  The present work provides a new approach to solve the well-known multi-robot
co-operative box pushing problem as a multi objective optimization problem
using modified Multi-objective Particle Swarm Optimization. The method proposed
here allows both turning and translation of the box, during shift to a desired
goal position. We have employed local planning scheme to determine the
magnitude of the forces applied by the two mobile robots perpendicularly at
specific locations on the box to align and translate it in each distinct step
of motion of the box, for minimization of both time and energy. Finally the
results are compared with the results obtained by solving the same problem
using Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The proposed scheme
is found to give better results compared to NSGA-II.
