Browse Conferences
Interpretable Anomaly Detection Using A Generalized Markov Jump Particle Filter
When performing anomaly detection on an autonomous vehicle’s sensory data, it is fundamental to infer the cause of the found anomalies. This paper proposes a method for learning prediction models and detecting anomalies by decomposing the ...
Optimal Multidimensional Cyclic Convolution Algorithms For Deep Learning And Computer Vision Applications
1D, 2D and multidimensional convolutions are basic tools in deep learning, notably in convolutional neural networks (CNNs) and in computer vision (template matching, correlation trackers). Therefore, fast 1D/2D/3D convolution algorithms are...
Perspectives on the Emerging Field of Autonomous Systems and its Theoretical Foundations
Autonomous systems are advanced intelligent systems and general AI technologies triggered by the transdisciplinary development in intelligence science, system science, brain science, cognitive science, robotics, computational intelligence, ...
Enabling Trust in Autonomous Human-Machine Teaming
The advancement of AI enables the evolution of machines from relatively simple automation to completely autonomous systems that augment human capabilities with improved quality and productivity in work and life. The singularity is near! How...
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...