Concept

Object composition

Related publications (32)

Automatic Acquisition of a Repertoire of Diverse Grasping Trajectories through Behavior Shaping and Novelty Search

Grasping a particular object may require a dedicated grasping movement that may also be specific to the robot end-effector. No generic and autonomous method does exist to generate these movements without making hypotheses on the robot or on the object. Lea ...

IEEE2022

Effects of item distinctiveness on the retrieval of objects and object-location bindings from visual working memory

Yury Markov

Visual working memory (VWM) is prone to interference from stored items competing for its limited capacity. Distinctiveness or similarity of the items is acknowledged to affect this competition, such that poor item distinctiveness causes a failure to discri ...

2022

Every Elementary Higher Topos Has A Natural Number Object

Nima Rasekh

We prove that every elementary (infinity, 1)-topos has a natural number object. We achieve this by defining the loop space of the circle and showing that we can construct a natural number object out of it. Part of the proof involves showing that various de ...

2021

A framework to automate the design of digitally-fabricated timber plate structures

Yves Weinand, Nicolas Henry Pierre Louis Rogeau, Aryan Rezaei Rad, Petras Vestartas, Henry V. Burton

The current study uses knowledge from digital architecture, computer science, engineering informatics, and structural engineering to formulate an algorithmic framework for integrated Computer-Aided Design (CAD) and Computer-Aided Engineering (CAE) of Integ ...

2020

A Type-and-Effect System for Object Initialization

Martin Odersky, Fengyun Liu, Paolo Giosuè Giarrusso, Ondrej Lhoták

Every newly created object goes through several initialization states: starting from a state where all fields are uninitialized until all of them are assigned. Any operation on the object during its initialization process, which usually happens in the cons ...

2020

A Type-and-Effect System for Object Initialization

Martin Odersky, Fengyun Liu, Paolo Giosuè Giarrusso, Ondrej Lhoták

ASSOC COMPUTING MACHINERY2020

Inferring Assembly Objects and Sequences from Demonstrations

Mahdi Nobar

Various unsupervised learning algorithms including GMM, Birch, Mean- Shift, K-means and DBSCAN were used to cluster the image and depth sensor data. However, it was not possible to ﬁt the clusters on each objects quite separately in as much as data are too ...

2019

A Novel Approach to Modeling Enterprise Services Leveraging Object Cloning and Multilevel Classification

Alain Wegmann, Lam Son Lê

Object-oriented modeling is concerned with capturing common properties of objects. The dominant thinking in this realm is to classify objects that share certain properties into what is called a class, which in turn enables us to instantiate additional obje ...

IEEE2019

Training Algorithms for Multiple Object Tracking

Andrii Maksai

Multiple object tracking is a crucial Computer Vision Task. It aims at locating objects of interest in the image sequences, maintaining their identities, and identifying their trajectories over time. A large portion of current research focuses on tracking ...

EPFL2019

The effect of “objecthood” in the Ebbinghaus illusion

Michael Herzog, Aline Françoise Cretenoud, Einat Rashal

In the Ebbinghaus illusion, observers overestimate the size of a target when it is surrounded by large flakers and compared with a control target surrounded by small flankers. We examined whether “objecthood” – the degree to which an object is a cohesive e ...

2017

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