This paper introduces a systematic constraint-based approach to specify complex tasks of general sensor-based robot systems consisting rigid links and joints. The integrates both instantaneous task specification estimation geometric uncertainty in unified framework. Major components are the use feature coordinates, defined with respect object frames, which facilitate specification, introduction coordinates model uncertainty. While focus is on an existing velocity- based control scheme...

This paper presents LISSA ("Learning dashboard for Insights and Support during Study Advice"), a learning analytics designed, developed, evaluated in collaboration with study advisers. The overall objective is to facilitate communication between advisers students by visualizing grade data that commonly available any institution. More specifically, the attempts support dialogue adviser student through an overview of progress, peer comparison, triggering insights based on facts as starting...

Learning analytics dashboards are at the core of LAK vision to involve human into decision-making process. The key focus these is support better sense-making and by visualising data about learners a variety stakeholders. Early research on learning focused use visualisation prediction techniques demonstrates rich potential in settings. Present increasingly uses participatory design methods tailor needs stakeholders, employs multimodal acquisition techniques, starts theoretical underpinnings...

This paper presents a case study on the adoption and impact of new modules in learning analytics dashboard supporting dialogue between student advisors students when advising plan for next academic semester Escuela Superior Politecnica del Litoral, higher education institute Ecuador. The were assessed using mixed‐methods approach. quantitative approach builds data 172 34 programs 4481 sessions 2019 (post) 4747 2018 (pre) to assess use dashboard, level support experienced by advisors,...

Aim This study aims to achieve an international expert consensus on joint patterns during gait for children with cerebral palsy ( CP ) by means of Delphi surveys. Method In Stage 1, seven local experts drafted a preliminary proposal kinematic each lower limb in the sagittal, coronal, and transverse plane. 2, 13 from eight laboratories (four USA four Europe), participated study. Consensus was defined pre‐set cut‐off point 75% agreement among participants. Results After first stage, 44 were...

Experts recently identified 49 joint motion patterns in children with cerebral palsy during a Delphi consensus study. Pattern definitions were therefore the result of subjective expert opinion. The present study aims to provide objective, quantitative data supporting identification these consensus-based patterns. To do so, statistical parametric mapping was used compare mean kinematic waveforms 154 trials typically developing (n = 56) 1719 356), which classified following classification...

This paper presents the application of a Bayesian nonparametric time-series model to process monitoring and fault classification for industrial robotic tasks. By means an alignment task performed with real robot, we show how proposed approach allows learn set sensor signature models encoding spatial temporal correlations among wrench measurements recorded during number successful executions. Using these models, it is possible detect continuously on-line deviations from expected readings....

This paper presents a model that closely approximates the generalized Maxwell-Slip (GMS) model, multistate friction known to describe all essential characteristics in presliding and sliding motion. In contrast GMS which consists of switching structure accommodate for its hybrid nature, new referred as smoothed (S-GMS) an analytic set differential equations. Such is well suited gradient-based state parameter estimation, extended Kalman filter (EKF) or moving horizon estimation. Similar S-GMS...

Abstract Despite the success of academic advising dashboards in several higher educational institutions (HEI), these are still under‐explored Latin American HEI's. To close this gap, three different universities adapted an existing dashboard, originally deployed at KU Leuven to their own context. In all cases, context was main ruling factor adaptations. paper, we describe adaptions using a framework that focuses on four elements context: Objectives, Stakeholders, Key moment and Interactions....

We introduce a probabilistic language and fast inference algorithm for state estimation in hybrid dynamic relational domains with an unknown number of objects. More specifically, we apply Particle Filters to distributional clauses. The particles represent (partial) interpretations possible worlds (with discrete and/or continuous variables) the filter recursively updates its beliefs about current state. use backward reasoning determine which facts should be included partial interpretations....

This paper proposes a novel online two-level multitarget tracking and detection (MTTD) algorithm. The algorithm focuses on for the case of multiple measurements per target an unknown varying number targets. Information is continuously exchanged in both directions between two levels. Using high level position shape information, low clusters measurements. Furthermore, features automatic relevance (ARD), as it automatically determines optimal from taking into account expected shapes. level's...

This tutorial explicitly states the semantics of all coordinate- invariant properties and operations, and, more importantly, choices that are made in coordinate representations these geometric relations. results a set concrete suggestions for standardizing terminology notation, allowing programmers to write fully unambiguous software interfaces, including automatic checks semantic correctness operations on rigid-body representations. A proposal community-driven standardization via Robot...

This paper presents an evaluation of a learning dashboard that supports the dialogue between student and study advisor. The was designed, developed, evaluated in collaboration with advisers. To ensure scalability to other contexts, uses data is commonly available at any higher education institute. It visualizes grades student, overview progress through year, his/her position comparison peers, sliders plan next years prediction length bachelor program for this based on historic data. deployed...

In this study, we present a case study involving two self-service dashboards providing feedback on learning and skills academic achievement. These were offered to first-year university students in several programmes Flanders, Belgium. Data for collected using usage tracking (N = 2875) survey taken at the beginning of second year before 484) after 538) introduction dashboards. We found that early dashboard is related achievement later students' review received first improved. Although these...