Research Solution
Research AI Robot Arm Set
High and low-level control at once — down to torque
One set: a controller integrating GPU, AI compute & control SW — plus the arm. Skip the setup — start your research right away.
Universities and labs using it
Everything a lab needs, in one set
Both high-level and low-level control
Handle high-level control like vision and AI inference alongside low-level motor and torque control — all in one set. Customize whichever layer — high-level or low-level — your research requires.
Customize low-level control algorithms
PID and ADRC are built in, and the control loop is not closed. Reach into the dynamics model (URDF, gravity) and implement the algorithms below in a 1kHz real-time torque loop (C++ plugin, Python — examples on request).
GPU and real-time control in one box
AI inference (NVIDIA Jetson GPU) and 1 ms real-time control run together in a single box. No separate GPU workstation to wire up to the controller — the Docker and research environment come pre-configured.
Multi-robot scaling (1 → 4 robots)
Start with a single-robot configuration and scale to four with the same electrical structure — ready for multi-robot and cooperative-control research.
Technical specifications
Robot arm — e.g. INDY7
- DOF
- 6 (revolute)
- Payload
- 7 kg
- Max reach
- 1.3 m
- Repeatability
- ±0.1 mm
- Joint speed
- 150–180 °/s
- Tool speed
- 1 m/s
- Weight
- 28 kg
Example configuration — Yaskawa, Doosan, and custom arms also supported
Controller — WIM Robot Controller
- SoC
- NVIDIA Jetson Orin AGX
- AI compute
- 275 TOPS (INT8)
- Memory
- 64GB LPDDR5
- Control cycle
- 1 ms (1kHz) · jitter ±4.1μs
- Simultaneous axes
- 128
- Fieldbus
- EtherCAT · EtherNet/IP · Modbus TCP
- I/O
- Digital 8 in · 8 out (EtherCAT-expandable)
- Network
- 5× 1Gbps · Wi-Fi · BT
- E-stop
- max 16.32 ms (KIRIA certified)
- Power
- 90–264 VAC (universal)
- Size · Weight
- 238 × 352 × 207 mm · < 11 kg
Software · Control — PLEM
- Platform
- PLEM (ROS 2 native)
- Motion planning
- MoveIt 2 + cuMotion
- Control layers
- High (vision·AI) + low (torque) together
- Control algorithms
- PID·ADRC built-in + custom torque plugin (examples on request)
- Monitored signals
- Joint position · velocity · torque
- AI deployment
- Docker container · model deploy
- Multi-robot
- 1 → 4 robots
We configure it to your research topic and scale
Pricing depends on the configuration. Reach out anytime.