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Machines
Special Issues
The Latest Advances in Climbing and Walking Robots
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The Latest Advances in Climbing and Walking Robots

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 2761

Special Issue Editors

Prof. Dr. Manuel F. Silva

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Guest Editor
Department of Electrical Engineering, Institute of Engineering of the Polytechnic Institute of Porto, 4249-015 Porto, Portugal
Interests: modelling; simulation; robotics; biological inspired robots; control and education in robotics and control
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ebrahim Samer El Youssef

E-Mail Website
Guest Editor
Department of Automation and Control Engineering, and Computation, Federal University of Santa Catarina, Florianópolis, Brazil
Interests: robotics; unmanned aerial robots; wheeled mobile robots; nonlinear systems modelling and controlling
Prof. Dr. Mohammad Osman Tokhi

E-Mail Website
Guest Editor
School of Engineering, London South Bank University, London SE1 0AA, UK
Interests: active noise and vibration control; adaptive/intelligent control; soft-computing modeling and control of dynamic systems; assistive robotics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Leonardo Mejia Rincon

E-Mail Website
Guest Editor
Automation, Control and Computation Engineer Department, Federal University of Santa Catarina, Florianópolis, Brazil
Interests: industrial robotics; robots for special applications; force capability optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Climbing and walking robots are witnessing very rapid development, with a myriad of new systems and applications being launched constantly. These developments are occurring in very distinct areas, namely sensors, actuators, and control systems, and many of those are inspired by solutions found in nature. It is necessary that the latest developments are shared among scientists and professors on the related topics, all around the world, to further enhance the advancement in this area.

Given this context, the objective of this Special Issue is to promote and disseminate the most recent research and development in climbing and walking robots. The present Issue will mainly gather enhanced and extended versions of papers selected out of those presented at the 26th issue of the International Conference Series on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR’2023). Authors who did not attend the conference are also welcome to submit their research to this SI.

The SI will cover analysis (modelling and simulation) techniques, design approaches, and practical applications and realizations of robotic systems. Support technologies for realization of such systems, associated economic, ethical, and social considerations are also welcome. A non-exhaustive list of topics follows:

  • Biologically inspired systems and solutions
  • Climbing robots
  • Human–Robot interaction
  • Hybrid locomotion
  • Innovative design of CLAWAR
  • Artificial intelligence and machine learning for CLAWAR
  • Legged locomotion
  • Planning and control
  • Rehabilitation and function restoration
  • Service robots

Prof. Dr. Manuel F. Silva
Prof. Dr. Ebrahim Samer El Youssef
Prof. Dr. Mohammad Osman Tokhi
Prof. Dr. Leonardo Mejia Rincon
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

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Research

25 pages, 9519 KiB  
Article
Design and Control of a Climbing Robot for Autonomous Vertical Gardening
by Marko Jamšek, Gal Sajko, Jurij Krpan and Jan Babič
Machines 2024, 12(2), 141; https://doi.org/10.3390/machines12020141 - 17 Feb 2024
Viewed by 1099
Abstract
This paper focuses on the development of a novel climbing robot that is designed for autonomous maintenance of vertical gardens in urban environments. The robot, designed with a unique five-legged structure, is equipped with a range of electrical and mechanical components, enabling it [...] Read more.
This paper focuses on the development of a novel climbing robot that is designed for autonomous maintenance of vertical gardens in urban environments. The robot, designed with a unique five-legged structure, is equipped with a range of electrical and mechanical components, enabling it to autonomously navigate and maintain a specially designed vertical garden wall facilitating interactive maintenance and growth monitoring. The motion planning and control of the robot were developed to ensure precise and adaptive movement across the vertical garden wall. Advanced algorithms were employed to manage the complex dynamics of the robot’s movements, optimizing its efficiency and effectiveness in navigating and maintaining the garden structure. The operation of the robot in maintaining the vertical garden was evaluated during a two-week trial where the robot successfully performed nearly 8000 leg movements, with only 0.6% requiring human intervention. This demonstrates a high level of autonomy and reliability. This study concludes that the pentapod robot demonstrates significant potential for automating the maintenance of vertical gardens, offering a promising tool for enhancing urban green spaces. Full article
(This article belongs to the Special Issue The Latest Advances in Climbing and Walking Robots)
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15 pages, 4810 KiB  
Article
Realization of a Human-like Gait for a Bipedal Robot Based on Gait Analysis
by Junsei Yamano, Masaki Kurokawa, Yuki Sakai and Kenji Hashimoto
Machines 2024, 12(2), 92; https://doi.org/10.3390/machines12020092 - 25 Jan 2024
Viewed by 972
Abstract
There are many studies analyzing human motion. However, we do not yet fully understand the mechanisms of our own bodies. We believe that mimicking human motion and function using a robot will help us to deepen our understanding of humans. Therefore, we focus [...] Read more.
There are many studies analyzing human motion. However, we do not yet fully understand the mechanisms of our own bodies. We believe that mimicking human motion and function using a robot will help us to deepen our understanding of humans. Therefore, we focus on the characteristics of the human gait, and the goal is to realize a human-like bipedal gait that lands on its heels and takes off from its toes. In this study, we focus on kinematic synergy (planar covariation) in the lower limbs as a characteristic gait seen in humans. Planar covariation is that elevation angles at the thigh, shank, and foot in the sagittal plane are plotted on one plane when the angular data are plotted on the three axes. We propose this feature as a reward for reinforcement learning. By introducing this reward, the bipedal robot achieved a human-like bipedal gait in which the robot lands on its heels and takes off from its toes. We also compared the learning results with those obtained when this feature was not used. The results suggest that planar covariation is one factor that characterizes a human-like gait. Full article
(This article belongs to the Special Issue The Latest Advances in Climbing and Walking Robots)
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