▶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.

▶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

▶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.

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.

▶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.

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.

▶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).

▶ Deeptics X CoinGecko 🦎

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

🦎CoinGecko: https://www.coingecko.com/en/coins/deeptics

🦎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

▶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.

▶2nd BUYBACK 0.7 BNB executed to support $DPTX

Deeptics is proud to announce the successful execution of our 2nd buyback: 0.7 BNB has been purchased to support the liquidity and long-term stability of $DPTX.

🔸https://bscscan.com/tx/0xb7166974c3ece7c2fd75d76121cab06aa9fe71458cb387d93dd871e861ba8841

▶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.

▶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

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. ▶

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

The Deeptics Robotics Simulation

Public Demo Tester Whitelist is officially open.▶

We’re inviting 100 selected testers to experience and validate the Deeptics Simulation Framework — our next-generation robotics environment built for adaptive control, verification, and cloud deployment.

Each selected tester will share a 1% reward pool (100,000 $DPTX), distributed equally among active participants after the 1-week demo period.

🧩Registration Details

🏪Whitelist is now open to the public.

▶Register using a valid active email address.

▶Registration will close once the participation cap is reached.

🔗100 testers will be selected automatically and notified via email with the subject line:
“You’ve been selected as a Deeptics Robotics Simulation Tester.”

🔗Total Reward Pool: 1% = 100,000 $DPTX (shared equally among all active testers).

🔗Test Duration: 1 week (official start date to be announced).

🔗All data is securely stored and managed within the Deeptics database — ensuring integrity and privacy.

▶Official Contact: official@deeptics.io

Prepare your email. Submit your registration.

The first 100 will help shape how Deeptics Robotics Simulation evolves from code to cognition.

🔗Apply now: https://whitelist.deeptics.io/

Deeptics Update Tax Adjustment, Whales Group Opening & Reward Distribution▶

Alongside the continuous development of $DPTX, we’ve officially entered the next phase of ecosystem adjustments.

🟢Transaction tax has now been reduced to 4/4%.

This marks another key milestone in our long-term roadmap toward a 3/3% target reinforcing a healthier, more sustainable, and community-driven growth model for the Deeptics ecosystem.

Every allocation remains strategically purposed for:
• Development & Infrastructure (servers, cloud systems)
• Marketing & Growth Budgeting
• Buybacks, Liquidity Enhancement, and Partnership Listings

Each step strengthens Deeptics built sustainably, transparently, and consistently.

▶Whales Group | Now Open
Minimum Hold: 0.5% (≥ 50,000 $DPTX)

🎯 Perks:
✅ Early beta access
✅ Exclusive internal updates
✅ Private strategy room
✅ Direct communication with the team
✅ Priority support
⚠️ DM the admins on TG if you qualify to join.

🏆 Biggest Buy Competition Reward Distributed
The 1 BNB reward has been officially sent to the competition winner.

🔗 View on BscScan : https://bscscan.com/tx/0xd40809008b89d8619acedf6346b094e2c5463e3e1897058349352f1c96a8b1f6

Another step forward in maintaining trust, fairness, and long-term value for our holders.

With great appreciation to @cyberscope_io for completing the audit of Deeptics ($DPTX).
This marks another milestone in our ongoing commitment to transparency, security, and long-term trust with our community.

✅Verified Audit: cyberscope.io/audits/dptx

▶3rd BUYBACK 1.5 BNB Executed

We’ve completed our third buyback (1.5 BNB) to continuously strengthen the $DPTX ecosystem.

🔗Proof:
https://bscscan.com/tx/0xede98c12225177e6ef74195969db70166c2c97e2423c0c3093fb0c377f4713b9

No matter the market condition, we remain committed to supporting and sustaining the Deeptics ecosystem for the long term.

Up next > we’ll share the Deeptics Labs Studio Product Overview, showcasing our next evolution in robotics & simulation technology.