Machine learning approaches for detection of robot errors in human brain signals
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Combining learning and structure for robotic manipulation
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Latent State-Space Models for Control
Learning motion skills for a humanoid robot
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A Software Scheme for UAV's Safe Landing Area Discovery
Self-supervised learning of primitive-based robotic manipulation
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Physics-informed regression of implicitly-constrained robot dynamics
Adaptive human-robot policy blending for shared control teleoperation
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Unconstrained licence plate and text localization and recognition
Automotive fault diagnosis - part II: a distributed agent diagnostic system
A methodology for photometric validation in vehicles visual interactive systems
Neural network full-body human predictive models and their use for coordinated robot motion planning
Sampling-based exploration strategies for mobile robot autonomy
3D vehicle sensor based on monocular vision
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Lane change intent analysis using robust operators and sparse Bayesian learning
Obstacle avoidance learning for a wheeled lunar rover based on its local relative pose
Combat vehicle classification using machine learning
Automatic Geographic Enrichment by Multi-modal Bike Sensing
A new scheme for vision based flying vehicle detection using motion flow vectors classification
Robust servo-control for underwater robots using banks of visual filters
Critical motion detection of nearby moving vehicles in a vision-based driver-assistance system
ATR applications of minimax entropy models of texture and shape
An architectural framework for self-configuration and self-improvement at runtime
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
Clustering sensor data for autonomous terrain identification using time-dependency