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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
A multi-sensorial hybrid control for robotic manipulation in human-robot workspaces
Jorge Pomares1, Ivan Perea, Gabriel J García
1Department of Physics, System Engineering and Signal Theory, University of Alicante, San Vicente del Raspeig, Alicante 03690, Spain. jpomares@ua.es
Sensors (Basel, Switzerland)
|December 14, 2011
Summary
This study introduces an intelligent multi-sensorial system for autonomous robot manipulation in human-robot workspaces. The system ensures safe and efficient object handling by integrating multiple sensors to detect and avoid humans.
Area of Science:
- Robotics
- Artificial Intelligence
- Human-Robot Interaction
Background:
- Autonomous manipulation is crucial for robots in human environments.
- Ensuring safety and efficiency in shared workspaces is a significant challenge.
Purpose of the Study:
- To develop an intelligent multi-sensorial approach for autonomous robot manipulation.
- To enable robots to perform complex tasks safely alongside human operators.
Main Methods:
- A multi-robotic platform with a hybrid visual servo control for guidance.
- Inertial motion capture and indoor localization systems for collision avoidance.
- A tactile sensor algorithm for precise object manipulation.
Main Results:
- The integrated system successfully guided robots and manipulated objects.
- Collision avoidance with unexpected human presence was effectively managed.
- Experimental setups validated the approach's effectiveness and safety.
Conclusions:
- The proposed multi-sensorial system enhances robot autonomy and safety in human-robot collaboration.
- This approach is effective for complex manipulation tasks in semi-structured environments.