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Robotics, Volume 14, Issue 12

2025 December - 21 articles

Cover Story: Human–robot collaboration (HRC) aims to create workplaces where humans and robots operate side by side, combining robotic efficiency with human flexibility and safety. MultiPhysio-HRC introduces a comprehensive multimodal dataset designed to study human mental states during realistic HRC scenarios. The dataset includes synchronized physiological, facial, audio, and behavioral signals collected across cognitive tasks, virtual reality activities, manual disassembly, and collaborative disassembly with a robot. Combined with validated questionnaires on stress, workload, and affect, MultiPhysio-HRC supports research on how stress and cognitive load evolve in industrial-like environments, enabling adaptive, human-aware robotic systems. View this paper
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Articles (21)

  • Article
  • Open Access
923 Views
29 Pages

18 December 2025

In this work, we propose a fully decentralized, self-organizing control framework for a swarm of autonomous ground mobile robots. The system integrates potential field-based mechanisms for simultaneous trajectory tracking, formation control, and obst...

  • Article
  • Open Access
470 Views
20 Pages

Workspace and Singularity Analysis of 4-DOF 3R1T Parallel Mechanism with a Circular Rail

  • Pavel Laryushkin,
  • Ilya Brem,
  • Alexey Fomin and
  • Anton Antonov

17 December 2025

Limited workspace and singularities are major challenges for parallel mechanisms. This article addresses these issues for a 4-DOF 1-SPS/3-RRRRR parallel mechanism with a circular rail, proposed in our prior work. The mechanism has a 3R1T motion type...

  • Article
  • Open Access
1 Citations
504 Views
22 Pages

Fixed-Time and Prescribed-Time Image-Based Visual Servoing with Asymmetric Time-Varying Output Constraint

  • Jianfei Lin,
  • Lei Ma,
  • Deqing Huang,
  • Na Qin,
  • Yilin Chen,
  • Yutao Wang and
  • Dongrui Wang

16 December 2025

This paper addresses image-based visual servoing with the field-of-view limitation of the camera. A novel control method is proposed with dual constraints based on fixed-time and prescribed-time convergence. With the introduction of a prescribed-time...

  • Article
  • Open Access
620 Views
21 Pages

PGTI: Pose-Graph Topological Integrity for Map Quality Assessment in SLAM

  • Shuxiang Xie,
  • Ken Sakurada,
  • Ryoichi Ishikawa,
  • Masaki Onishi and
  • Takeshi Oishi

15 December 2025

We introduce the pose-graph topological integrity, an approach designed to assess the correctness of pose graphs in simultaneous localization and mapping. Traditional methods assessed map quality according to the optimality criteria based on pose gra...

  • Article
  • Open Access
492 Views
31 Pages

14 December 2025

This article presents a methodology for real-time forecasting of a fire-extinguishing agent jet trajectory from a robotic fire monitor under wind influence, which can significantly displace the impact area position and complicate targeting. The propo...

  • Article
  • Open Access
445 Views
17 Pages

12 December 2025

Accurate and real-time evaluation of energy expenditure is crucial for optimizing exoskeleton control laws. Conventional regression-based prediction approaches are strongly affected by inter-individual variability in surface electromyography (sEMG) s...

  • Article
  • Open Access
564 Views
17 Pages

Extensible Heterogeneous Collaborative Perception in Autonomous Vehicles with Codebook Compression

  • Babak Ebrahimi Soorchaei,
  • Arash Raftari and
  • Yaser Pourmohammadi Fallah

10 December 2025

Collaborative perception can mitigate occlusion and range limitations in autonomous driving, but deployment remains constrained by strict bandwidth budgets and heterogeneous agent stacks. We propose a communication-efficient and backbone-agnostic fra...

  • Article
  • Open Access
455 Views
18 Pages

8 December 2025

Energy efficiency represents a fundamental aspect of sustainable industrial automation, where minimizing energy expenditure supports both environmental and economic goals. This work presents the modeling and comparative analysis of the energy consump...

  • Article
  • Open Access
1,168 Views
20 Pages

MultiPhysio-HRC: A Multimodal Physiological Signals Dataset for Industrial Human–Robot Collaboration

  • Andrea Bussolan,
  • Stefano Baraldo,
  • Oliver Avram,
  • Pablo Urcola,
  • Luis Montesano,
  • Luca Maria Gambardella and
  • Anna Valente

5 December 2025

Human–robot collaboration (HRC) is a key focus of Industry 5.0, aiming to enhance worker productivity while ensuring well-being. The ability to perceive human psycho-physical states, such as stress and cognitive load, is crucial for adaptive an...

  • Article
  • Open Access
457 Views
14 Pages

Synthetic Hamiltonian Energy Prediction for Motor Performance Assessment in Neurorehabilitation Procedures: A Machine Learning Approach with TimeGAN-Augmented Data

  • Henry P. Paz-Arias,
  • Omar A. Dominguez-Ramirez,
  • Raúl Villafuerte-Segura,
  • Jeimmy Y. Eche-Salazar and
  • Jose F. Lucio-Naranjo

4 December 2025

This study presents an assessment scheme for haptic interaction systems based on Hamiltonian energy prediction, which contributes to procedures applied to neurorehabilitation. It focuses on robotic systems involving human participation in the control...

  • Article
  • Open Access
424 Views
13 Pages

Haptic-Based Threaded Insertion: Insights from Human Demonstrations

  • Gautami Golani,
  • Kenzhi Iskandar Wong,
  • Suhas Raghavendra Kulkarni,
  • Sugandhana Shanmuganathan,
  • Sri Harsha Turlapati,
  • Yongjun Wee and
  • Domenico Campolo

3 December 2025

This work presents a method to utilise only haptic information in successfully completing a threaded insertion. We derive the insights for this task from human demonstrations and highlight the sufficiency of haptic data in this application, without t...

  • Article
  • Open Access
604 Views
19 Pages

2 December 2025

Supervised training of neural networks is time consuming, and the scenarios required for obtaining a representative dataset must be carefully considered for each task. Applying an unsupervised training approach can greatly simplify this data collecti...

  • Article
  • Open Access
1,211 Views
18 Pages

30 November 2025

Reliable transfer of control policies from simulation to real-world robotic systems remains a central challenge in robotics, particularly for car-like mobile robots. Digital Twin (DT) technology provides a robust framework for high-fidelity replicati...

  • Review
  • Open Access
1 Citations
3,087 Views
39 Pages

A Comprehensive Review of Autonomous Mobile Robots in Healthcare: Implications for Patient-Transporting Human-Following Robots

  • Hyojin Shin,
  • Seohee Kim,
  • Eunseo Jung,
  • Youjung Han,
  • Nayoung Lee,
  • Sangchan Park,
  • Changhoon Jeon and
  • Jiyoung Woo

30 November 2025

Robots and artificial intelligence have revolutionized the healthcare sector. Patient transportation within hospitals is emerging as a critical application; however, reducing errors and inefficiencies caused by human intervention and ensuring safe, e...

  • Article
  • Open Access
664 Views
23 Pages

A Mobile Robotic System Design and Approach for Autonomous Targeted Disinfection

  • Mohammed Z. Shaqura,
  • Linyan Han,
  • Mohammadali Javaheri Koopaee,
  • Wissem Haouas,
  • Moustafa Motawei,
  • Peter Mooney,
  • Nick Fry,
  • Tony Wiese,
  • Bilal Kaddouh and
  • Robert C. Richardson

30 November 2025

The recent global pandemic has posed unprecedented challenges to public health systems and has highlighted the critical need for effective, contactless disinfection strategies in shared environments. This study investigates the use of autonomous robo...

  • Article
  • Open Access
608 Views
22 Pages

Open-Loop Characterisation of Soft Actuator Pressure Regulated by Pulse-Driven Solenoid Valve

  • Andrés J. Serrano-Balbontín,
  • Inés Tejado,
  • Blas M. Vinagre,
  • Sumeet S. Aphale and
  • Andres San-Millan

28 November 2025

Solenoid valves are widely used for pressure regulation in soft pneumatic robots, but their inherent electromechanical nonlinearities—such as dead zones, saturation, and pressure-dependent dynamics—pose significant challenges for accurate...

  • Article
  • Open Access
716 Views
12 Pages

A Dataset of Standard and Abrupt Industrial Gestures Recorded Through MIMUs

  • Elisa Digo,
  • Michele Polito,
  • Elena Caselli,
  • Laura Gastaldi and
  • Stefano Pastorelli

28 November 2025

Considering the human-centric approach promoted by Industry 5.0, safety becomes a crucial aspect in scenarios of human–robot interaction, especially when abrupt human movements occur due to inattention or unexpected circumstances. To this end,...

  • Article
  • Open Access
1,012 Views
36 Pages

27 November 2025

This paper presents a novel synthetic learning-based approach for solving the component-to-slot assignment problem in robotics using a SCARA robot. The method uses a fully simulated environment that generates and annotates scenes based on rules and v...

  • Review
  • Open Access
2,431 Views
38 Pages

A Review of Human Intention Recognition Frameworks in Industrial Collaborative Robotics

  • Mokone Kekana,
  • Shengzhi Du,
  • Nico Steyn,
  • Abderraouf Benali and
  • Halim Djerroud

24 November 2025

The integration of intention recognition systems in industrial collaborative robotics is crucial for improving safety and efficiency in modern manufacturing environments. This review paper looks at frameworks that enable collaborative robots to under...

  • Article
  • Open Access
1,027 Views
30 Pages

Blast Hole Seeking and Dipping: Navigation and Perception Framework in a Mine Site Inspection Robot

  • Liyang Liu,
  • Ehsan Mihankhah,
  • Nathan D. Wallace,
  • Javier Martinez and
  • Andrew J. Hill

21 November 2025

In open-pit mining, holes are drilled into the surface of the excavation site and are then detonated with explosives to facilitate digging. These blast holes need to be inspected internally for quality assurance, as well as for operational and geolog...

  • Article
  • Open Access
1,151 Views
25 Pages

Experimental Characterization of Miniature DC Motors for Robotics in High Magnetic Field Environments

  • Francesco Mazzei,
  • Luca Bernardi,
  • Paolo Francesco Scaramuzzino,
  • Corrado Gargiulo and
  • Fabio Curti

21 November 2025

The deployment of robotic systems in hazardous and magnetically intense environments requires careful assessment of their performance under external disturbances. In particular, electromagnetic motors used for actuation may interact with strong magne...

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Robotics - ISSN 2218-6581