A Differential Game of Collision Coordination Between Two Robots.

Authors

  • Bashir Mai Umar Department of Mathematics, Faculty of Science, Federal University, Gashua, Yobe State, Nigeria https://orcid.org/0009-0007-0862-540X
  • Jewaidu Rilwan Department of Mathematical Sciences, Faculty of Science, Bayero University, Kano, Kano State, Nigeria
  • Maggie Aphane Department of Mathematics and Applied Mathematics, School of Science and Tecnology, Sefako Makgatho Health Science University (SMU), P.O.Box 200, South Africa.
  • Ahmad Yahaya Haruna Department of Mathematics, Faculty of Science, Federal University Kabo, Kano State, Nigeria.
  • Baba Shehu Saidu Department of Mathematics, Faculty of Science, Borno State University, Maiduguri, Borno State, Nigeria.

DOI:

https://doi.org/10.29020/nybg.ejpam.v19i1.6747

Keywords:

Robot, collision, integral constrant, Strategy

Abstract

This paper explores a differential game involving two robots whose movements are described by linear differential equations with integral energy constraints, where the first robot possesses twice the energy of the resource of the second. We propose a novel multi-stage control strategy enabling the robots to execute position swaps while ensuring collision avoidance across three distinct phases, maintaining safe separation throughout. By employing time-specific control functions, we achieve precise coordination, culminating in a planned convergence at a shared location at predetermined terminal time. The admissibility of control strategies under the given constraints is rigorously verified and also, the timing sequence to achieve collision avoidance until critical endpoint is mathematically demonstrated. This work advances differential game theory by introducing a structured, multi-stage approach to balancing collision-free navigation and intentional terminal convergence.

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Published

2026-02-16

Issue

Section

Game Theory

How to Cite

A Differential Game of Collision Coordination Between Two Robots. (2026). European Journal of Pure and Applied Mathematics, 19(1), 6747. https://doi.org/10.29020/nybg.ejpam.v19i1.6747