Modular robot networking: a novel schema and its performance assessment

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Deploying consensus protocols in the wide-area is challenging due to unpredictable and adversarial nature of wide-area networks. This thesis explores five critical challenges that affect the operation of consensus protocols in the wide-area networks; (1) p ...

Integrating rich cutaneous haptic feedback enhances realism and user immersion in virtual and augmented reality settings. One major challenge is providing accurately localized cutaneous stimuli on fingertips without interfering with the user's dexterity. T ...

IntroductionThis study presents COVID-Twitter-BERT (CT-BERT), a transformer-based model that is pre-trained on a large corpus of COVID-19 related Twitter messages. CT-BERT is specifically designed to be used on COVID-19 content, particularly from social me ...

Graphs processing has become an important part of various areas of computing, including machine learning, medical applications, social network analysis, computational sciences, and others. A growing amount of the associated graph processing workloads are d ...

We consider distributed optimization over several devices, each sending incremental model updates to a central server. This setting is considered, for instance, in federated learning. Various schemes have been designed to compress the model updates in orde ...

Many blockchain-based algorithms, such as Bitcoin, implement a decentralized asset transfer system, often referred to as a cryptocurrency. As stated in the original paper by Nakamoto, at the heart of these systems lies the problem of preventing double-spen ...

Today we live in a digital society that requires the acquisition of new skills related to computer science, such as computational thinking or coding skills, as well as cross-curricular skills, such as communication, collaboration and creativity. A possible ...

We present a bootstrapping procedure for the full-RNS variant of the approximate homomorphic-encryption scheme of Cheon et al., CKKS (Asiacrypt 17, SAC 18). Compared to the previously proposed procedures (Eurocrypt 18 & 19, CT-RSA 20), our bootstrapping pr ...

We present a method for making neural network predictions robust to shifts from the training data distribution. The proposed method is based on making predictions via a diverse set of cues (called 'middle domains') and ensembling them into one strong predi ...

Automated systems based on wearable sensors for livestock monitoring are becoming increasingly popular. Specifically, wireless in-body sensors could yield relevant data, such as ruminal temperature. The collection of such data requires an accurate characte ...

Entity linking is an important problem with many applications. Most previous solutions were designed for settings where annotated training data is available, which is, however, not the case in numerous domains. We propose a light-weight and scalable entity ...

Personality is one of the most important factors in human interactions, which retains its importance in human robot interactions with social robots. This work focusses on the varied linguistic strategies which characterize the personality traits of extrave ...

Gait emergence and adaptation in animals is unmatched in robotic systems. Animals can create and recover locomotive functions "on-the-fly" after an injury whereas locomotion controllers for robots lack robustness to morphological changes. In this work, we ...

Tall structures such as wind turbines and mobile phone base stations are often installed in remote and hilly locations to gain more power or to have line of sight to end users. Those locations are usually very rocky and characterized by a low-conductivity ...

While phi-divergences have been extensively studied in convex analysis, their use in optimization problems often remains challenging. In this regard, one of the main shortcomings of existing methods is that the minimization of phi-divergences is usually pe ...

Humans use a variety of modifiers to enrich communications with one another. While this is a deliberate subtlety in our language, the presence of modifiers can cause problems for emotion analysis by machines. Our research objective is to understand and com ...

Every robotic gripper requires an equilibrated solution towards the grasp adaptability, precision, and load bearing capacity. A versatile soft robotic gripper requires adjustable grasp mode, for objects with different sizes and shapes, and adjustable compl ...

Ultra-Wideband Impulse Radio (UWB-IR) is a technology that has great potential to solve numerous mobile robotic and asset tracking problems in GPS-denied environments. Our goal is to help software and hardware designers in improving the state-of-the-art in ...

We propose an experimental study where simplistic organ- isms rise from inanimate matter and evolve solely through physical interactions. These organisms are composed of three types of macroscopic building blocks floating in an agitated medium. The dynamis ...

We consider the scenario where a group of wireless nodes want to exchange a secret key, such that no eavesdropper can guess the key. Today, this can be achieved using publickey cryptography, e.g., the Diffie-Hellman or the RSA keyexchange algorithms. Howev ...

Modular robot networking: a novel schema and its performance assessment

Chattez avec Graph Search

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Grasp mode and compliance control of an under-actuated origami gripper using adjustable stiffness joints

Modeling and Benchmarking Ultra-Wideband Localization for Mobile Robots

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Erased Secrets: Practical Information-Theoretic Group Secrecy