Results 71 to 80 of about 716,395 (290)

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Aplicación móvil offline para la difusión y revitalización del patrimonio de Malqui Machay

NOVASINERGIA
El objetivo de la presente investigación, fue implementar una aplicación móvil offline para difundir y realzar el patrimonio de mil años de antigüedad de Malqui Machay del cantón La Maná, provincia de Cotopaxi, ubicada en una zona rural sin acceso a ...
Geovanny Euclides Silva Peñafiel, Jenny Alexandra Nuñez Villacis, Joffre Fabian Asadobay Escobar, Washington Ramiro Bonilla Vimos   +3 more
doaj   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent

Frontiers in Neuroinformatics, 2017
The aim of this work was to design a personalized BCI model to detect pedaling intention through EEG signals. The approach sought to select the best among many possible BCI models for each subject.
Marisol Rodríguez-Ugarte, Eduardo Iáñez, Mario Ortíz, Jose M. Azorín   +3 more
doaj   +1 more source

The ecology of social interactions in online and offline environments [PDF]

, 2016
The rise in online social networking has brought about a revolution in social relations. However, its effects on offline interactions and its implications for collective well-being are still not clear and are under-investigated.
Antoci, Angelo, Delfino, Alexia, Paglieri, Fabio, Sabatini, Fabio   +3 more
core   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

System-Level Offline Time Synchronization Architecture for Distributed Electrical Signal Monitoring Using Raspberry Pi 5

Sensors
Accurate time synchronization is essential in distributed electrical signal monitoring, where phase coherence and event correlation depend on precise timing agreement between acquisition nodes.
Adriana Burlibaşa, Silviu Epure, Mihai Culea, Cristinel Radu Dache, Cristian Victor Lungu, George-Andrei Marin, Ciprian Vlad   +6 more
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Conference Note: Offline Exclusion, Online Inclusion?

Journal for Deradicalization, 2022
On April 14, 2022, the DRIVE project (Determining multilevel-led causes and testing intervention designs to reduce radicalisation, extremism and political violence in North-Western Europe through social inclusion) workshop was an opportunity for ...
Tessa Cuppens
doaj