The Companion Robotics Institute (CRI) is a virtual research centre initiating and supporting international collaboration in inter-disciplinary research in the sub-fields of study focused on technical and societal challenges of robots acting as companions, co-workers/players with humans or with each other.
More specifically CRI seeks to promote Research Technology Development and Innovation (RTDI) in all aspects relating to the vision of semantic-cooperative integration of humans and robots (beneficial as well as possibly adverse side-effects); this includes the following research areas:
- Human-Robot Communication, Robotic Dexterity and Spatio-Temporal Reasoning
• Advanced Human-Robot Interfaces e.g. for assistive-rehabilitative applications
• Ad-hoc speech-based Human-Robot dialogue capability in arbitrary changing environments
• Reasoning about sets, flows, time, space
• Single and two-handed multiple degrees of freedom dexterous manipulation and control
• Dynamic responsive navigation in unstructured spaces and/or dialogue
• Pervasive persistent interaction - Cooperativity and Coordinative Capability to support Teamwork:
• Context-Sensitive, responsive and proactive cooperation, Focus Control, Context Switching
• Integrative State-Goal-and-Task-Space Awareness (of self and other agents)
• Capability for Coordinative Action and Orchestration - Sociability: Process Integration, Social Acceptability and Beneficial Appropriation
• Personalise-ability, plug-and-play (COTS) customise-ability
• Business viability, cost-effectiveness, affordability engineering
• Awareness of Etiquette and Protocols
• Acceptability Models, societal integration, cultural match, (mis)appropriation
• Workflow and Business Processes embedded robotics integration
• Emotion Awareness and mood sensitivity
• Dynamic Usability Modelling, Usability Relationship Centred Evaluation (UI-REF)
• Availability of Benchmarking, Certification and Solution Integrator services - Learning Capability
• In respect of all the desired properties of Companion Robots: re-learning re-adaptive capability by the robot at least at two levels:
i) to optimise reflexive and reflective responsiveness online at run-time
ii) to optimise off-line evolutionary experience-based re-learning - Future Internet of People, Robots Things and Services Sociality
• Robot Social networks e.g. as in Robo-Earth
• Trusted networked based knowledge sharing: Human-Robot Networks, Robots Social Networks - Technological Convergence and Integration Requirements
• Semantic Interoperability Standards,
• Building automation Standards
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CRI
