Social Robots: Emotional Connection and Task Engagements
Report Highlights
Technical advances in several sectors come together in the development of social robots. Social robots are specifically designed to create an emotional attachment with a human counterpart. Facial recognition and affect analysis, natural language processing, artificial intelligence, camera vision and computer conversational developments (chatbots) have significant impact on the emotional connections desired in social robots. This report on Social Robots highlights overall growth due to rapidly advances in artificial intelligence, need of emotional connection with humans, uses in medical/research purposes and various other segments.
Report Includes
- An overview with a trend analysis of the global market for social robots, which are designed to engage with people and to elicit an emotional connection
- Discussion of social robots in the use-cases or categories such as human-like, medical/therapeutic, personal/customer services and toys; ethics and risks associated with using this technology
- Analyses of global market trends with data from 2019, estimates for 2020 and projections of compound annual growth rates (CAGRs) through 2025
- Review of recent patent grants and accepted applications for patents with respect to design innovations and end uses
Analyst Credentials
This report’s project analyst, Stephen Schey, has been reporting on market analysis for two years and has authored several BCC Research reports related to market analysis in the electric vehicle charging system market, fork truck battery charging industry and automated industrial equipment. Before entering the field of market research, he had more than 20 years personal experience in the electric vehicle industry. He has also worked on fast charging of material handling and aircraft ground support equipment. He was involved in the design and business case development of the first system for fast-charging industrial fork truck batteries (Minit-Charger). In 2009, he directed infrastructure planning and data analysis efforts for The EV Project, the largest plug-in electric vehicle infrastructure demonstration project in the world.