Difference between revisions of "ICub"
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| Tactile sensors || More than 3000 (*) || Capacitive tactile sensors (8 bit resolution at 40Hz) are installed in the fingertips, palms, upper and fore-arms, chest and optionally at the legs (*). | | Tactile sensors || More than 3000 (*) || Capacitive tactile sensors (8 bit resolution at 40Hz) are installed in the fingertips, palms, upper and fore-arms, chest and optionally at the legs (*). | ||
|} | |} | ||
+ | |||
+ | {| class="wikitable" | ||
+ | |+ Capabilities of iCub | ||
+ | ! Task !! Description | ||
+ | |- | ||
+ | | Crawling || Using visual guidance with an optic marker on the floor | ||
+ | |- | ||
+ | | Solving complex 3D mazes || Demonstrated ability to navigate and solve intricate 3D mazes | ||
+ | |- | ||
+ | | Archery || Shooting arrows with a bow and learning to hit the center of the target | ||
+ | |- | ||
+ | | Facial expressions || Capable of expressing emotions through facial expressions | ||
+ | |- | ||
+ | | Force control || Utilizing proximal force/torque sensors for precise force control | ||
+ | |- | ||
+ | | Grasping small objects || Able to grasp and manipulate small objects such as balls and plastic bottles | ||
+ | |- | ||
+ | | Collision avoidance || Avoids collisions within non-static environments and can also avoid self-collision | ||
+ | |} | ||
+ | |||
== References == | == References == |
Revision as of 19:37, 26 May 2024
The iCub is a research-grade humanoid robot for developing and testing embodied AI algorithms. The iCub Project integrates results from various Instituto Italiano Research Units. The iCub Project is a key initiative for IIT, aiming to transfer robotics technologies to industrial applications.
iCub | |
---|---|
Name | iCub |
Organization | Instituto Italiano |
Video | Video |
Cost | Approximately €250,000 |
Height | 104 cm (3 ft 5 in) |
Weight | 22 kg (48.5 lbs) |
General Specifications
The number of degrees of freedom is as follows:
Component | # of degrees of freedom | Notes |
---|---|---|
Eyes | 3 | Independent vergence and common tilt |
Head | 3 | The neck has three degrees of freedom to tilt, swing, and pan |
Chest | 3 | The torso can also tilt, swing, and pan |
Arms | 7 (each) | The shoulder has 3 DoF, 1 in the elbow, and three in the wrist |
Hands | 9 | The hand has 19 joints coupled in various combinations: the thumb, index, and middle finger are independent (coupled distal phalanxes), the ring and little finger are coupled. The thumb can additionally rotate over the palm. |
Legs | 6 (each) | 6 DoF are sufficient to walk. |
Sensors
Sensor type | Number | Notes |
---|---|---|
Cameras | 2 | Mounted in the eyes (see above), Pointgrey Dragonfly 2 (640x480) |
Microphones | 2 | SoundMan High quality Stereo Omnidirectional microphone, -46 dB, 10V, 20....20 000 Hz +/- 3dB |
Inertial sensors | 3+3 | Three axis gyroscopes + three axis accelerometers + three axis geomagnetic sensor based on BOSCH BNO055 chip, mounted in the head. (100Hz) |
Joint sensors | For each large joint | Absolute magnetic encoder (12bit resolution @1kHz) at the joint, high-resolution incremental encoder at the motor side, hall-effect sensors for commutation (brushless motors only) |
Joint sensors | For each small joint | Absolute magnetic encoder (except the fingers which use a custom hall-effect sensor), medium-resolution incremental encoder at the motor |
Force/torque sensors | 6 | 6x6-axis force/torque sensors are mounted on the upper part of the arm and legs plus 2 additional sensors mounted closer to the ankle for higher precision ZMP estimation (100Hz) |
Tactile sensors | More than 3000 (*) | Capacitive tactile sensors (8 bit resolution at 40Hz) are installed in the fingertips, palms, upper and fore-arms, chest and optionally at the legs (*). |
Task | Description |
---|---|
Crawling | Using visual guidance with an optic marker on the floor |
Solving complex 3D mazes | Demonstrated ability to navigate and solve intricate 3D mazes |
Archery | Shooting arrows with a bow and learning to hit the center of the target |
Facial expressions | Capable of expressing emotions through facial expressions |
Force control | Utilizing proximal force/torque sensors for precise force control |
Grasping small objects | Able to grasp and manipulate small objects such as balls and plastic bottles |
Collision avoidance | Avoids collisions within non-static environments and can also avoid self-collision |