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You are viewing titles for GEORGIA INSTITUTE OF TECHNOLOGY in the Artificial intelligence available through the UMI Dissertations & Thesis Gradwoorks site
 
Robot tool behavior: A developmental approach to autonomous tool use
Toward the neurocomputer: Goal-directed learning in embodied cultured networks
 
From shape to function: Acquisition of teleological models from design drawings by compositional analogy
Probabilistic topological maps
 
Using observations to recognize the behavior of interacting multi-agent systems
A computational framework for unsupervised analysis of everyday human activities
 
Unsupervised discovery of activity primitives from multivariate sensor data
Countering Murphy's Law: The use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior
 
Incremental smoothing and mapping
The application of advanced inventory techniques in urban inventory data development to earthquake risk modeling and mitigation in mid-America
 
Efficiently mapping high-performance early vision algorithms onto multicore embedded platforms
Isometry and convexity in dimensionality reduction
 
Integrated control of wind farms, FACTS devices and the power network using neural networks and adaptive critic designs
Supporting human interpretation and analysis of activity captured through overhead video
 
Artificial neural network (ANN) based decision support model for alternative workplace arrangements (AWA): Readiness assessment and type selection
Mission-based guidance system design for autonomous UAVs
 
The role of trust and relationships in human-robot social interaction
Robust target localization and segmentation using statistical methods
 
Empirically-based self-diagnosis and repair of domain knowledge
Communication and alignment of grounded symbolic knowledge among heterogeneous robots
 
Applying inter-layer conflict resolution to hybrid robot control architectures
Computational techniques for reasoning about and shaping player experiences in interactive narratives
 
Multi-agent based control of large-scale complex systems employing distributed dynamic inference engine
Genomic data mining for the computational prediction of small non-coding RNA genes
 
A computational approach to achieve situational awareness from limited observations of a complex system
Unlocking the urban photographic record through 4D scene modeling
 
Estimation of glottal source features from the spectral envelope of the acoustic speech signal
Social game retrieval from unstructured videos
 
Concurrent learning for convergence in adaptive control without persistency of excitation
Simultaneous cooperative exploration and networking
 
Power Line Sensor Networks for Enhancing Power Line Reliability and Utilization
Stochastic m-estimators: Controlling accuracy-cost tradeoffs in machine learning
 
Construction and adaptation of AI behaviors in computer games
Scaling solutions to Markov decision problems
 
A distributed kernel summation framework for machine learning and scientific applications
Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition