Effectiveness of Using Remote Laboratory in Promoting Simulation and Verification Tools
- URL: http://arxiv.org/abs/2607.10900v1
- Date: Sun, 12 Jul 2026 20:00:25 GMT
- Title: Effectiveness of Using Remote Laboratory in Promoting Simulation and Verification Tools
- Abstract summary: The transition to remote learning during the pandemic has necessitated the development of new methods for conducting hands-on experiments.<n>One significant challenge has been providing students with reliable and sustainable access to necessary hardware components.
- Score: 0.17188280334580197
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The transition to remote learning during the pandemic has necessitated the development of new methods for conducting hands-on experiments. One significant challenge in this transition has been providing students with reliable and sustainable access to necessary hardware components, particularly for courses that require substantial equipment. Additionally, industry partners have high expectations for students to be proficient in simulation and verification tools. To address these challenges, we implemented a virtual breadboard feature that allows students to remotely access Field Programmable Gate Array (FPGA) hardware and complete lab assignments. Our evaluation of this approach, which included surveys of students and industry partners, revealed that it effectively transformed a traditionally in-person lab assignment into an online modality. Furthermore, this paper presents the perspective of industry professionals on verification and simulation tools as a highly desirable skill in the industry, a skill that remote labs tend to emphasize which makes remote labs a viable educational solution that can continue to be utilized even after the pandemic.
Related papers
- FPGA Meets Breadboard: Integrating a Virtual Breadboard with Real FPGA Boards for Remote Access in Digital Design Courses [0.13048920509133807]
Students can access the boards remotely to complete their lab assignments.<n>Courses that entail major hardware components faced challenges in making the hardware available for students in a reliable and sustainable way.
arXiv Detail & Related papers (2026-07-12T19:50:56Z) - LabOSBench: Benchmarking Computer Use Agents for Scientific Instrument Control [46.674982266623196]
LabOSBench is a benchmark for multimodal GUI agents built on a suite of web-based scientific-instrument simulators.<n>We evaluate general-purpose vision-language models, specialized GUI agent models, and advanced agentic frameworks at both subtask and end-to-end levels.
arXiv Detail & Related papers (2026-06-15T14:42:33Z) - LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories [95.20367571157679]
Vision-Language-Action (VLA) models provide one possible interface between written protocols and robot execution.<n>Existing policies are trained mostly on household and tabletop demonstrations and rarely encounter the instruments, transparent liquids, or fixed protocol found in scientific laboratories.<n>We present LabVLA, trained with a two-stage recipe: FAST action token pretraining first makes the Qwen3-VL-4B-Instruct backbone action aware before any continuous control is learned, and flow matching posttraining then attaches a DiT action expert under knowledge insulation.
arXiv Detail & Related papers (2026-06-11T17:03:53Z) - Toward Full Autonomous Laboratory Instrumentation Control with Large Language Models [2.442497996114172]
Large language models (LLMs) can enable efficient programming and automation of scientific equipment.<n>We show how ChatGPT can facilitate the creation of custom scripts for instrumentation control, significantly reducing the technical barrier for experimental customization.<n>This approach underscores the transformative role of LLM-based tools and AI agents in democratizing laboratory automation and accelerating scientific progress.
arXiv Detail & Related papers (2026-03-25T22:01:45Z) - Sci-VLA: Agentic VLA Inference Plugin for Long-Horizon Tasks in Scientific Experiments [49.02509634515056]
Recent vision-language-action models offer a promising foundation for robotic laboratories.<n>Experiments typically involve long-horizon tasks composed of multiple atomic tasks.<n>While VLA models fine-tuned for scientific tasks can reliably execute atomic experimental actions, they often fail to perform composite tasks formed by reordering and composing these known atomic actions.
arXiv Detail & Related papers (2026-02-10T05:50:19Z) - VRISE: A Virtual Reality Platfrom for Immersive and Interactive Surveying Education [0.17975553762582286]
VRISE is an immersive virtual reality laboratory that replicates ground-based and aerial surveying tasks through customizable, accessible, and user-friendly modules.<n>VRISE features interactive experiences such as differential leveling with a digital level equipment and waypoint-based drone navigation, enhanced by input smoothing, adaptive interfaces, and real-time feedback to accommodate diverse learning styles.
arXiv Detail & Related papers (2025-07-30T16:27:51Z) - TeleOpBench: A Simulator-Centric Benchmark for Dual-Arm Dexterous Teleoperation [50.261933845325636]
We introduce TeleOpBench, a simulator-centric benchmark tailored to bimanual dexterous teleoperation.<n>Within this benchmark we implement four representative teleoperation modalities-(i) MoCap, (ii) VR device, (iii) arm-hand exoskeletons, and (iv) monocular vision tracking.
arXiv Detail & Related papers (2025-05-19T06:08:53Z) - MLXP: A Framework for Conducting Replicable Experiments in Python [63.37350735954699]
We propose MLXP, an open-source, simple, and lightweight experiment management tool based on Python.
It streamlines the experimental process with minimal overhead while ensuring a high level of practitioner overhead.
arXiv Detail & Related papers (2024-02-21T14:22:20Z) - Towards a low-cost universal access cloud framework to assess STEM
students [0.0]
Government-imposed lockdowns have challenged academic institutions to transition from traditional face-to-face education into hybrid or fully remote learning models.
This paper tailored and implemented a cloud deployment to provide universal access to online assessment of university students in a computer programming course.
arXiv Detail & Related papers (2024-01-31T09:45:41Z) - SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning [82.46975428739329]
We develop a library containing a sample efficient off-policy deep RL method, together with methods for computing rewards and resetting the environment.<n>We find that our implementation can achieve very efficient learning, acquiring policies for PCB board assembly, cable routing, and object relocation.<n>These policies achieve perfect or near-perfect success rates, extreme robustness even under perturbations, and exhibit emergent robustness recovery and correction behaviors.
arXiv Detail & Related papers (2024-01-29T10:01:10Z) - ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data
Format [88.33443450434521]
Task-oriented dialogue (TOD) systems function as digital assistants, guiding users through various tasks such as booking flights or finding restaurants.
Existing toolkits for building TOD systems often fall short of in delivering comprehensive arrays of data, models, and experimental environments.
We introduce ConvLab-3: a multifaceted dialogue system toolkit crafted to bridge this gap.
arXiv Detail & Related papers (2022-11-30T16:37:42Z) - Digital Twinning Remote Laboratories for Online Practical Learning [0.09786690381850356]
The COVID19 pandemic has demonstrated a need for remote learning and virtual learning applications such as virtual reality (VR) and tablet-based solutions.
Research has been undertaken into developing generic models to enable the semi-automatic creation of a virtual learning tools.
A case study describing the creation of a virtual learning application for an electrical laboratory tutorial has been presented.
arXiv Detail & Related papers (2021-12-01T16:55:58Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.