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Mobile manipulation robots are continuously advancing, with their grasping capabilities rapidly progressing. However, there are still significant gaps preventing state-of-the-art mobile manipulators from widespread real-world deployments,…

In this paper we present a visual servoing approach to the problem of object grasping and more generally, to the problem of aligning an end-effector with an object. First we extend the method proposed by Espiau et al. [1] to the case of a…

Robotics · Computer Science 2023-11-22 Radu Horaud , Fadi Dornaika , Bernard Espiau

The first step for any graph signal processing (GSP) procedure is to learn the graph signal representation, i.e., to capture the dependence structure of the data into an adjacency matrix. Indeed, the adjacency matrix is typically not known…

Information Theory · Computer Science 2021-09-21 Jari Miettinen , Sergiy A. Vorobyov , Esa Ollila

We describe a novel approach for exploring, visualizing and modelling of complex textile structures. We show this approach in action for the exploration of weft-knitted spacer fabrics. The modelling tools are readily available and represent…

Computers and Society · Computer Science 2022-06-02 Suzanne Oude Hengel , Loe Feijs

Grasp planning and most specifically the grasp space exploration is still an open issue in robotics. This article presents a data-driven oriented methodology to model the grasp space of a multi-fingered adaptive gripper for known objects.…

Robotics · Computer Science 2021-09-20 Clément Rolinat , Mathieu Grossard , Saifeddine Aloui , Christelle Godin

The interest in explainability in artificial intelligence (AI) is growing vastly due to the near ubiquitous state of AI in our lives and the increasing complexity of AI systems. Answer-set Programming (ASP) is used in many areas, among them…

Artificial Intelligence · Computer Science 2023-08-31 Tobias Geibinger

Current applications have produced graphs on the order of hundreds of thousands of nodes and millions of edges. To take advantage of such graphs, one must be able to find patterns, outliers and communities. These tasks are better performed…

Social and Information Networks · Computer Science 2015-05-29 Jose F. Rodrigues , Hanghang Tong , Jia-Yu Pan , Agma J. M. Traina , Caetano Traina , Christos Faloutsos

The robot manipulation ecosystem currently faces issues with integrating open-source components and reproducing results. This limits the ability of the community to benchmark and compare the performance of different solutions to one another…

Robotics · Computer Science 2025-04-10 Brian Flynn , Kostas Bekris , Berk Calli , Aaron Dollar , Adam Norton , Yu Sun , Holly Yanco

We report on a half-semester course focused around implementation of type systems in programming languages. The course assumes basics of classical compiler construction, in particular, the abstract syntax representation, the Visitor…

Programming Languages · Computer Science 2024-07-12 Abdelrahman Abounegm , Nikolai Kudasov , Alexey Stepanov

Draco introduced a constraint-based framework to model visualization design in an extensible and testable form. It provides a way to abstract design guidelines from theoretical and empirical studies and applies the knowledge in automated…

Human-Computer Interaction · Computer Science 2023-08-29 Junran Yang , Péter Ferenc Gyarmati , Zehua Zeng , Dominik Moritz

Grasping is a complex process involving knowledge of the object, the surroundings, and of oneself. While humans are able to integrate and process all of the sensory information required for performing this task, equipping machines with this…

Robotics · Computer Science 2017-01-12 Matthew Veres , Medhat Moussa , Graham W. Taylor

Understanding student difficulties in programming is a complex challenge due to the wide range of topics and the abundant varieties of misconceptions and errors. This paper presents the design and development of a fine-grained taxonomy that…

Computers and Society · Computer Science 2026-05-27 Dimitri Eckert , Christian Kautz

Vision-language process reward models (VL-PRMs) are increasingly used to score intermediate reasoning steps and rerank candidates under test-time scaling. However, they often function as black-box judges: a low step score may reflect a…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Junxin Wang , Dai Guan , Weijie Qiu , Zhihang Li , Yongbo Gai , Zhengyi Yang , Mengyu Zhou , Erchao Zhao , Xiaoxi Jiang , Guanjun Jiang

Developing an algorithm for a visualization prototype often involves the direct comparison of different development stages and design decisions, and even minor modifications may dramatically affect the results. While existing development…

Software Engineering · Computer Science 2020-01-08 Fabian Bolte , Stefan Bruckner

Bringing the benefits of gradual typing to a language with parametric polymorphism like System F, while preserving relational parametricity, has proven extremely challenging: first attempts were formulated a decade ago, and several designs…

Programming Languages · Computer Science 2020-06-01 Elizabeth Labrada , Matías Toro , Éric Tanter

This paper describes work carried out on a model for the evolution of graph classes in complex objects. By defining evolution rules and propagation strategies on graph classes, we aim to define a user-definable means to manage data…

Software Engineering · Computer Science 2018-02-23 Mourad Oussalah

Vector programming is an important topic in many Introduction to Computer Science courses. Despite the importance of vectors, learning vector programming is a source of frustration for many students. Much of the frustration is rooted in…

Data Structures and Algorithms · Computer Science 2019-06-28 Marco T. Morazán

These notes present some extensions of a formal method introduced in an earlier paper. The formal method is designed as a tool for program verification of numerical computation and forms the basis of the software package VPC. Included in…

Logic in Computer Science · Computer Science 2014-11-21 Garry Pantelis

LLM agents acting in structured environments fail in operational rather than conversational ways, and reliability depends on procedural knowledge of the environment. Prior self-improvement methods accumulate natural-language guidance…

Artificial Intelligence · Computer Science 2026-05-29 Johannes Moll , Jean-Philippe Corbeil , Jiazhen Pan , Martin Hadamitzky , Daniel Rueckert , Lisa Adams , Keno Bressem

In a real-world setting, visual recognition systems can be brought to make predictions for images belonging to previously unknown class labels. In order to make semantically meaningful predictions for such inputs, we propose a two-step…

Machine Learning · Computer Science 2017-08-29 Vincent P. A. Lonij , Ambrish Rawat , Maria-Irina Nicolae