Georgia Institute of Technology

Human learning dynamics during teleoperation of surgical robots

Robot-assisted minimally invasive surgery requires operators to learn precise motor control. In this paper, we examined how task complexity and the human-robot motion scaling ratio affect teleoperation learning in a ring-through-rail task implemented on the da Vinci Research Kit....

Wet-Spun Supramolecular Lignin/Alginate Fibers from Agricultural Residues

Abstract Purpose This is the 1st study to explore the development of fully biobased lignin/alginate fibers using lignin extracted from corn stover via the CELF process. It examines how lignin molecular weight and concentration affect fiber properties for sustainable material appl...

Frameworks to identify research gaps, frame research needs, and derive research priorities from evidence syntheses:a scoping review

Objectives To identify and describe frameworks for systematically identifying research gaps from evidence syntheses, framing research needs, and establishing priorities, with emphasis on their use of GRADE (Grading of Recommendations Assessment, Development and Evaluation) certai...

Dimension and model reduction approaches for linear Bayesian inverse problems with rank-deficient prior covariances

Abstract Bayesian inverse problems use observed data to update a prior probability distribution for an unknown state or parameter of a scientific system to a posterior distribution conditioned on the data. In many applications, the unknown parameter is high-dimensional, making co...

Autonomous Folding of Soft Matter From Living Polymers

ABSTRACT Origami provides a versatile framework for shape‐morphing, yet existing systems are limited to transitions between an initial state and a predetermined folding outcome, offering little tunability after fabrication. Here we introduce a dynamic “living” polymer that contin...

Holonomy of Parabolic Geometries Near Isolated Higher-Order Fixed Points

For Cartan geometries admitting an automorphism with isotropy satisfying a particular, loosely dynamical property on their model geometries, we demonstrate the existence of an open subset of the geometry with trivial holonomy. This property, which generalizes characteristics of i...

Geographic and perceptual bias in multimodal LLMs: evidence from a global dataset spanning more than 200 cities

Multimodal large language models (MLLMs) are increasingly deployed for urban informatics applications, from objective built environment attribute extraction to subjective assessments. However, do MLLMs apply the same standards across regions while executing these urban-related ta...

Evaluation of Pandora HCHO and NO 2 with airborne in situ observations

Abstract. The Pandora Global Network (PGN) is a system of ground-based spectrometers reporting continuous daytime column HCHO and NO2. While the Direct Sun (DS) NO2 product has been well studied, the Multi Axis Differential Optical Absorption Spectroscopy (MAX DOAS) products are...

A Kac System Interacting with Two Heat Reservoirs

Abstract We study a system formed by M particles moving in 3 dimension and interacting with 2 heat reservoirs with $$N>>M$$ N > > M particles each. The system and the reservoirs evolve and interact via random collision described by a Kac-type master equation. The initial state of...

Multiparametric optimization based decision making approach in energy systems planning under uncertainty

Energy infrastructure planning confronts a fundamental temporal asymmetry in which capacity decisions must be committed before uncertainty materializes and yet must remain robust across all future operational scenarios. Traditional approaches either adopt worst-case hedging or ig...

CPTu-Based Interpretation of Partially Drained Responses in Thickened and Conventional Mine Tailings

Abstract Cone penetration testing with pore-pressure measurements (CPTu) is used widely in tailings engineering, and most interpretation methods are formulated for fully drained or undrained responses. However, mine tailings often exhibit partially drained behavior, posing signif...

Elastic Liquid Metal Foam for Self‐Powered Triboelectric Sensing and Intelligent Tactile Recognition

ABSTRACT With the rapid expansion of the Internet of Things (IoT) and artificial intelligence (AI), developing flexible self‐powered electronic skins with high sensitivity and mechanical robustness has become a critical research priority. However, traditional metal‐polymer compos...

Machine Learning Acceleration of Neutron Star Pulse Profile Modeling

Abstract Ray-tracing algorithms that compute pulse profiles from rotating neutron stars are essential tools for constraining neutron star properties with data from missions such as Neutron star Interior Composition Explorer. However, the high computational cost of these simulatio...

Heterogeneous Treatment Effects in Panel Data: Insights into the Healthy Incentives Program

Problem definition: We study how adding new vendors to the Massachusetts Healthy Incentives Program (HIP), a food subsidy program, affects program utilization. This is an instance of a core problem in causal inference: estimating heterogeneous treatment effects (HTEs) using panel...

Tunable asymmetric swimming in biflagellate microswimmers

Many biological microswimmers can modulate their swimming gait to achieve directional control of motility, especially when performing steering towards specific directional cues. This can be achieved without the need for obvious morphological or structural asymmetries in the form...

Beyond Static Benchmarks: A Post-Leaderboard Evaluation Paradigm for Generative Music and Creative AI

Poster to be presented at the 2026 ACM AI Leadership Summit, Atlanta.

Multimodal 3D light-field and laser-speckle endoscopy

Minimally invasive surgery is a powerful technique that enables operations deep within the body while minimizing patient trauma and recovery time. Optical endoscopes are key to providing intraoperative vision but still face challenges due to the loss of essential senses, includin...

Synergistic influence of geogrid material and bio-inspired geometry on rutting performance

Geogrids are widely used to mitigate rutting in pavements; however, most prior studies have examined the effects of geogrid geometry and material independently. Insights from natural systems, such as spider webs, suggest that these factors can interact synergistically to influenc...

Statewide Empirical Analysis of Asphalt Pavement Performance and Service Life at Intersections

Abstract Intersections are consistently found to be among the most critical locations for pavement deterioration, yet large-scale empirical evidence quantifying their relationship with deterioration remains limited. This research conducts a comprehensive statewide empirical inves...

Predictive functional network connectivity signature of infancy age and eye-region fixation behavior

Functional connectivity (FC) has been established as a fundamental property of brain organization, intricately linked to both neurodevelopmental processes and the emergence of social behavior. Prior research has demonstrated that individual variability in brain age is associated...