 A robot interacts with multiple objects while working in a particular environment. To perform particular task robots interacts with themselves or other objects. In uncertain environments the robots may have to encounter with unknown objects those may appear in its surroundings.  The robots should be aware of the semantics and positions of the objects in its surrounding so that hitting other objects or themselves or any wrong doing can be avoided

1. Progress Report
Introduction
 A robot interacts with multiple objects while working in a particular environment.
To perform particular task robots interacts with themselves or other objects. In
uncertain environments the robots may have to encounter with unknown objects
those may appear in its surroundings.
 The robots should be aware of the semantics and positions of the objects in its
surrounding so that hitting other objects or themselves or any wrong doing can
be avoided
Task switching factors and usage statistics
28%
20%
16%
12%
24%
Task switching factors
Cognitive intelligence
path
Configuration
Visibility
Mixed

2. In the review we have discussed about task switching. Depending upon the
nature of task like static and dynamic different frame works have been analyzed.
When autonomous robots switch from one task to other, the task switching
criterias like time, path, visibility, configuration etc are taken into consideration.
Task regrouping helps in accomplishing the task easily with less time and cost.
Multi tasking done by a single robot and by a group of robots are also analyzed.
Multi tasking in uncertain environment is discussed and we have also reviewed
the natural language interfaces to robots and cognitive message exchange. Multi
tasking with cognitive intelligence of robots have been studied and application of
natural language, human facial emotion and body gesture analysis have been
done while multi tasking. Different types of robots like service robots, industrial
robots, under water and aerial robots have been discussed as case studies for
multi tasking.
This review guarantees the following findings about task switching applying
cognitive capabilities in a multi object and multi tasking environment. It is evident
that the robots learn to predict future tasks and actions in uncertain dynamic
environments. Robots are trained about the semantics of the environments and
can predict and manipulate dynamic objects those interfere in their work
environment. This helps the robots to avoid hitting themselves or other objects