Experience full platform power on your desktop or through our specialized discovery engine.

v2.5 StablePikory 2026
Discovery Intelligence

#Simulation Modeling

Total Volume
Discovery Velocity
High
Initial Sampling
12 Items
Hashtag StatsBased on recent activity
Total Posts
Avg. Views
58,293
Best Performing Reel View
257,401 Views
Analyzed Creators
6
Performance Context
Initial Batch12 reels analyzed

Trending Feed

12 posts loaded

Learn the basics of modeling and simulation, including the t
156

Learn the basics of modeling and simulation, including the three types of models—physical, virtual, and mathematical—and the three types of simulations: live, virtual, and constructive. Watch the full video on the MATLAB YouTube Channel. #Simulink #MATLAB #ModelingAndSimulation #SystemsEngineering #EngineeringDesign

Dynamic Modeling of a 2-DOF Robotic Manipulator in MATLAB Si
257,401

Dynamic Modeling of a 2-DOF Robotic Manipulator in MATLAB Simscape Multibody From mathematical equations → physical robot motion ⚙️ This project demonstrates a complete robotics workflow combining CAD design, Lagrange dynamics, and physics-based simulation inside MATLAB & Simscape Multibody. ➡ CAD-based robotic arm model (SLDPRT & STEP included) ➡ Lagrange dynamic formulation (T, V, L = T − V) ➡ Mass, Coriolis & Gravity matrices implementation ➡ Realistic multibody simulation under gravity ➡ Engineering-grade visualization & motion analysis ✨ Why this matters: Most simulations only animate motion — this model simulates how a robot actually behaves using real dynamics and physics laws. This is the foundation behind industrial robots, automation systems, and advanced robotics research. 📚 Perfect for: • Robotics students • Mechatronics engineers • Control systems learners • Research & thesis projects 💡 Built for learning robot dynamics the practical way. Comment "2DOF" I will share you complete project details #Robotics #RobotDynamics #MATLAB #Simscape #Simulink #RobotArm #EngineeringStudent #Mechatronics #ControlSystems #RoboticsEngineering #STEM #EngineeringProjects #Automation #RobotSimulation #MechanicalEngineering #CADDesign #SolidWorks #EngineeringReels #TechReels #LearnEngineering

2-DOF Robot Manipulator in Simulink Simscape 

Ever wondered
15,195

2-DOF Robot Manipulator in Simulink Simscape Ever wondered how robot arms actually move? This project breaks it down visually 👇 🔹 2-DOF planar manipulator 🔹 Designed in MATLAB Simulink 🔹 Powered by Simscape Multibody 🔹 DH Parameters based modeling 🔹 Forward Kinematics (XYZ end-effector) 🔹 Smooth real-time 3D animation Perfect for robotics, mechatronics & automation students who want to understand, not just memorize. 📌 Full project available for learning & practice 📌 Clean, educational & extendable model 💬 Comment “ROBOT” if you want this project 📤 Save this post for later ❤️ Follow for more MATLAB & robotics content #Robotics #RobotArm #MATLAB #Simulink #Simscape #Mechatronics #Automation #EngineeringStudents #STEM #RoboticsEngineering #MechanicalEngineering #ControlSystems #TechProjects @matlab @mathworks

Dynamic Modeling and Simulation of 6 DOF Robotic Arm in MATL
404

Dynamic Modeling and Simulation of 6 DOF Robotic Arm in MATLAB Simscape #matlab #simulation #mechanic #system #robotics @matlab @mathworks @yaskawa_europe @engineerrinng

How to create a region using PMI. This is a component of Mod
122

How to create a region using PMI. This is a component of Model Based Definition ➳ For business inquiries, contact us at designvisionaries.com/contact ➳ If you enjoyed this video and want to see others like it, subscribe, like, and leave a comment ➳Join this channel to get access to perks: https://www.youtube.com/channel/UCpTxWDBE8lI_rGth9ddtzPA/join #siemens #CAD #engineering #engineer #siemensnx #nx #education #tutorial #science #stem #mechanical #mechanism #mechanicalengineering #education #model #3d #3dmodel #design #manufacturing

4 DOF Dual Robotic Arm Pick & Place Simulation in MATLAB

Fr
68,120

4 DOF Dual Robotic Arm Pick & Place Simulation in MATLAB From inverse kinematics → coordinated dual-arm manipulation 🤖⚙️ This project demonstrates a complete robotic pick-and-place workflow using dual 4-DOF manipulators performing synchronized object handling in a 3D workspace. ➡ Dual-arm coordinated motion planning ➡ Analytical inverse kinematics implementation ➡ DH-parameter based kinematic modeling ➡ Smooth trajectory interpolation ➡ Real-time 3D animation & visualization ➡ Cube, sphere & cylinder object manipulation ➡ Automated simulation video generation ✨ Why this matters: Most robotic simulations show only single-arm motion. This project demonstrates coordinated dual-arm manipulation — a concept used in industrial automation, collaborative robots, and advanced robotic assembly systems. This is the foundation behind warehouse automation, manufacturing robots, and intelligent manipulation systems. 📚 Perfect for: • Robotics students • Mechatronics engineers • Automation learners • Final year projects • Research & thesis demonstrations 💡 Built to understand robotic kinematics and coordinated motion the practical way. Comment "DualArm" and I’ll share the complete project details. #Robotics #RobotArm #MATLAB #RobotSimulation #InverseKinematics #Automation #Mechatronics #EngineeringStudent #RoboticsEngineering #PickAndPlace #STEM #ControlSystems #EngineeringProjects #TechReels #LearnEngineering

Witnessing a true gem of a modeling tip shared by PerfectMan
110

Witnessing a true gem of a modeling tip shared by PerfectManus! Navigating Boolean operations in Autodesk Maya 2025—Union, Difference, Intersection—is one thing, but understanding *why* your cuts look jagged is another. The key insight revealed here? You must ensure your base geometry has enough 'backbone' to actually *retain* the shape you intend after a Boolean operation. If you're cutting holes or creating complex split edges, paying attention to the resulting geometry structure is the difference between a clean model and a topology nightmare. Essential viewing for mastering complex shapes in Maya! #Maya3D #BooleanModeling #3DModelingTips #Maya2025 #PerfectManus

Stop Manually Syncing Models! Use This Wave PMI Trick

Tired
177

Stop Manually Syncing Models! Use This Wave PMI Trick Tired of manual annotations slowing down your workflow? In this video, we dive deep into the Wave PMI linker technique. Whether your models are in early development or full production, this powerful method allows you to automate and streamline the annotation process across different stages. Save hours of manual labor and improve your model accuracy with this essential AI workflow hack! ➳ If you enjoyed this video and want to see others like it, subscribe, like, and leave a comment ➳Join this channel to get access to perks: https://www.youtube.com/channel/UCpTxWDBE8lI_rGth9ddtzPA/join #siemens #CAD #engineering #engineer #siemensnx #nx #education #tutorial #science #stem #mechanical #mechanism #mechanicalengineering #education #model #3d #3dmodel #design #manufacturing

The secret to flawless hard-surface modeling often lies in t
154

The secret to flawless hard-surface modeling often lies in these subtle topology details! Witness the game-changing difference between Maya's 'Split Edges' and 'Cutout' functions. One carves a line on a single surface, leaving the shape unified, while the other actually divides the shared area without closing off the resulting gaps. Understanding this distinction is crucial for clean Boolean workflows in Autodesk Maya 2025. Stop fighting your geometry—master the technique explained here! #Maya3D #TopologyTips #BooleanOperations #3DModeling #MayaTutorial

If I had to learn MATLAB from scratch, this is what I’d focu
207,847

If I had to learn MATLAB from scratch, this is what I’d focus on. These skills will actually build your foundation and give you something real to show in a portfolio. ‼️They’ll help you stand out for modeling & simulation roles, controls, and GNC — and show that you don’t just know how to code in MATLAB, but how to design and test complex systems. → Scripts & functions — learn arrays, plotting, debugging, all the basics → Control System Toolbox — tf, ss, Bode plots, margins… → Simulink — to design models from the plant + controller all the way to high-fidelity simulations → Stateflow — add logic, modes, and “if this then that” behavior → PID Tuner / Autotuner — get clean gains without guessing → Test Harness + Test Manager — unit-test models and verify system requirements → SIL / PIL — make sure your code matches your model → Simulation Data Inspector — compare runs side by side fast → Embedded Coder — generate code and put it on hardware (HIL, system/subsystem testing) → Reinforcement / Deep Learning Toolbox — train your models ‼️To get started with MATLAB or controls, comment “MATLAB” and I’ll send you the link to my page with resources and project ideas. . . . . . . . . . #student #college #engineering engineer #ingenieria #ingeniero #ingeniera #studentlife #engineeringstudent #stemadvocate #stem #aerospace #resume #womeninstem #firstgen #mechanicalengineering #spacenerd #girlboss engineer, engineering, women in stem, STEM, ingeniera, student life, aerospace, tech #matlab #mathworks

Witness the secret to achieving perfectly clean gaps and int
121

Witness the secret to achieving perfectly clean gaps and intricate cutouts in your 3D models! PerfectManus breaks down the *right* way to utilize Boolean operations in Autodesk Maya 2025. Ever struggle with turning a simple cube into something complex with precise circular holes or segmented shapes? This is the masterclass you need. Discover the nuances between Union, Difference, and Intersection, learn essential techniques like Slice and Hole Punch, and finally conquer those common pitfalls for model topology that *actually* works. A must-see for any beginner or intermediate 3D artist looking to seriously level up their hard-surface game. #Maya3D #BooleanOperations #3DTutorial #PerfectManus #HardSurfaceModeling #Maya2025

3-DOF Robotic Arm Kinematics & PID Trajectory Tracking in MA
149,709

3-DOF Robotic Arm Kinematics & PID Trajectory Tracking in MATLAB ➡ User-selectable trajectories: Circle, Infinity (∞), Rectangle, Helix ➡ Analytical Inverse Kinematics with smooth configuration selection ➡ Forward Kinematics with real-time 3D visualization ➡ PID-based joint control for precision tracking ➡ Live end-effector path tracing & motion analysis ✨ Why this matters: Understanding the relationship between joint angles and end-effector motion is fundamental in robotics. From automation and pick-and-place systems to advanced AI-driven manipulators, accurate kinematic modeling and PID control are the backbone of intelligent robotic systems. This simulation not only visualizes robotic motion but also demonstrates real-time trajectory tracking, control stability, and smooth joint coordination, making it ideal for learning and research. 📊 Key Highlights: PID-tuned joints for smooth, stable motion ✅ Correct DH parameters (α₁ = 90°, α₂ = 0°, α₃ = 0°) Realistic 3D animation with color-coded links & joints Trajectory generation with adjustable resolution MP4 video export for presentations & documentation 💡 Future Potential: This project can be extended to: ➡ Obstacle avoidance & path planning ➡ AI / optimization-based trajectory control ➡ ROS integration & hardware implementation ➡ Adaptive or intelligent control systems 🔗 For students, engineers & robotics enthusiasts: This is a ready-to-run MATLAB project for mastering robot kinematics, PID control, and trajectory tracking in a practical way. 🔁 Repost to support robotics innovation! 🔁 #3DOFRobot #RobotArm #Robotics #RobotKinematics #ForwardKinematics #InverseKinematics #PIDControl #TrajectoryTracking #MATLAB #MATLABRobotics #Automation #Mechatronics #ControlSystems #EngineeringLife #STEM #RoboticsEngineering #3DSimulation #RobotSimulation #AIinRobotics #EngineeringProjects

Top Creators

Most active in #simulation-modeling

Semantic Clustering

Reels Graph Intelligence.

Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #simulation-modeling ecosystem.

Strategic Implementation

Our semantic engine has identified these specific pattern clusters as high-affinity matches for #simulation-modeling. Integrated usage of #simulation-modeling with strategic Reels tags like #modeling and simulation and #simule is statistically linked to a significant increase in initial Reels discovery velocity.

In-Depth Hashtag Analysis: #simulation-modeling

Expert Review • June 5, 2026 • Based on 12 Reels

Executive Overview

#simulation-modeling is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 699,516 views— demonstrating healthy engagement activity within this content vertical. The top creator ecosystem features 6 notable accounts, led by @engrprogrammer2494 with 490,425 total views. The hashtag's semantic network includes 91 related keywords such as #modeling and simulation, #simule, #simulated, indicating its position within a broader content cluster.

Avg. Views / Reel
58,293
699,516 total
Viral Ceiling
257,401
Best Performing Reel
Unique Creators
6
12 reels analyzed

Viewership & Reach Analysis

The 12 reels in this dataset have generated a combined 699,516 views, translating to an average of 58,293 views per reel. This strong average viewership suggests healthy algorithmic distribution. Reels using this hashtag are reliably reaching audiences interested in this niche.

Top Performing Reel

The highest-performing reel in this dataset received 257,401 views. This viral outlier performance is 442% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.

Content Overview & Top Creators

The #simulation-modeling ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 6 distinct accounts contributing to the trending feed. The top creator, @engrprogrammer2494, has contributed 4 reels with a total viewership of 490,425. The top three creators — @engrprogrammer2494, @engineersteatime, and @han_dynamic — together account for 99.9% of the total views in this dataset. The semantic network of #simulation-modeling extends across 91 related hashtags, including #modeling and simulation, #simule, #simulated, #modelling and simulation. Creators often use these tags together to reach overlapping audiences.

Discoverability & Reach Potential

The discoverability metrics for #simulation-modeling indicate an active content ecosystem. The average of 58,293 views per reel demonstrates consistent audience reach. For creators using #simulation-modeling, posting consistently with trending audio and relevant angles will help you get noticed.

Analyst Verdict

#simulation-modeling demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 58,293 views per reel, the viewership metrics position this hashtag as a reliable reach driver. Creators like @engrprogrammer2494 and @engineersteatime are leading the charge, setting viewership benchmarks for the community.

Frequently Asked Questions

Everything about #simulation-modeling on Instagram

Frequently Asked Questions

How popular is the #simulation modeling hashtag?

Currently, #simulation modeling has over — public posts on Instagram. It is a highly active community focus area for creators and brands.

Can I download reels from #simulation modeling anonymously?

Yes, Pikory allows you to view and download public reels tagged with #simulation modeling without an account and without notifying the content creators.

What are the most related tags to #simulation modeling?

Based on our semantic analysis, tags like #simulation models, #ising model monte carlo simulation, #of model simulator fan management are frequently used alongside #simulation modeling.
#simulation modeling Instagram Discovery & Analytics 2026 | Pikory