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Updated: May 14, 2026

Local Field Fluorescence Microscopy: Imaging Cellular Signals in Intact Hearts
Published on: March 8, 2017
Towards localizing on the surface of the beating heart
Nathan A Wood1, Tian Yu Tommy Liu, Kevin Waugh
1The Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA. fnwood@andrew@rig.cmu.edu
This study introduces a new method for robots to pinpoint their location on a deforming surface, like the heart, using only their movement data. This technique helps robots navigate complex biological environments more effectively.
Area of Science:
- Robotics
- Biomedical Engineering
- Computer Science
Background:
- Robots operating in dynamic biological environments face localization challenges.
- Accurate localization is crucial for robotic surgery and medical interventions.
Purpose of the Study:
- To develop a localization framework for robots on periodically deforming surfaces.
- To utilize non-uniform movements of biological surfaces as features for robot localization.
- To enhance the capabilities of the HeartLander epicardial robot.
Main Methods:
- Employing a particle filter for localization.
- Developing accurate motion and observation models for the robotic system.
- Utilizing position measurements from the robot for feature extraction.
- Demonstrating the framework in dynamic 2-D simulations.
Main Results:
- The proposed framework enables quick and accurate identification of registration and localization parameters.
- Simulations show the effectiveness of using surface deformation for localization.
- The method leverages the heart's non-uniform movements as localization features.
Conclusions:
- The presented particle filter-based approach is effective for localizing robots on deforming surfaces.
- This work provides a foundation for autonomous navigation of epicardial robots.
- The method shows promise for real-world applications in cardiac robotics.
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