Gaussian Processes for Data-Efficient Learning in Robotics and Control
Fast Probabilistic Neuro-Fuzzy System for Pattern Classification Task
Distributed Fault-Tolerant Control of Multi-Agent Systems: An Adaptive Learning Approach
Development of online learning groups based on MBTI learning style and fuzzy algorithm
DeepWay: A Deep Learning waypoint estimator for global path generation
Deep Reinforcement Learning: A Brief Survey
Correctness-guaranteed strategy synthesis and compression for multi-agent autonomous systems
Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs
Collaborative robot assisted smart needle placement
Beyond the Baseline: 3D Reconstruction of Tiny Objects with Single Camera Stereo Robot
Bayesian active learning for received signal strength-based visible light positioning
Assessing the Role of Machine Learning in Robotics
A Neurocomputational Model of Goal-Directed Navigation in Insect-Inspired Artificial Agents.
An approach to develop intelligent learning environments by means of immersive virtual worlds
A machine learning approach to visual perception of forest trails for mobile robots
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems
A grid concept for reliable, flexible and robust remote engineering laboratories