Call For Papers

We invite topics related to medical robotics, which include but are not limited to:

• Machine Learning and Cognitive Surgical Robotics

  • • • AI and deep learning applications in surgical robotics

      • Cognitive systems and architectures for intelligent surgery

      • Predictive analytics and data-driven techniques in robotic surgery

• Physical Human-Robot Compliant Interaction

  • • • Biomechanical modeling and design for compliant interaction

      • Advanced sensing for physical interaction

      • Control strategies for safe and adaptive human-robot collaboration

• Human-Robot Intelligent Collaboration and Shared Control

  • • • Intelligent shared autonomy in surgical tasks

      • Psychophysical modeling for effective human-robot interaction

      • Surgeon-adaptive and personalized robotic systems

• Design, Modeling, and Control of Continuum Surgical Robotics

  • • • Design innovations in continuum surgical robots

      • Kinematic and dynamic modeling for flexible robotic systems

      • Advanced control architectures for continuum robotics

• Soft Robotic Systems for MIS

  • • • Exploration of soft materials and compliant robotic mechanisms

      • Soft robotic designs for minimally invasive surgical applications

      • Control and optimization strategies for soft robotic manipulators

• Embodied AI for Surgery

  • • • AI integration for embodied intelligence in surgical robotics

      • Sensorimotor learning and embodiment in robotic systems

      • Adaptive human-in-the-loop embodied AI systems

• Computer Vision for Surgery

  • • • Image processing for preoperative and intraoperative applications

      • Vision-based navigation and mapping in surgical environments

      • Machine learning-enhanced computer vision for surgical precision

• Tactile and Haptic Feedback in Robotic Surgery

  • • • Development and integration of tactile sensing technologies

      • Haptic interfaces for enhanced feedback and control

      • Haptic-aware robotic systems for surgical applications

• Augmented Reality in Robotic Surgery 

  • • • AR-enhanced visualization for surgical planning and execution

      • Multimodal AR interfaces for surgeon-robot collaboration

      • AR-driven real-time feedback and annotation systems

• Multi-Sensorized and Data-Driven Robotic Systems in Surgery

  • • • Multi-sensor fusion for high-fidelity surgical robotics

      • Data-driven analytics for improved surgical outcomes

      • Sensorized systems for real-time feedback and adaptation

• Embodied LLM for Robotic Instruction Generation

  • • • Task planning and instruction generation using LLMs

      • Natural language-based surgeon-robot interaction

      • Cognitive reasoning and dynamic adaptation with LLMs

Where to Submit

Submission Instruction