Conventional VLA
Vision–language–action · correlation-driven
- Pixel stream → action mapping
- Weak semantic and causal explanation
- Limited generalization · black-box decisions
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Embodied Intelligence
Built on the VisionX world model and VANTA embodied hardware, we meet scene pain points and real needs so embodied robots can enter industry and everyday life.
For more details, visit Bingo Robotics · Wanjing Zhiyuan
Brain, body, inference, and affect runtime share one skill system—reused across industries.
World Model
VUA understanding layer, architecture, and evaluation
Learn MoreBase
One robot platform · one skill system · reused across industries
Learn MoreInference Engine
Logical inference and token economics
Learn MoreAffect Engine
Affect sensing and privacy barrier
Learn MoreRobot Solutions
QSR, pharmacy, agriculture, mining, power, manufacturing
Learn MoreBrain
Understand the world, predict the future, plan action
Built on the VUA (Vision · Understanding · Action) framework, VisionX uses high-dimensional multimodal representations so robots can understand, decide, and act in real scenes. An understanding layer organizes physics, semantics, scene, and affect—rather than mapping pixels straight to actions.

Conventional VLA
Vision–language–action · correlation-driven
VisionX · VUA
Four understanding bases · verifiable reasoning path
01
Predict motion under force, contact, and dynamics—giving machines physical common sense and safety explainability.
02
Turn vision into semantics, keeping task-relevant meaning for object understanding, scene semantics, and task decomposition.
03
Rebuild actionable space: spatial structure, 3D maps, occupancy, and navigation planning.
04
Turn affect signals into computable variables—emotion, intent, and social-relationship boundaries.
Body
Embodied platform · one robot base · one skill system · reused across industries
VANTA is Bingo Robotics’ No.1 hardware base—the physical Body for VisionX’s Brain. Together they form a complete embodied product. Full-scene convenience-store validation is complete, with a path to industrial and high-risk work.

21 DOF
Full-body DOF
Head 3 · torso 2 · dual arms 7+7
2m
Workspace
Dual-arm coverage radius
7kg
Rated arm payload
Peak 15kg
L20
Dexterous manipulation
Optional 20-DOF hand
Orin
Edge compute
Optional Jetson Orin 64GB / Thor 128GB
5000h
Robot dataset
Train 3500h · val 500h · RL 1000h
VANTA · Body (execution)
+
VisionX · Brain (perception & decision)
Together = a complete embodied product
Full-scene convenience-store validation, ready to transfer to industry.
Four typical semi-structured scenes
Semi-structured means patterned but changing—more flexible than a fixed line, more controllable than the home. This is where VANTA lands first.
01
Goods sit in patterned layouts, but pick locations change; aisles are fixed while people and temporary obstacles are not.
02
Shelf layouts stay relatively fixed, while traffic and stockouts shift in real time—requiring recognition, judgment, and flexible response.
03
Flows are standard, but each task’s details differ; humans and robots share space, so safety bounds are strict.
04
Operations are standardized, but every order differs—semi-standard products fit dual-arm robots best.
Runtime
Logical inference and token economics
A software–hardware edge collaborative inference stack that uses on-device AI compute and distributed algorithms to break the latency–efficiency–privacy trilemma. A small on-device draft model predicts; a cloud LLM verifies in parallel. Raw data stays on device—only features go upstream.

01
How can devices use large models while cutting token cost?
02
How do we reduce token latency and time-to-first-token?
03
How do we raise the inference speedup ratio?
04
How do we better protect on-device private data?
01
Local processing
Desensitize · compress · extract features
02
Draft prediction
On-device small model drafts tokens
03
Token verification
Cloud LLM verifies in parallel
04
Secure return
Efficient, secure, low-latency feedback
2–3×
Inference speedup target
TTFT
Lower time-to-first-token
50%+
Expected cloud token savings
On-device
Raw private data stays local
Figures are internal targets or POC references on specific models, hardware, and tasks—not a general SLA. Contracts and measured results govern.
Affect
Affect sensing and privacy barrier
AuraCore upgrades audiovisual compression into affect interaction: robots that read emotion, build trust, and collaborate with restraint. Multimodal cues become computable affect variables for tracking and socially bounded human–robot work.
I can tell you’re tired—I can take some of the load.

Multimodal sensing
Affect feature extraction
Affect-state tracking
Intent and need prediction
Social-relation reasoning
Affective response generation
Recognize states such as joy, surprise, confusion, anger, and sadness.
Read explicit requests (“pour me some water”) and implied states (“I’m a bit tired”).
Sense closeness, collaboration, respect, and boundaries—avoid overstepping.
Generate matching language, expression, and behavior for real companionship and work.
Solutions
Embodied intelligence from consulting through continuous optimization
VisionX + VANTA, plus TurboCore and AuraCore runtimes, package world understanding, physical execution, on-device inference, and affect into deployable industry solutions. Six scenes—QSR, pharmacy retail, agriculture, mining, power, and manufacturing—are in joint validation.

Joint validation
Unmanned stall · entertainment complex
Drink making, fine plating, table clearing, and venue interaction—cost, 24h ops, and experience.
View SolutionJoint validation
Unmanned pharmacy · chain retail
Auto dispensing, prescription checks, inventory, and replenishment—safety, precision, lower opex.
View SolutionJoint validation
Greenhouse / orchard / field / processing
Weeding patrols, haulage, sorting, and environment monitoring—cost, yield, and sustainability.
View SolutionJoint validation
Coal and metal · underground / open pit
Explosion-proof patrol, support work, sorting, rescue sensing, and personnel location—replace people in harm’s way.
View SolutionJoint validation
Substation / wind / PV / line inspection
Equipment patrol, high-precision thermography, UAV inspection, remote alerts, and fault ID.
View SolutionJoint validation
3C / PCB precision electronics
Autonomous load/unload, precision assembly, welding/dispensing, inspection, and flexible sortation.
View Solution