The paper gives a mathematical model to efficiently implement social constraints in mobile robots and accordingly control its' tracking. A generalized constraint set including minimizing distance, obstacle avoidance, social avoidance, personal space and their applications such as real time planning, person detection and tracking are demonstrated hereby. Social conventions are implemented using weighted constraint method resulting in human-like behavior. Related simulation-based experiments, performed for verification of the conclusions drawn, are suitably described.
Ayush, Kumar and Agarwal, Navin Kumar
"Constraint Optimised Path Tracking for Social Robots,"
Undergraduate Academic Research Journal: Vol. 1
, Article 9.
Available at: https://www.interscience.in/uarj/vol1/iss1/9