Physical Human-Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and...

Area of Science:

• Robotics and Artificial Intelligence

Background:

• Physical human-robot collaboration (pHRC) requires sophisticated systems for safe and effective interaction.
• Advancements in sensors and actuators are crucial for enabling seamless communication between humans and robots.

Purpose of the Study:

• To provide a comprehensive survey of current robotic systems, sensors, actuators, and strategies for pHRC.
• To identify essential components and intelligent assist devices for successful pHRC operations.

Main Methods:

• Review of state-of-the-art robotic systems, including cutting-edge sensors and actuators.
• Analysis of intelligent assist devices and collaborative strategies employed in pHRC.
• Examination of the role of sensors in driving robotic actuators and enabling human-robot communication.

Main Results:

• New generation collaborative robots and intelligent systems facilitate advanced learning and control algorithms for pHRC.
• Identification of critical components necessary for achieving effective physical human-robot collaboration.
• Sensors are fundamental for establishing communication and control signals in pHRC systems.

Conclusions:

• The integration of advanced sensors, actuators, and intelligent systems is transforming pHRC.
• Effective pHRC relies on a holistic consideration of robotic systems, control algorithms, and collaborative strategies.
• Future research should focus on addressing remaining challenges and exploring new directions in pHRC.