Robotics Lab
Sensors
The perception hardware — cameras, depth, IMU, force, LIDAR — that gives robots contact with the world.
Overview
Sensors are the interface between algorithm and reality. Sensor selection, placement, calibration and fusion determine the ceiling of everything built above them.
The lab's sensor work is about disciplined engineering: characterization, calibration and fusion done properly, not glamorous new hardware.
What this covers
Sensor characterization
Every sensor is characterized before it is trusted.
Calibration
Intrinsic and extrinsic calibration workflows that survive field conditions.
Fusion
Time-synchronized fusion across modalities with uncertainty modeling.
Redundancy
Redundant sensing where safety requires it.
Failure detection
Sensor failure detected and handled, not silently absorbed.
Cost-aware selection
Sensor choice is a system-level decision with cost, power and reliability tradeoffs.
How it works
- 1
Sensor stack is chosen against the task and cost envelope.
- 2
Calibration procedures are developed and validated in the field.
- 3
Fusion combines modalities with uncertainty modeling.
- 4
Sensor health is monitored continuously.
Use cases
Perception research
Working out which sensor stack a use case really needs.
Realistic, deployable sensing rather than lab-only exotica.
FAQ
Frequently asked
- The lab is vendor-neutral; choices are project-specific.