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Robotics, Volume 14, Issue 7

July 2025 - 15 articles

Cover Story: Collaborative robots are essential in Industry 5.0, working with humans or other robots to boost efficiency and handle complex tasks. This paper presents the development of a digital twin (DT) for the design, monitoring, optimization and simulation of robots’ deployment in assembly cells. The DT integrates data from the physical and virtual worlds to design the trajectory of collaborative robots using a 4D path planning algorithm. The physical information about the industrial environment is replicated within the DT in a computationally efficient way. The proposed framework is utilized for the examination of a case in which four industrial robotic arms are collaborating for the assembly of an industrial component. View this paper
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Articles (15)

  • Article
  • Open Access
1,881 Views
21 Pages

Field Evaluation of an Autonomous Mobile Robot for Navigation and Mapping in Forest

  • Diego Tiozzo Fasiolo,
  • Lorenzo Scalera,
  • Eleonora Maset and
  • Alessandro Gasparetto

This paper presents a mobile robotic system designed for autonomous navigation and forest and tree trait estimation, with a focus on the location of individual trees and the diameter of the trunks. The system integrates light detection and ranging da...

  • Article
  • Open Access
1 Citations
690 Views
34 Pages

Cascade-Based Distributed Estimator Tracking Control for Swarm of Multiple Nonholonomic Wheeled Mobile Robots via Leader–Follower Approach

  • Dinesh Elayaperumal,
  • Sachin Sakthi Kuppusami Sakthivel,
  • Sathishkumar Moorthy,
  • Sathiyamoorthi Arthanari,
  • Young Hoon Joo and
  • Jae Hoon Jeong

This study aims to explore the tracking control challenge in a swarm of multiple nonholonomic wheeled mobile robots (NWMRs) by utilizing a distributed leader–follower strategy grounded in the cascade system theory. Firstly, the kinematic contro...

  • Article
  • Open Access
1 Citations
1,360 Views
18 Pages

This study presents the design, fabrication, and experimental validation of a two-finger robotic gripper featuring a 135° V-shaped fingertip profile tailored for lightweight waste collection in laboratory-scale environmental robotics. The gripper...

  • Article
  • Open Access
1,217 Views
18 Pages

Boosting Deep Reinforcement Learning with Semantic Knowledge for Robotic Manipulators

  • Lucía Güitta-López,
  • Vincenzo Suriani,
  • Jaime Boal,
  • Álvaro J. López-López and
  • Daniele Nardi

Deep Reinforcement Learning (DRL) is a powerful framework for solving complex sequential decision-making problems, particularly in robotic control. However, its practical deployment is often hindered by the substantial amount of experience required f...

  • Article
  • Open Access
763 Views
25 Pages

This paper contributes a two-step approach to monitor clusters of thermal targets on the ground using unmanned aerial vehicles (UAVs) and Gaussian mixture models (GMMs) in a distributed manner. The approach is tailored to networks of UAVs that establ...

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Robotics - ISSN 2218-6581Creative Common CC BY license