The IEEE WCCI 2020 is the bi-annual IEEE World Congress on Computational Intelligence, which is the largest technical event in the field of computational intelligence. The IEEE WCCI 2020 hosts three conferences of Neural Networks, Evolutionary Computations and Fuzzy Systems. It encourages cross-fertilisation of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence. IEEE WCCI 2020 will be hosted at the prestigious Scottish Event Campus (SEC).
Internet of Things (IoT) delivers new value by connecting People, Process and Data. The new paradigm – ‘Internet of robotic things’ was coined in a report of ABI research to denote a concept where sensor data from a variety of sources are fused, processed using local and distributed intelligence and used to control and manipulate objects in the physical world. In the cyber-physical perspective of IoRT, sensor and data analytics technologies from the IoT are used to give robots a wider situational awareness that leads to better task execution.
The value of IoRT has been demonstrated in distributed, heterogeneous robot control paradigms like networked robot systems or robot ecologies, or in approaches such as ubiquitous robotics and cloud robotics that place resource-intensive computation on the cloud. IoRT technology could inspire wider applications of robotic and autonomous systems (RAS). NIST’s trustworthiness framework of cyber physical systems covers cybersecurity, privacy, safety, reliability, and resilience. An effective RAS must be trustworthy. Especially the cybersecurity safety, health and interaction of RAS directly affect the development of RAS towards fully autonomous systems without human intervention. Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms. Conventionally, the three main pillars of CI are Neural Networks, Fuzzy Systems and Evolutionary Computation.
Artificial intelligence (AI) is a wider paradigm, including reasoning, knowledge representation, planning, learning, natural language processing, perception and the ability to move and manipulate objects. The three main pillars of techniques in CI have played important roles in AI. The workshop will demonstrate the contribution of computational intelligence techniques in the development of trustworthy RAS.
We now seek paper submissions for the workshop and that such papers should adhere to the standard WCCI length, format and submission deadline (http://ieee-cis.org/conferences/fuzzieee2020/upload-workshop.php). This workshop will cover the following topics related to the trustworthiness of RAS through AI techniques and Edge Computing, but not be limited.
- RAS, dealing with anomalies in cyber space – Cognitive cybersecurity, privacy, security by design, privacy by design, as well as anomaly (cyberattack, malware, intrusion, virus, and etc.) detection, etc.
- RAS, dealing with anomalies in surrounding environments – Safe navigation, obstacle detection, obstacle avoidance, pedestrian awareness, etc.
- RAS, self-healing and maintenance of health – Fault detection and diagnosis, system life prediction, etc.
- RAS, autonomy and trustiness in human-robot interaction – Socially intelligent robots, interpretive AI for Robotic Behaviour, mixed initiative in human-robot interaction.
- Trusting robots for social-health care, advanced manufacturing, and extreme environments, etc.