DEEPTICS ⛓️‍💥 DEEPHUB – Telegram
DEEPTICS ⛓️‍💥 DEEPHUB
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https://x.com/Deeptics_

Deeptics is a robotics–on–chain ecosystem that unifies robotic simulation, distributed job orchestration, and a licensed asset economy in one open, auditable network.
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Deeptics — Prototype Robotics Demo

We are proud to unveil the first live demo of our Deeptics Prototype Robotics — an early step in shaping the future of simulation-driven robotics powered by Proof-of-Simulation (PoSml).

This demo showcases a moving humanoid prototype, built within the Deeptics simulation environment, emphasizing our focus on precision, adaptability, and verifiable robotics computation.

This is an early showcase, representing how Deeptics is integrating virtual robotics, simulation auditability, and AI-driven adaptability. Each step forward reinforces our mission:
To create a verifiable, trust-anchored robotics ecosystem for the next era of intelligent agents.

Stay tuned as we continue to expand this prototype into a more advanced Deeptics Robotics Suite, bringing together simulation.
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Deeptics | DexTools 🪙

With respect, we’re pleased to announce that Dextools has been updated for Deeptics.

🪙https://www.dextools.io/app/en/token/deeptics?t=1759399673472

Slow and steady each planned step is being delivered properly. Thank you for following the progress.

Official links: deeptics.io | x.com/Deeptics_ | t.me/deeptics
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Whales Group | Now Open

👩‍💻Eligibility

Hold ≥ 1% of supply (≥ 100,000 $DPTX)

Member Benefits

Early BETA access to new features
Priority information before public posts
Direct discussion with the team
Dedicated private room for strategy & feedback
Fast response with the core team

How to Join

Verify your wallet (snapshot txhash + signed message DM Core Team)

Security note: Admins never DM first.
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DEEPTICS BscScan 🔸

Submission Confirmed
We have submitted the token information update on BscScan [Ticket ID #741549]. This covers our latest details for the explorer listing.

As the update is being processed, we’re preparing a brief strategic plans update to outline near-term milestones and delivery focus. We’ll publish that note next so everyone has a clear view of what’s coming.

Thank you for the steady support. We’ll post again as soon as the explorer reflects the changes.
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Zero-Tax Buy Sprint — LIVE NOW

We’re launching this to rally community support, reward conviction holders, and accelerate the project’s momentum.

Buy Tax: 0% starting today (Oct 4, 2025).
Prize: 0.5 BNB to the Top Net Buyer who holds through 5 days.

How it works

Winner: Highest Net Buy on $DPTX who still holds at snapshot

Notes: 1 wallet = 1 winner; team/excluded wallets don’t count

How to join

Buy $DPTX during 0% buy tax

Hold until the snapshot on Oct 9

We announce the winner and send 0.5 BNB to the winning wallet
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DEEPTICS × Agility Robotics Partnership Direction

What DEEPTICS does
DEEPTICS provides a verification-first robotics platform (Proof-of-Simulation / PoSml) that turns simulation into audit-grade, repeatable skills and measures field performance with traceable telemetry and benchmarks. The result is safer, faster, and more predictable deployments for enterprise operations.

🔗Focus with Digit
• Warehouse pilot (2–5 units) to validate sim-to-field repeatability and throughput
• Shared telemetry interface for safety metrics, benchmarking, and reproducibility
• Skill contributions to Agility’s catalog, aligned with enterprise requirements
• Alignment on developer access, support, and timelines

🔗Why it matters
Enterprises require measurable safety and repeatability before scaling. PoSml provides the audit trail and comparability they expect; Digit brings proven mobile manipulation. Together, we can accelerate adoption with data-driven confidence.

https://x.com/deeptics_/status/1975200378271797397?s=46
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DEEPTICS — Robotics Development Parameters Unfold

Our journey in verifiable robotics continues.
We’re introducing the next development layer — refining robotic behavior, motion, and adaptive intelligence through parameterized prototypes and structured simulation.

This marks another step in Deeptics’ robotics simulation stack, where every frame, torque, and environmental variable is treated as verifiable data forming the foundation for Proof-of-Simulation (PoSml) integrity.

The development builds toward our Deeptics Origam Data Framework, ensuring modular robotics parameters that can be measured, validated, and deployed across adaptive robotic ecosystems.

🔗Goal:
To construct a simulation-driven intelligence framework where robotic prototypes evolve autonomously, governed by transparent, data-driven logic.

Stay tuned — each iteration brings us closer to self-learning verifiable robotics.
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DEEPTICS PoSml = audit-grade simulation → repeatable skills, twin integrity, asset identity, programmable licensing, safety/compliance. Built to interoperate with Kawasaki #KAddOn.

🔗kawasakirobotics.com

https://x.com/Deeptics_/status/1975337643073585662
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Deeptics Proto Assets Development in Progress

We’re actively building and running a 21-asset simulation catalog spanning wheeled robots, collaborative/industrial arms, humanoids, a quadruped, and aerial units. Each asset ships with deterministic configs, default sensor kits, controller presets, and PoSml manifests for verifiable outputs.

What’s running now

Fixed seeds & calibrated noise for fair, repeatable trials

Sensor defaults per class (RGB-D, IMU, LiDAR; FT/Tactile & Stereo where relevant)

Controller presets for locomotion, manipulation, and navigation (gait, QP/impedance, RRT/IK, EKF/VIO)

Safety bounds (joint limits, workspace guards, fail-safe halts) + telemetry exports (metrics.json, run.log)

Mid-term roadmap

Environment Packs: FactoryCell, WarehouseAisle, LabBench, OutdoorTerrain

Evaluation Suites: SLAM robustness, grasp & placement success, gait stability under disturbance, humanoid push-recovery

SDK/API Preview: asset loader, sensor swap, planner orchestration, signed artifact export

Partner Preview: mirrored PoSml runs, dashboards, and KPI reviews

Focus remains the same: reproducible, auditable simulation that can drop into CI and internal benchmarking quiet build, measurable outcomes.
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We've completed our DEEPTICS listing request on CoinGecko🦎

🔗Request ID: CL0810250007

In the meantime, you can monitor live pool data here:
https://www.geckoterminal.com/bsc/pools/0xe8161c9490ce89465369aa550e213ed0b4de09a0

Thanks for the support, We’ll keep everyone posted once CoinGecko completes their review.
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SNAPSHOT LEGGED SERIES OF PROTO ASSETS

🔗Technical Framework
3D Drag‑and‑Drop Builder [Deeptics Studio]

Snap‑fit rigging, inverse kinematics and constraints, parametric links, actuator and sensor slots.

Real‑time mass/inertia and center‑of‑mass updates, collision layers, self‑check with suggested fixes.

🔗Export: DTX-Pack (scene, kinematics, materials, controller bindings) with converters for common stacks.

Core Hardware Building Blocks

Mobility: microrover, skid‑steer rover, omnibase, quadruped, compact humanoid, mini‑drone.

Manipulators: 5‑axis and 6‑axis collaborative arms, grippers, vacuum end‑effectors, tool‑changers.

Compute: edge modules (CPU/NPU/GPU), real‑time controllers, safety PLCs.

Sensing: RGB/Depth, IMU, sonar, tactile/force, ToF/IR, lidar, microphones, environmental.

Power: swappable battery trays, smart BMS, wired DC carts.
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We’ve completed our 1st BUYBACK: 0.5 BNB for $DPTX

🔗Proof TxHashLink:
https://bscscan.com/tx/0x9e264ae2eac60086fb71c248dd39ffa802cded0681ed66896bcf703df3b522f4

This is part of our ongoing treasury plan to support market health. We’ll continue monthly buybacks (at minimum) to reinforce liquidity and floor support as we build.
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Deeptics Fiscal Roadmap

• CoinGecko submission in progress
• 2nd Buyback window:
• Increase Liquidity
• 1st Audit kickoff
• 1st Partnership pipeline
• Deeptics Labs: DTX-Pack alpha, Controller Presets, Core Module, Synth Library, Builder prototype

🔗Whales ≥1%: Loyalty Allocation (3-month holding reward) + early access with the core team.

🔗Whales Program (≥1% Supply)
Loyalty Allocation (3-Month Holding Reward)

🔗Eligibility: Hold ≥ 1% of supply for 3 months (start & end snapshots).

Benefits:

Loyalty Allocation (community appreciation distribution after the 3-month period)

Early Access to discuss next development plans directly with the core team.

Whales Group Access (priority updates, private testing invitations).
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Deeptics X CoinGecko 🦎

We're thrilled to announce $DPTX is now officially listed on CoinGecko

🦎CoinGecko: https://www.coingecko.com/en/coins/deeptics
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🦎Milestone: DEEPTICS just hit Top #1 Gainer on CoinGecko’s Robotics category.

This is a community win and a builder checkpoint thanks for the trust.

👑Next up: Labs dev drops, liquidity support, and roadmap updates.

Watch the board: https://www.coingecko.com/en/categories/robotics
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Deeptics Studio |
Embodied Simulation Overview

We are advancing the frontier of embodied intelligence where cognition meets motion, and simulation becomes a true testbed for learning in context.

Today, we unveil a new milestone from Deeptics Studio: the Embodied Simulation Environment, a dynamic test scene built to bridge perception, balance, and manipulation under realistic conditions.

The simulation demonstrates an OmniBase + DualArm architecture, equipped with synchronized stereo vision and IMU feedback. This configuration enables active coordination between locomotion and manipulation — a key foundation for scalable embodied cognition systems.

Every sequence in this environment represents real-time adaptive control:

Omni-directional base with dynamic equilibrium control.

Dual synchronized arms with motion blending and force modulation.

Stereo RGB & IMU sensory integration, providing proprioceptive and exteroceptive feedback.

Conveyor-based interaction, simulating object handling, transfer, and environmental engagement.

Intelligence without embodiment is incomplete cognition demands feedback from the physical world.”

Deeptics Studio is where this principle becomes tangible an experimental ecosystem for autonomous coordination, adaptive control, and sensory grounding.
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DEEPTICS LABS
🐱GitHub Repository Published

We’ve published the Deeptics Labs SDK & Docs repository:
🐱https://github.com/Deeptics-Robotics/Deeptics-Labs-SDK-Docs

🔗Verified highlights:

Public repo with initial commits and folder structure: cli / sdk / db / docs / examples.
GitHub

README contains quick-start instructions (venv, pip install, runnable example).
GitHub

A structured database file exists under db/assets/assets.yaml (registry of assets is present in the repo).
GitHub

Repo shows recent commits (history) and is on the main branch.
GitHub

What to expect next

We’ll continue to push structured asset metadata (models, sensors, presets), SDK improvements, examples and docs.

If you’re a developer: clone, try the quick start, and open issues or PRs for improvements.

Thanks for the support public rollout begins now. We’re building step-by-step, no shortcuts.
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Liquidity Update | $DPTX

We’ve successfully added 1 BNB liquidity to support the $DPTX market.

Liquidity will continue to increase monthly as our development progresses ensuring stronger stability and sustainable growth for the Deeptics ecosystem.

🔸TxHash : https://bscscan.com/tx/0x3de4fa2d462c45a0f594c3bffa599145b34553e7c7fb0b8276f0310f6d296cc2
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We're deep in development building the full Deeptics Simulation Framework, from the ground up.

Physics engine integration, adaptive controllers, and cloud adapters all unified under the Deeptics SDK.

Soon, you’ll be able to run any Deeptics simulation directly on the cloud.

git clone https://github.com/Deeptics-Robotics/Deeptics-Labs-SDK-Docs

cd demos/factory_conveyor && ./run_demo.sh

True embodiment begins here.
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We’re shipping a production-grade simulation stack at Deeptics, Cryptographically verifiable simulation receipts, modular controllers, and cloud-ready demos that make automation repeatable and auditable.

From SDK to live runs reproducible workflows, measurable safety metrics, and deployable “recipes” for precision or throughput.

https://x.com/deeptics_/status/1977696122094424183?s=46
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