  Mission-critical operations, particularly in the context of Search-and-Rescue
(SAR) and emergency response situations, demand optimal performance and
efficiency from every component involved to maximize the success probability of
such operations. In these settings, cellular-enabled collaborative robotic
systems have emerged as invaluable assets, assisting first responders in
several tasks, ranging from victim localization to hazardous area exploration.
However, a critical limitation in the deployment of cellular-enabled
collaborative robots in SAR missions is their energy budget, primarily supplied
by batteries, which directly impacts their task execution and mobility. This
paper tackles this problem, and proposes a search-and-rescue framework for
cellular-enabled collaborative robots use cases that, taking as input the area
size to be explored, the robots fleet size, their energy profile, exploration
rate required and target response time, finds the minimum number of robots able
to meet the SAR mission goals and the path they should follow to explore the
area. Our results, i) show that first responders can rely on a SAR
cellular-enabled robotics framework when planning mission-critical operations
to take informed decisions with limited resources, and, ii) illustrate the
number of robots versus explored area and response time trade-off depending on
the type of robot: wheeled vs quadruped.
