Smooth Sensor Motion Planning for Robotic Cyber Physical Social Sensing (CPSS)

Area of Science:

• Robotics
• Cyber Physical Social Sensing (CPSS)
• Sensor Networks

Background:

• Cyber Physical Social Sensing (CPSS) is an emerging research area.
• Existing research in CPSS has largely overlooked the application of robotic sensors.
• Traditional trajectory planning methods are inadequate for robotic sensors due to inefficiency and instability.

Purpose of the Study:

• To propose and evaluate a novel sensor trajectory planning method specifically for robotic sensors within CPSS.
• To address the limitations of traditional methods in terms of efficiency, stability, and path smoothness.

Main Methods:

• Developed a sensor trajectory planning method utilizing an optimizing function to generate intermediate points.
• Regressed discrete intermediate points into a quintic polynomial to ensure smooth trajectories.
• Employed simulations to validate the proposed method's performance.

Main Results:

• The proposed method successfully generates smooth and stable trajectories for robotic sensors.
• Simulations demonstrated the robustness and efficiency of the developed trajectory planning approach.
• The method is well-suited for application in the Cyber Physical Social Sensing field.

Conclusions:

• The novel trajectory planning method effectively overcomes the limitations of traditional approaches for robotic sensors in CPSS.
• This research validates the utility of robotic sensors in CPSS and provides a foundational method for their deployment.
• The proposed technique offers a robust and efficient solution for robotic sensor path planning in CPSS applications.