Call For Papers

The BioMRH organizing committee cordially invites researchers, innovators, clinicians, and industry professionals to submit papers for the inaugural Biomechatronics and Robotics in Healthcare Symposium to be held in the inspirational city of Brussels, the site of the historic third Solvay Conference. We call upon thought leaders and pioneers in the intersection of technology and healthcare to share their groundbreaking work and contribute to a conference that promises to be a landmark event in the field. Submissions across six main tracks are welcome. Each track offers a deep dive into a range of specific topics outlined below. We are seeking original research papers, case studies, and review articles that push the boundaries of what is possible in biomechatronics and robotics within healthcare settings. Present your insights and solutions to a global audience and contribute to forging a future where technology and health are seamlessly integrated for the benefit of all.

Topics of Interest include:

Track 1: Robotic Systems in Surgery and Rehabilitation

  • Minimally Invasive Robotic Surgery
  • Haptic Feedback and Sensory Integration
  • Rehabilitation Robotics and Exoskeletons
  • Smart Prosthetics and Orthotics
  • Telepresence and Telesurgery Systems
  • Surgical Simulators and Training Tools
  • Robotics in Interventional Radiology
  • Human-Robot Interaction and Safety
  • Robotic Precision and Micro-Surgery

    • Track 2: Biomechatronics and Smart Biomaterials

  • Biosensors and Biomedical Instrumentation
  • Wearable and Implantable Devices
  • Smart Biomaterials for Tissue Engineering
  • Biohybrid Systems and Cybernetic Organisms
  • Neural Interfaces and Neuroprosthetics
  • Bio-inspired Mechatronic Systems
  • Drug Delivery Systems
  • Biomechanical Modelling and Simulation
  • Nanorobots in Medicine
  • Bionics and Bio-MEMS

    • Track 3: AI and Machine Learning in Healthcare

  • AI for Medical Imaging and Diagnosis
  • Machine Learning in Genomics and Drug Discovery
  • Predictive Analytics for Patient Monitoring
  • AI in Hospital and Healthcare Management
  • Ethics and Trustworthiness in AI
  • Deep Learning in Biomedical Engineering
  • AI for Personalized Medicine
  • Data Mining and Big Data in Healthcare
  • AI-Enabled Laboratory Automation
  • Robotic Process Automation in Clinics

    • Track 4: Human-Machine Interfaces and Control

  • Brain-Computer Interfaces (BCI)
  • Adaptive and Learning Control Systems
  • Neural Decoding and Signal Processing
  • Sensory Augmentation Technologies
  • Cognitive Robotics in Healthcare
  • Feedback Control for Assistive Devices
  • Multi-modal Interaction Systems
  • Advanced Pattern Recognition for Control
  • Control Systems for Biomedical Devices
  • Machine Perception in Healthcare

    • Track 5: Bio-Robotics and Natural Machine Motion

  • Soft Robotics for Medical Applications
  • Bio-inspired Robotics and Locomotion
  • Nature-Inspired Design and Mechanisms
  • Swarm Robotics in Surgical Interventions
  • Fluidics and Soft-bodied Control
  • Biomechatronic Devices for Injury Recovery
  • Robotic Tactile Sensing
  • Actuation Systems Mimicking Natural Movement
  • Kinematics and Dynamics of Medical Robots
  • Collaborative Robotics in Care Facilities

    • Track 6: Ethical, Regulatory, and Societal Implications

  • Ethical Issues in Medical Robotics
  • Standards and Certification of Robotic Devices
  • Equity and Accessibility in Robotic Healthcare
  • Patient Privacy and Data Security




    •