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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
With respect, we’re pleased to announce that Dextools has been updated for Deeptics.
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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Hold ≥ 1% of supply (≥ 100,000 $DPTX)
Member Benefits
How to Join
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.
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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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 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.
• 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
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.
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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.
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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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.
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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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.
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.
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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• 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
Loyalty Allocation (3-Month Holding Reward)
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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We're thrilled to announce $DPTX is now officially listed on CoinGecko
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This is a community win and a builder checkpoint thanks for the trust.
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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 ⛓️💥 DEEPHUB
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…
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.
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We’ve published the Deeptics Labs SDK & Docs repository:
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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GitHub
GitHub - Deeptics-Robotics/Deeptics-Labs-SDK-Docs
Contribute to Deeptics-Robotics/Deeptics-Labs-SDK-Docs development by creating an account on GitHub.
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.
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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.▶
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
From SDK to live runs reproducible workflows, measurable safety metrics, and deployable “recipes” for precision or throughput.
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