BWSENSING at WAIC: Inertial Sensing Foundation Powers the Shift from Digital AI to Physical AI Release date:2026-07-19   Browsing volume:12

The 2026 World Artificial Intelligence Conference (WAIC) highlighted Physical AI as one of the industry’s central themes. Unlike digital AI systems that focus primarily on text and image processing, Physical AI is about intelligent agents that can perceive the physical world, understand gravity, friction, deformation and motion dynamics, and act reliably in real environments.

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In this context, inertial sensing plays a foundational role. It provides the attitude, motion and stability data that enable intelligent machines to move, balance, manipulate objects and interact safely with their surroundings. For BWSENSING, WAIC was an opportunity to discuss how high-precision inertial technology supports the next generation of Physical AI applications.

BWSENSING presented its end-to-end inertial sensing approach for Physical AI equipment at Booth H3-A407, Shanghai World Expo Exhibition & Convention Center. The booth focused on practical integration scenarios, including humanoid robots, dexterous manipulation and intelligent equipment monitoring.

Our team discussed how inertial modules can be integrated into robot torsos, joints and fingertips to capture high-precision motion data, support stable posture control and help equipment maintain reliable performance in complex real-world conditions.


Seven Core Strengths

BWSENSING’s inertial sensing technology is built on long-term R&D in MEMS sensing, attitude algorithms and system integration. Our capabilities are designed to address key challenges for Physical AI and industrial motion applications:

Independent core algorithm development

Self-developed attitude solving and sensor fusion algorithms, with continuous iteration to adapt to dynamic motion characteristics of Physical AI.

High-precision attitude perception capability

Accurate measurement of angular velocity, acceleration and attitude to support stable motion control and environmental interaction.

Dynamic error compensation technology

Integrated algorithm processing helps reduce the impact of installation deviation, vibration and temperature variation on measurement stability.

Strong adaptability for complex environments

Engineered for demanding operating conditions to deliver consistent attitude data critical for equipment safety and performance.

Flexible and modular integration architecture

Modular hardware and software interfaces make it easier to incorporate inertial sensing into different intelligent equipment platforms.

Deep industrial scenario verification

Our inertial sensing technology has been validated across multiple industries, accumulating rich experience for Physical AI deployment.

Customized full-cycle technical support

We deliver tailored sensing schemes and continuous technical support to accelerate customers’ R&D and commercial iteration.



Typical Application Cases

1. The Only State-Capitalized Embodied Intelligence Company

Project OverviewIt is adapted to factory and park human-robot coexistence handling scenarios. The humanoid robot supports 5km/h high-speed running and autonomous SLAM navigation. Multi-joint attitude synchronous collection is required for the torso, head and pelvis, with demands for standardized mass matching.

BWSENSING SolutionDistributed multi-point deployment of self-developed DMC630 small-size, cost-effective attitude and heading reference system on the complete machine to output multi-dimensional motion data in real time. Standardized interfaces connect to the main controller, integrating dual algorithms of balance control and SLAM positioning.


2. An Embodied Intelligence Company in Beijing

Project OverviewEquipped with a five-finger dexterous robotic hand. It needs to independently capture subtle bending and swinging postures of individual fingers. The hardware is required to be miniaturized without interfering with joint movement.

BWSENSING SolutionSelf-developed miniature patch IMUs embedded in each finger joint. Each finger independently collects angular velocity, acceleration and attitude data. Multi-node synchronous acquisition fully restores fine hand movements. Ultra-small package fits narrow internal space with no mechanical interference.

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3. AI Computing Center Server Cabinet Monitoring Case

Project OverviewA leading AI enterprise operates more than 40 computer rooms with 500 cabinets. The computer rooms have no external network and cannot be wired for power supply. Cabinet deformation and inclination may easily cause server downtime, which cannot be adapted by traditional monitoring solutions.
BWSENSING SolutionDeploy multi-channel LoRa gateway plus battery-powered inclination sensors without wiring construction. LR-WM410 high-precision wireless inclination sensors collect attitude in real time and capture tiny tilts. Supporting cloud platform realizes hierarchical early warning, automatic push of exceptions to operation and maintenance personnel to form a closed-loop monitoring system.

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Looking Ahead

Physical AI is creating new demand for more accurate, reliable and embeddable motion sensing. BWSENSING will continue to focus on inertial sensing technology, helping customers turn complex motion data into stable, controllable and safe physical behavior.
We thank all partners and visitors for the discussions at WAIC. BWSENSING looks forward to continuing cooperation with industry, research and development teams to advance intelligent sensing and motion control for the next generation of Physical AI.


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