The boundaries between Computer Science, Communication, and Robotics are continuing to be softened. On one hand computers are continuing to be humanized and a large number of cyber-physical systems are being networked to act upon the physical world. On the other hand the robotic community is looking into the robots of the 21st century that are versatile computing machines that are massively connected with high social impact potential, such as enhance transportation safety, reduce agricultural pesticide use, and improve public safety and crime-fighting efficacy, among other things.

Robotic Computing and Communication (RoboticCC) addresses the synergetic interaction of computing technologies, communication technologies, and robotic technologies. The synergy between them is both realistic and strategic. Their mutual benefit is to make it possible to build and evolve new robotic systems.

Topics related to Computing
- Formal methods for analysis and design
- Software engineering
- Data, ontology, and knowledge engineering
- Autonomic computing
- Natural language understanding
- Service oriented computing
- Semantic computing
- Machine Learning
- Multimedia computing
- Internet of Things
- Virtual reality
- Computer security

Topics related to Communication
- Cognitive and AI enabled networking
- Spectrum agile/dynamic spectrum access networks
- Mapping from PHY to application layers
- Security and privacy issues
- Embedded AI, software radio, middleware

Topics related to Robotics
- RAMS abilities of robotic systems
- Hardware modeling and abstraction
- Resource awareness
- Sensor fusion, integration
- Place recognition, localization
- Object recognition, tracking
- Scene interpretation
- Robot cognition
- Manipulation, grasping
- Robot kinematics, dynamics
- Motion planning, control
- Navigation
- Task planning, monitoring
- Human-robot Interaction
- Robot simulation
- Multi-robot systems