
Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at IllinoisManage Files
Loading…
Edit Collection Membership
Loading…
Edit Metadata
Loading…
Edit Properties
Loading…
Embargoes
Loading…