Lagrange Motion Science · LAGRANGE
Built on multimodal embodied sensing, the Research Agent and motion-behavior Agent connect capture, analysis and outcome generation so that each experiment can continuously create clinical, research and product value.
Topic selection, study design and deliverable framework
Motion-data association, analysis and representation
01 / DOMAIN-LED NARRATIVE
APPLICATION SCENARIO / 01
Where do movement limitations arise in gait, sit-to-stand or balance tasks?
Motion capture + force + plantar pressure + EMG
Align gait cycles, key phases and multimodal signals to locate abnormal phases with evidence.
Clinical reports, functional evidence and longitudinal rehabilitation data.
APPLICATION SCENARIO / 02
Does robot movement meet the targeted strategy with stable, safe interaction force?
Kinematics + multidimensional force + contact data
Associate joint trajectories, contact points and interaction force to validate stable, repeatable robot strategy.
Behavior parameters, model-validation data and product proposals.
APPLICATION SCENARIO / 03
How do movement strategy, loading and efficiency influence performance and risk?
Motion capture + force + plantar pressure
Compare pre/post intervention, load zones and performance curves to identify effective training ranges.
Research reports, key frames, kinetic curves and intervention comparisons.
APPLICATION SCENARIO / 04
How can movement load and interaction risk in a work task be quantified?
Motion capture + multidimensional force + physiology
Overlay posture, joint load and task rhythm to identify high-load movement and risk hotspots.
Ergonomic evaluation, product design evidence and reusable data.
02 / SHARED AI AGENT PLATFORM
The specialty defines the question; embodied sensing, BioMotionX and two Agents define how data becomes a reliable outcome.
DATA / SYNCHRONIZED FIELD
See motion, force, plantar contact and muscle activity align at the same research moment.
Synchronized timeline
Interface illustration, not live data.
RESEARCH OUTCOMES
Synchronized data, industry knowledge and professional databases become reviewable scientific-computing visualizations and output-ready documents, while researchers retain judgment and responsibility.
EMBODIED SYSTEM MESH
Embodied sensing endpoints, the BioMotionX workstation, Research Agent and the motion-behavior Agent share one timing and data foundation for traceable research workflows.
Embodied sensing endpoints
Dynamics · Kinematics · PhysiologySTS Motus™ sit-to-stand balance assessment & training system · PelmaMotus™ plantar pressure-distribution assessment & training system
OMMotus™ optical motion-capture system · 3dIA Motus™ 3D image-analysis system
sEMGMotus™ wireless surface-EMG assessment & training system
Workstation system
A unified timeline links multimodal endpoints, research tasks and analysis, so every capture becomes a traceable research-data asset.
Research data and intelligence
Research Agent · Data · AgentOrganize study questions, design, tasks and deliverables.
Connect domain knowledge, literature, references and motion models.
Associate data, generate graphics and organize research outcomes.
03 / VALUE LOOP
Embodied sensing, data intelligence and outcome conversion run through the whole study, building composable research capability for clinical, robotics and other research settings.
Combine kinetic, kinematic and physiological devices into a unified capture and analysis workflow.
Organize knowledge, literature, templates and models into research clues that can be queried, compared and interpreted.
Use the workstation and Agent for clinical research, product incubation and intellectual-property conversion.
04 / CO-RESEARCH
Share what you want to study, your site constraints and the data you need; we will work backward to capture and configuration.