Results 91 to 100 of about 175,847 (284)

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

A Survey of GPU Implementations for Hyperspectral Image Classification in Remote Sensing

Canadian Journal of Remote Sensing, 2018
Effective classification algorithm is a key to extracting interesting and useful information from hyperspectral images (HSI). Many researchers have worked on developing effective algorithms for HSI classifications and research is still ongoing to improve
Ayomide Yusuf, Shadi Alawneh
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

Heterogeneous Parallel Computing and Performance Optimization for DSMC/PIC Coupled Simulation Based on MPI+CUDA [PDF]

Jisuanji kexue
DSMC/PIC coupled simulation is an important high-performance computing application that demands efficient parallel computing for large-scale simulations.Due to the dynamic injection and migration of particles,DSMC/PIC coupled simulations based on MPI ...
LIN Yongzhen, XU Chuanfu, QIU Haozhong, WANG Qingsong, WANG Zhenghua, YANG Fuxiang, LI Jie
doaj   +1 more source

MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation

Advanced Robotics Research, EarlyView.
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich, Yanda Yang, Subrahmanyam Cherukumilli, Fatma Ceren Kirmizitas, Sambeeta Das   +4 more
wiley   +1 more source

Multi-GPU hybrid programming accelerated three-dimensional phase-field model in binary alloy

AIP Advances, 2018
In the process of dendritic growth simulation, the computational efficiency and the problem scales have extremely important influence on simulation efficiency of three-dimensional phase-field model.
Changsheng Zhu, Jieqiong Liu, Mingfang Zhu, Li Feng   +3 more
doaj   +1 more source

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

Computers, 2013
The increasing incorporation of Graphics Processing Units (GPUs) as accelerators has been one of the forefront High Performance Computing (HPC) trends and provides unprecedented performance; however, the prevalent adoption of the Single-Program Multiple ...
Teng Li, Vikram K. Narayana, Tarek El-Ghazawi   +2 more
doaj   +1 more source

GPU@BU—GPU computing at Boston University

, 2012
A short history of GPU computing at Boston University, made into a handout for the BU booth at the Supercomputing Conference, Salt Lake City, November 2012.
openaire   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source