Heavy-Duty Physical AI Robotics

SEOUL
DYNAMICS

Physical AI robotics specialized for heavy-duty tasks — next-gen robots trained from real-world operation, moving 2-30t+ payloads and performing complex work from lifting to assembly with teleop, autonomy, and fleet orchestration.

HD Hyundai Heavy Industries
HD Hyundai Samho
Hyundai Engineering
Samsung
SK hynix
CJ Logistics
NVIDIA Inception
Bosch
Texas Instruments
Luminar
SK ecoplant
Haekwang
TMC
Yamato Holdings
Amazon

Main production model

RAPTOR FORKLIFT

Seoul Dynamics' Raptor Lift is a fully unmanned compact autonomous forklift for narrow warehouses, lifting 1 ton up to 2.5 m and navigating aisles under 900 mm, with 3 LiDARs, 7 cameras, and 4 E-stops.

Payload

1.5T

Price

USD 10K

Lift Height

2.5M

Aisle Width

<900MM

LiDAR

3

Cameras

7

E-Stops

4

Control

UNMANNED

System

ELECTRIC

RAPTOR autonomy loop

End-to-End Autonomous Solution
trained in simulation and teleoperation

RAPTOR learns pallet approach, lift sequencing, and trailer transfer from simulation policies and teleoperation data, then transfers the same work loop to the production robot.

Robot

RAPTOR LIFT

Environment

ISAAC SIM

Training

RL POLICIES

Teleop

REAL DATA

Deploy

SIM TO REAL

02 / Heavy-duty family

TYRANNO

A heavy-duty industrial robot family: prime platform, forklift module, and confidential blaster module grouped under one high-load base.

Power

400 kW

Payload

10-15 tons (*trailer type)

Speed

25 km/h

Runtime

20 hours
TYRANNO

Prime robot

TYRANNO

TYRANNO FORKLIFT

Forklift module

TYRANNO FORKLIFT

TYRANNO BLASTER

Confidential module

TYRANNO BLASTER

02B / TYRANNO FORKLIFT

TYRANNO
FORKLIFT

TYRANNO FORKLIFT combines real teleoperation and operation data with a robust rule-based control core and E2E autonomous work policies, reducing the sim-to-real gap for high-load material handling.

Price

USD 13K

Operation

FIELD DEPLOYED

Data

TELEOP + FIELD DATA

Control

RULE-BASED CORE

Autonomy

E2E WORK POLICY

Transfer

MINIMIZED GAP