  Approximate computing is a computation domain which can be used to trade time
and energy with quality and therefore is useful in embedded systems. Energy is
the prime resource in battery-driven embedded systems, like robots. Approximate
computing can be used as a technique to generate approximate version of the
control functionalities of a robot, enabling it to ration energy for
computation at the cost of degraded quality. Usually, the programmer of the
function specifies the extent of degradation that is safe for the overall
safety of the system. However, in a collaborative environment, where several
sub-systems co-exist and some of the functionality of each of them have been
approximated, the safety of the overall system may be compromised. In this
paper, we consider multiple identical robots operate in a warehouse, and the
path planning function of the robot is approximated. Although the planned paths
are safe for individual robots (i.e. they do not collide with the racks), we
show that this leads to a collision among the robots. So, a controlled
approximation needs to be carried out in such situations to harness the full
power of this new paradigm if it needs to be a mainstream paradigm in future.
