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On the Ethics of Autonomous and Intelligent Systems (AIS)
In the 4th industrial revolution under which autonomous, intelligent systems are designed, certain human brain capacities are delegated to machines. This brings in great opportunity to reduce the need for human intervention in routines of d...
Bayesian emergent self awareness
Multisensor signal Data Fusion and Perception, including processing of signals are important cognitive functionalities that can be included in artificial systems to increase their level of autonomy. However, the techniques they rely on have...
Information Fusion and Decision Support for Autonomous Systems
In this talk we present our works on decision support analytic for autonomous systems. Decision support analytic process multiple sensory information collected by an autonomous system such as lidar, camera, RGBD, acoustic to perform signal ...
Improving Manipulation Capabilities of Autonomous Robots
Human-level manipulation continues to be beyond the capabilities of today’s robotic systems. Not only do current industrial robots require significant time to program a specific task, but they lack the flexibility to generalize to other ta...
Morphogenetic Self-Organization of Collective Systems
Self-organization is one of the most important features observed in social, economic, ecological and biological systems. Distributed self-organizing systems are able to generate emergent global behaviors through local interactions between i...
Sustainable Autonomy of Intelligent Systems: Challenges and Perspectives
Cutting-edge autonomous systems demonstrate outstanding performance in many important tasks requiring intelligent data processing under well-known conditions, supported by massive computational resources and big data. However, the performan...
Verification, Trustworthiness and Accountability of Human-Driven Autonomous Systems
Despite the fact that autonomous systems’ science and control theory have almost 50 years of history, the community is facing major challenges to ensure the safety of fully autonomous consumer systems. It mostly concerns the verification a...
Drone Vision and Deep Learning for Infrastructure Inspection
This lecture overviews the use of drones for infrastructure inspection and maintenance. Various types of inspection, e.g., using visual cameras, LIDAR or thermal cameras are reviewed. Drone vision plays a pivotal role in drone perception/co...
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