Your Fusion Stackis Hallucinating.
Extrinsic calibration drift of just 2mm causes "ghost objects" and cascading model failure. Stop relying on manual target routines.
Calibration Is Quietly Breaking Your Robots — And Your Roadmap
Sensor calibration isn't just a technical nuisance — it's a bottleneck silently bleeding time, data quality, and confidence from robotics teams. If you've spent hours wrangling calibration boards, tweaking transforms, or wondering why your fused perception feels "off," you're not alone.
The Hidden Costs of Miscalibration
Radar Doesn't Play by Checkerboard Rules
Your camera sees a clean target. Your radar sees noise. Sparse, ambiguous returns make radar-camera alignment feel like guesswork — and small errors mean fused detections drift.
The Humanoid Calibration Trap
Single-sensor alignment is manageable. Full-body kinematic chains? Not so much. Static targets can't calibrate moving robots. And manual routines don't scale to 20+ joints and sensors.
The "It Looked Fine Until 2 AM" Problem
Your pipeline ran. Your logs were clean. Then you find out: your LiDAR-camera transform was off by 4mm. Now your point clouds are ghosts, and your week of data collection? Unusable.
Solve the "Hard" Extrinsics.
Fix the Baseline. Fight Entropy.
The Extrinsic Baseline
(Service)
THE PROBLEM:
"Crazy Position" bugs & Initial Alignment.
WE DELIVER:
Full Multi-Modal Calibration (LiDAR + Cameras + IMU + Radar).
PoseAble Guardian
(Software)
THE PROBLEM:
Thermal expansion & Vibration drift.
WE DELIVER:
Online, Target-less Self-Calibration.
START WITH PHASE 1 → SCALE WITH PHASE 2
No Targets. No Downtime.
We turn the environment into your calibration rig.
About PoseAble Labs
Based in the San Francisco Bay Area, PoseAble Labs operates at the epicenter of robotics and AI innovation.
We don't just write equations and code; we solve physics. With deep roots in SLAM research, multi-sensor fusion, and 3D vision, we bring unmatched expertise to every project—helping our customers unlock machines that are safer, smarter, and mathematically reliable.
Dr. Matthew Trzeciak
Founder & Chief Engineer
PhD in SLAM, University of Cambridge
Matthew's work spans 3D SLAM, sensor fusion, and complex optimization. His research is backed by 5 patents—including filings by the University of Cambridge—and extensive consulting engagements across Silicon Valley, USA and Europe.
O-1 "Einstein" U.S. Visa
Extraordinary ability in engineering and research
5x Patent Holder
University-filed and industry-applied inventions
Deep Math & AI Expertise
Applied to real-world autonomous systems
Don't let sensor misalignment cause a liability event.
Manual calibration is tedious, error-prone, and static. Switch to dynamic, continuous validation.
Book Free Intro Call→PoseAble Labs
Target-less Multi-Sensor Calibration
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