Commercial robotHumanoid

PAL Robotics Kangaroo

Kangaroo robot profile with source-backed specifications.

PAL Robotics

Data & sources

Official
2

Key specifications

Height
1.58 m
Weight
50–65 kg
Total degrees of freedom
14–40 DoF (platform configuration)
General payload
7 kg (4 DoF arms)
PAL Robotics Kangaroo hero image

Specifications

View 2 sources

Physical specifications

2
Height

1.58 m

Weight

50–65 kg

Actuation

12
Total degrees of freedom

14–40 DoF (platform configuration)

Degrees of freedom per arm

4, 5 or 7 DoF (platform configuration)

Torso dof

2 DoF (yaw and roll)

2 supporting sources

Degrees of freedom per leg

6 DoF

Actuator control modes

Current; speed; position; impedance; force/torque (optional)

PIDs; current; speed; position; impedance; force/torque

Actuators and transmissions

Custom linear actuators with integrated force sensors provide a wide range of motion and high speed and torques at the joints

Arm configuration

4 DoF arms (platform configuration)

5 DoF arms (platform configuration)

7 DoF arms (platform configuration)

Linear actuators

Custom linear actuators with integrated force sensors

Motor placement

Motors close to the body

Leg length decoupling

Decoupling leg length from hip swing motions

Closed loop force torque control

Closed loop force/torque controllers at joint level

Closed loop joint force torque control

Closed-loop force/torque joint controllers

Battery and power

4
Battery capacity

976 Ah

Runtime

3 h

Power output 12v

12 V/5 A power out

Power output 71 4v

71.4 V/2 A power out

Mobility

8
Whole body inverse dynamics controller

Whole body inverse dynamics controller

Walking policy

Walking

Push recovery policy

Push recovery

Running policy

Running

Jumping policy

Jumping

Stair climbing policy

Stair climbing

Dance policy

Dance

Low moving inertia

Low moving inertia

Manipulation

16
Arm tool flange

ISO 9409-1 interface with quick tool changer

ISO 9409-1

Quick tool changer

Interface with quick tool changer

General payload

7 kg (4 DoF arms)

Box picking policy

Box picking

Arm payload 4 extended

7 kg

Arm payload 4 bimanual

30 kg

Arm payload 5 extended

5 kg

Arm payload 5 bimanual

28 kg

Arm payload 7 extended

3 kg

Arm payload 7 bimanual

25 kg

Parallel gripper

Parallel gripper

Parallel gripper configuration

2 fingers, 1 DoF

Seed robotics rh8d end effector

Seed Robotics RH8D

Seed hand configuration

5 fingers, 7 DoF

Inspire robots hand

Inspire Robots RH56F1 – RH56E2

Inspire hand configuration

5 fingers, 6 DoF

Sensors

9
Imu update rate

1 kHz update rate; accuracy 0.25° static, 0.5° dynamic

Imu accuracy static

0.25° (static)

2 supporting sources

Imu accuracy dynamic

0.5° (dynamic)

2 supporting sources

Vision system

4× RGB-D cameras

2 supporting sources

Imu ahrs update rate

1 kHz update rate

Wrist force torque sensor

Wrist 6 axis force/torque sensor

2 supporting sources

Foot force torque sensor

Feet 6 axis force/torque sensor

2 supporting sources

Leg actuator force sensor

Integrated force sensor

2 supporting sources

Seed hand tactile pressure sensors

Tactile pressure sensors

Compute

18
Control loop frequency

EtherCAT 2 kHz control loop

2 supporting sources

Os and middleware

Ubuntu LTS + ROS 2 LTS + PAL OS

2 supporting sources

Control framework

ros2_control

2 supporting sources

Robot models

URDF and MJCF model

2 supporting sources

Simulation and rl tools

MuJoCo and mjlab

2 supporting sources

Ai development pipelines

Open-source reinforcement learning; motion retargeting; imitation learning

Rl policies library

Walking; push recovery; running; jumping; stair climbing; dance; box picking

Visualisation and diagnostics

WebGUI – web interface; hardware statistics history; Rviz2

Research access level

Access to real-time loop; custom software deployment; ROS 2 API C++/Python

Kinematic whole body controller

Hierarchical IK solver; teleoperation demo with VR kit

Gpu

NVIDIA Jetson GPU (optional)

2 supporting sources

Ai controller framework

Online control-policy switching

Open source reinforcement learning

Open-source reinforcement learning

Motion retargeting

Motion retargeting

Imitation learning

Imitation learning

Web interface

Web interface

Motor control electronics

In-house electronics for motor control and sensor acquisition

Decentralized electronics

Embedding custom and decentralization

Other

8
Onboard emergency button

Onboard emergency button

Wireless emergency button

Wireless emergency button

Safety integrity level

SIL 2 based on IEC61508

Performance level

PL d based on EN ISO 13849-1

Connectivity

2× WiFi6 (2.4 GHz + 5 GHz)

2 supporting sources

Usb 3 type a ports

2× USB-3 Type A

Usb 3 2 type c ports

4× USB 3.2 Type C

Gigabit ethernet ports

2× Gigabit Ethernet RJ45