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Sai Krishna

Sai Krishna Position: Research Assistant School/office: School of Science and Technology

Email: c2FpLmtyaXNobmE7b3J1LnNl

Phone: No number available

Room: T1213

About Sai Krishna

I am working in Machine Perception and Interaction (MPI) lab, Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University from September 2016. I joined the Successful Ageing Programme and I am working on Human Social signals which include nonverbal behavioral Cues such as facial expressions, body postures gestures and proxemics to communicate with others and express their feelings. We are working to build a system in the context of Social Robot. This system is integrated with social cues particularly non verbal behavioral cue, Proxemics, to understand the social interaction and study the social behavior expressed by the person. These will be used by the robot to interact with people and work autonomously in the hour of need. This technology is mainly used in Successful Ageing programme for older people to stay in touch with family, friends and hospital faculty (like care takers or doctors) 

I did my Masters in Computer Vision and Robotics then I worked as a researcher in Vision Labs at the University of the Algarve, Portugal. 

Publications

Articles in journals |  Books |  Chapters in books |  Conference papers | 

Articles in journals

Books

Chapters in books

Conference papers

  • Krishna, S. , Kristoffersson, A. , Kiselev, A. & Loutfi, A. (2019). Estimating Optimal Placement for a Robot in Social Group Interaction. In:  IEEE International Workshop on Robot and Human Communication (ROMAN). Paper presented at The 28th IEEE International Conference on Robot and Human Interactive Communication – RO-MAN 2019, New Delhi, India, October 14-18, 2019. IEEE. [BibTeX]
  • Krishna, S. (2018). Join the Group Formations using Social Cues in Social Robots. In:  Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS '18). Paper presented at 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden, July 10-15, 2018. (pp. 1766-1767). New York: Association for Computing Machinery (ACM). [BibTeX]
  • Krishna, S. , Kiselev, A. & Loutfi, A. (2017). Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups. In:  Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups. Paper presented at ECCE Workshop 2017: : Robots in Contexts: Human-Robot Interaction as Physically and Socially Embedded conducted at Umeå University, Sweden, 19 September, 2017. Umeå, Sweden: Umeå University. [BibTeX]