Technology
From reproducing complex physical phenomena to robot learning and real-machine validation — one continuous development process.
R&D
Logos
A proprietary physics solver for complex materials and contact
KIPtech is developing Logos, a proprietary physics solver for complex contact and interaction between different materials. It connects targets that general robot simulation struggles to represent — soil, powders, fluids, soft and deformable objects — to Physical AI learning environments and data generation. It remains a technology base under active research and development.
- Complex contact computation
- Per-material constitutive models
- Multi-material coupling
- GPU computation
- Connects to AI, RL and VLA
- Generates robot-learning data
Technology flow
Technology Flow
01
Real-to-Sim
Virtualize equipment, objects and environments from field data
02
Physics Simulation
Reproduce contact, friction, deformation and flow
03
Synthetic Data
Generate data including success, failure and hazard conditions
04
Robot Learning
Connect to imitation learning, reinforcement learning and VLA
05
Sim-to-Real
Transfer policies and conditions learned in simulation to machines
06
Real Data Correction
Re-correct models and control with measured data
Demos
Technology Demos
Simulation validation demos using a robot arm. Production work is built around your equipment, objects and evaluation goals.
Robotics
Path Following (Inverse Kinematics)
The tool center point follows a given path via inverse kinematics, validating motion, posture and reachability before robot deployment.
Technology demoRobotics
Contact & Quality Monitoring
Motion is validated while monitoring contact, clearance and quality metrics, feeding robot learning for force-sensitive tasks such as grasping.
Technology demoRobotics
Assembly Mission Execution
A full assembly task, from part handling to inspection, runs in simulation — an example that connects to a real-machine PoC.
Technology demo