Machine learning approaches for detection of robot errors in human brain signals
Combining learning and structure for robotic manipulation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Learning motion skills for a humanoid robot
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) : 21-23 June 2021
Latent State-Space Models for Control
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A Software Scheme for UAV's Safe Landing Area Discovery
Adaptive human-robot policy blending for shared control teleoperation
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Physics-informed regression of implicitly-constrained robot dynamics
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Neural network full-body human predictive models and their use for coordinated robot motion planning
A methodology for photometric validation in vehicles visual interactive systems
Unconstrained licence plate and text localization and recognition
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
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
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Combat vehicle classification using machine learning
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
Automatic Geographic Enrichment by Multi-modal Bike Sensing
An architectural framework for self-configuration and self-improvement at runtime
Clustering sensor data for autonomous terrain identification using time-dependency
Visual recognition of hexagonal headed bolts by comparing ICA to wavelets