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Related Experiment Video

Updated: Jan 7, 2026

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Palpation sensing for robotic-assisted surgery.

Michael Friebe1,2

  • 1, Paul-Schürholz-Str. 7, 45657, Recklinghausen, Germany. info@friebelab.org.

Orthopadie (Heidelberg, Germany)
|December 10, 2025
PubMed
Summary
This summary is machine-generated.

Haptic feedback in robotic-assisted surgery (RAS) enhances precision and safety by restoring the sense of touch. Future intelligent surgical robots will offer greater autonomy and accessibility, improving patient outcomes.

Keywords:
Artificial intelligenceHaptic feedbackMinimally invasive surgeryRobotic-assisted surgeryTactile sensing

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Area of Science:

  • Robotics
  • Surgical Technology
  • Human-Computer Interaction

Background:

  • Robotic-assisted surgery (RAS) currently lacks tactile feedback, relying primarily on visual input.
  • This absence of touch hinders tissue characterization, complicates diagnostics, and increases the risk of unintended surgical damage.
  • Current RAS systems face challenges in training demands and scalability due to limited sensory feedback.

Purpose of the Study:

  • To explore the integration of haptic feedback and artificial intelligence (AI) in RAS.
  • To address the limitations of current RAS systems by restoring a sense of touch.
  • To pave the way for more autonomous and intelligent surgical robotic systems.

Main Methods:

  • Integration of haptic technologies, including force sensors and tactile interfaces.
  • Utilization of AI and multimodal feedback systems to enhance sensory data interpretation.
  • Development of intelligent sensing platforms and AI-driven analytics for real-time control.

Main Results:

  • Haptic integration shows promise in restoring tactile sensation during RAS.
  • AI-enhanced systems enable better interpretation of real-time data and improved tissue discrimination.
  • Reduced application of force is achievable, particularly beneficial for minimally invasive procedures.

Conclusions:

  • Advancements in haptic simulation and AI are crucial for achieving semi-autonomous and fully autonomous RAS.
  • Future surgical robots will be intelligent, adaptive systems capable of collaborative or independent procedures.
  • These evolving technologies promise greater surgical accuracy, autonomy, and global accessibility, optimizing patient outcomes.