The heart of the workshop lies in the concept of bottom up development of socially intelligent robots. For this, we need to identify the basic cognitive and behavioral blocks, which could facilitate the robot to develop more complex socio-cognitive intelligence. Hence, this first edition of the workshop, focusing on some of such basic blocks: reasoning about human, perspective taking, affordance, effort, social signal and their applications.
For robots to coexist with us in complete harmony, they should be able to explicitly reason about humans and develop socially expected and accepted behaviors. This requires the robot to understand the awareness and capabilities of the human. To develop such capabilities, from child developmental and human behavioral research, we can identify the key ingredients, such as the ability to distinguish between self and others and then reasoning about affordance, perspective, spaces, effort, social signal, etc. Researchers across the world are working to equip the robots with one or the other of these aspects, from diverse perspectives. However, what would really elevate the robot's socio-cognitive capabilities is the combination of such abilities. This would prompt new research challenges and the need of a coherent theory, models and architecture. This workshop aims at provoking some common brainstorming about the complex socio-cognitive applications and challenges that arise when such basic blocks should be functioning together.
This workshop aims at bringing together the researchers across these diverse domains, at providing a forum to discuss these key aspects, their potential innovative applications, and at injecting into robotics elements from human behavioral and child developmental psychology.
The challenge is not only to identify the building blocks for developing socially intelligent robots, but also to place, glue and utilize them well from the robotics perspective. Further, we have to explore, how the robot equipped with such basic capabilities can develop itself as a social agent.