Difference between revisions of "Force Control"
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Revision as of 02:09, 14 October 2010
- 1 Minimum Requirements for iCub v1.x
- 2 Joint-level torque Control in iCub v2.0 (future iCub)
- 3 Joint-level torque Control in iCub v1.x (current iCub)
- 4 Ports and connections
- 5 Available control modes
- 6 How to start torque control
- 7 Configuration files
- 8 Known issues
- 9 FAQ
- 10 Videos
- 11 Credits
Minimum Requirements for iCub v1.x
In order to run force control, your iCub must be equipped with the four 6-axis F/T Sensors. These sensors have been installed on the robot since v1.1 of the platform.
The PID control algorithm responsible of tracking the commanded torque at joint level is executed inside the DSP control boards. This means that the firmware of your robot needs to be updated in order to run joint level torque control. The minimum requirements are:
- firmware build 50 for brushless control boards
- firmware build 38 for 4DC control boards
Please refer to the firmware section for a description of the firmware update procedure.
Force control is one of the latest added feature of iCub. This means that even if your robot is equipped with the 6-axis F/T Sensors, maybe your .ini configuration files do not contains all the required parameters in order to run force control. In fact, new features have been recently added, and new configuration parameters have become mandatory. In order to check if the configuration files of your robot are properly updated, please refer to this section. One final remark: since iCub software is continuosly evolving, new features/improvements/bug fixes are constantly released, so it's a good idea to periodically update both your iCub and Yarp repository using SVN.
Joint-level torque Control in iCub v2.0 (future iCub)
The new robotic platform iCub v2.0 (the future release of iCub hardware) will use integrated joint torque sensors (strain gauges mounted on individual joints) in order to obtain joint-level torque control. This hardware is currently under development and is not available yet.
Joint-level torque Control in iCub v1.x (current iCub)
iCub v1.x is not equipped with joint-level torque sensors, but only with four 6-axis F/T sensors mounted on the arms and on the legs. iCub v1.x thus exploits a model-based approach based on a modified Newton-Euler algorithm (Ref: iDyn library) in order to estimate joint-level torques from the four proximal sensors. The controller is thus distributed in three different levels:
Ports and connections
wholeBodyTorqueObserver and iCubInterface communicate through yarp ports:
iCub ports are:
- /icub/inertial provides 3DOF orientation tracker measurements
- /icub/<part>/analog:o provides calibrated F/T measurements (an offset is present, due to the stresses of mounting)
- /icub/joint_vsens/<part>:i acquires joint torque estimation from wholeBodyTorqueObserver module
wholeBodyTorqueObserver ports are:
- /wholeBodyTorqueObserver/inertial:i receive inertial data
- /wholeBodyTorqueObserver/<part>/FT:i reads F/T data from the analog ports
- /wholeBodyTorqueObserver/<part>/Torques:o provides joint torque measurements
The port connections required to run force control are thus:
- /icub/inertial -> /wholeBodyTorqueObserver/inertial:i
- /icub/<part>/analog:o -> /wholeBodyTorqueObserver/<part>/FT:i
- /icub/joint_vsens/<part>:i -> /wholeBodyTorqueObserver/<part>/Torques:o
Connecting all these ports for all the robot parts (left_arm, right_arm, left_leg, right_leg) is a laborious process and it's easy to make mistakes while typing the port names. For this reason, it's not recommended to make the connections manually, using the yarp connect command. Instead you can easily make all the necessary connections using the provided automated scripts. Refer to section How to start torque control
Available control modes
The key concept to comprehend how force control works and how to use it is the concept of control mode. The control mode represents the current control algorithm that is running on the firmware of the control boards to control a specific joint. For example, the position control modes implements a PID control that tracks the commanded trajectories, while the impedance control realizes a compliant position control by computing the reference torque that an inner torque control loop has to track, given an equilibrium position and the stiffness of a simulated spring. The control mode of a joint can be changed online, during the execution of your application, using the apposite yarp interfaces. In this way you can assign different control modes to different joints in order to obtain the desired behaviour (e.g. you can set some joints in position control mode to obtain a 'stiff' behaviour and other joint in impedance control mode to obtain a compliant behaviour).
Five different control modes are currently implemented in the firmware of the control boards:
- Position control mode ███
- (Typical input parameters: desired position, trajectory velocity)
- Position control is the standard control mode. In this control mode, the motors PWM is computed using a PID controller the receives in input the desired joint position and the current measurement from the joint encoders:
- Note that when you command a new joint position, you are not instantaneously assigning the reference qd in the above formula. Instead, a mimum jerk trajectory generator takes in input your commanded position and the desired velocity, and produces a smooth movement creating a sequence of position references qd tracked by the PID controller.
- Velocity control mode ███
- (Typical input parameters: desired velocity, acceleration)
- Velocity control mode allows you to control the robot by assigning a desired volocity/acceleration to a joint. The control law is the same of position control, but in this case qd is not directly controlled by the user, but it is obtained from the integration of the commanded user velocity. Also in this case a minimum jerk profile generator is used.
- Torque control mode ███
- (Typical input parameters: reference torque)
- Torque control mode allows you to directly control the robot joints torque:
- In this case the motors PWM is computed using a PID controller the receives in input the desired joint torque and the current measured joint torque. Additionally, a PWM offset can be added to the output of the control algorithm. If both the commanded reference torque and the PWM offset is set to zero, the robot joint will be free to be moved in the space (eventually it will move down as an effect of the gravity acting on that joint).
- Impedance Position control mode ███
- (Typical input parameters: desired position, trajectory velocity + desired joint stiffness and damping)
- Impedance control mode allows you to control the joint position and its compliance. In particular, you can control the equilibrium position of a virtual spring (using the standard yarp::dev::IPositionControl interface) and its stiffness/damping (using the yarp::dev::IImpedanceControl interface).
- The control is implemented in the DSP firmware as follows:
- Firstly, a reference torque is computed, accordingly to the input position and the commanded stiffness/damping parameters (Hooke's law). Secondly, the reference torque is tracked by a PID algorithm (same gains used by the torque control mode). By tuning the stiffness parameters, you can thus make the robot joint feeling like a hard or soft spring, while maintaining control on the desired joint position (note that the same mimum-jerk trajectory generator used by the position control is also used when position impedance control is running).
- Impedance Velocity control mode ███
- (Typical input parameters: desired velocity, acceleration + desired joint stiffness and damping)
- The impedance velocity control mode is the corresponding impedance mode using velocity control. The control law is the same of the impedance position control, but in this case qd is not directly controlled by the user, but it is obtained from the integration of the commanded user velocity (also in this case minimum jerk profile generator is used).
- Idle ███
- (Typical input parameters: none)
- This is not a real control mode, but represents the status of a joint in which the control is currently disabled (both because PWM has been deliberately turned off by the user or because a fault (e.g. overcurrent) occurred).
NOTE 1: The control mode of a joint can be set using the yarp::dev::iControlMode interface.
NOTE 2: When you send movement commands (i.e. position/velocity commands) to a joint, the obtained behaviour will change depending on the current control mode of the joint (e.g. a position command in position control mode will generate the standard stiff trajectory, while the same command executed in impedance control mode will change the equilibrium point of the simulated spring). Moreover some commands can also implicitly change the current control mode, even if no requests have been made using the yarp::dev::iControlMode interface. The following table summarizes the implemented behaviour:
|Send IPositionControl::positionMove command||Send IVelocityControl::velocityMove command||Send ITorqueControl::setRefTorque command||Send "enable PWM" command|
|position control mode||
|velocity control mode||
|impedance position control mode||
|impedance velocity control mode||
|torque control mode||
How to start torque control
Running the wholeBodyTorqueObserver
The first step to achieve joint level torque control / playing with torque & impedance interfaces / running the demoForceControl module is to start the wholeBodyTorqueObserver module and connect the corresponding ports. Note that if this module is not running and the ports are not properly connected, any attempt to change the control mode of the joints to force/impedance control mode will result in a protection fault (motor going in idle state).
To run wholeBodyTorqueObserver, be sure iCubInterface is running. Then, open the wholeBodyTorqueObserver manager using the manager.py script:
the .xml configuration file used by manager.py is located in the path: $ICUB_ROOT/app/wholeBodyTorqueObserver/scripts. If this is the first time that you are running the module, rename the file wholeBodyTorqueObserver.xml.template to wholeBodyTorqueObserver.xml, edit it and set the console and stdio tags (by default, these tags are filled with the string 'console', change them with the name of the pc on your LAN where the module will run. Further information about running applications using the application manager can be found here
After having started the application manager, click on the button Run on the left of the wholeBodyTorqueObserver module. Do not run the gravityCompensator module yet. After this, be sure the robot is not touching or interacting with anything or anyone, and click on the Connect button. In this phase, the F/T measurements are aligned to the model of the robot. Do not touch the robot until this procedure has finished (almost 5 seconds after the Connect button has been pressed). After this, you will see the port connections becoming green on the bottom part of the window and you will be ready to run the force demo.
- I'm clicking on the Run button in the application manager, but the module does not start. Why?
- Typically this means that one of the dependencies indicated in top part of the application manager window is not fulfilled. In particular:
- /icub/inertial port is not available (is iCubInterface running? check it)
- yarp cannot find the machine (set in the 'nodes' section) on which the module has to run. Check the name of the machine and your network connection.
Running the force control demo
Analogously to wholeBodyObserver, the demoForceControl module can be started using the application manager:
In the opened application manager window, you will see four different modules (one for each part of the robot: left_arm, right_arm, left_leg, right_leg). You can run them individually in order to start the demo on a specific robot part. Additionally, in the bottom part of the window, you can open four terminal windows which you can use to send commands to the modules through a yarp rpc port (please refer to the demoForceControl manual for a list of the available commands).
Using the robotMotor Gui
The robotMotorGui module provides a graphical interface in order to control iCub joints. The status of every joint is displayed using color codes associated to the different control modes. You can change the current control mode of the joint by right-clicking on the corresponding joint (a pop-up window will appear). You can send position commands to joints by moving the position slider. If a joint is running the impedance control mode, you will able to control the position of the joint while maintaining a compliant behaviour. Furthermore, you can change the control parameters (joint stiffness etc) by clicking on the PID/PIDT buttons.
NOTE: Not all the functionalities presented on the window are currently implemented. Please check at the bottom of this page for the list of known issues.
Using yarp interfaces to program your own application
Yarp provides a set of interfaces in order to have complete control on the behaviour of the robot joints. The typically used interfaces when running the force control on the robot are:
- yarp::dev::IControlMode to set and retrieve the control mode of a specific joint.
- yarp::dev::IPositionControl to send position commands to the robot joints.
- yarp::dev::IVelocityControl to send velocity commands to the robot joints.
- yarp::dev::ITorqueControl to obtain torque measurements and give explicit torque commands to a joint controlled in torque mode.
- yarp::dev::IImpedanceControl to set the impedance parameters (stiffness/damping) of a joint controlled in impedance mode.
For more details, please refer to the following resources:
- You can find a useful tutorial about making a simple application that uses the force control here
- You can also find a complete reference to the available YARP interfaces here
- You can also give a look at the source code of the force control demo
Mandatory parameters for force control
A complete reference on the robot configuration files can be found here. In this section only the parameters related to force control will be covered.
iCub\app\<your robot name>\conf directory contains the configuration files of the robot. The configuration of the robot is currently organized in two different levels.
- icub.ini: the general configuration file, describing all the devices/parts available on the robot.
- icub<robot_part>.ini: the configuration parameters for the specific part of the robot (arms/legs etc.)
In order to run force control, the following parameters are mandatory in the robot global configuration file icub.ini :
analog (rightarmanalog jointrightarmanalog leftarmanalog jointleftarmanalog righthandanalog lefthandanalog leftleganalog jointleftleganalog rightleganalog jointrightleganalog) [...] [rightarmanalog] network net_rarm deviceId (right_arm) period 10 [...] [jointrightarmanalog] network net_rarm deviceId (joint_right_arm) period 10
- The analog(<list of analog devices>) parameter represents the list of all the analog sensors available on the robot. This list includes both the physical 6-axis F/T sensors (4 devices: rightarmanalog, leftarmanalog, rightleganalog, leftleganalog) both the emulated joint-level torque sensors (again 4 devices, the same names with the joint prefix). Two additional devices (righthandanalog lefthandanalog) are included on this list and correspond to the hall-effect position sensors of the fingers. These two entries are of course mandatory for the robot hands, but are unrelated to force control.
- For each entry included in the list, a section [xxxanalog] is required. In this section it is specified the CAN bus network on which the sensor is located, the name of the device, and the period of the corresponding iCubInterface thread.
In order to run force control, the following sections are mandatory in the part-specific configuration files icub<robot_part>.ini :
- The following section contains the torque pid gains for ALL the joints present in the specified robot part. The configuration parameters reported below are an example of tipical torque PID gains for an iCub arm. Note that the gains for ALL the joints are included in this section, including also the joints that cannot run torque control (in the example below: joint 5,6,7).
[TORQUE_PIDS] // Proportional Derivative Integral IntegralLimit PWMLimit ScaleFactor>> offset TPid0 7 0 0 1333 1333 10 0 TPid1 7 0 0 1333 1333 10 0 TPid2 30 0 0 1333 1333 10 0 TPid3 30 0 0 1333 1333 10 0 TPid4 50 0 0 1333 1333 10 0 TPid5 0 0 0 1333 1333 10 0 TPid6 0 0 0 1333 1333 10 0 TPid7 0 0 0 1333 1333 10 0
- The following sections contain the configuration parameters for the force/torque sensors, both the real and the emulated ones. In the presented example right_arm is the real 6-axis force/torque sensors mounted on the robot right_arm. It is configured to transmit data with a Period of 2 ms. The output of the sensor will be avilable on /icub/right_arm/analog:o port. The second entry is named joint_right_arm. This is an emulated joint torque sensor, that opens an imput port /joint_vsens/right_arm:i. The module WholeBodyTorqueObserver will be responsible of: 1.reading data from the real sensor 2.computing robot dynamics. 3.Sending the output to joint_right_arm input port. In this way the joint torques are transmitted to the control boards through the CAN bus. If CanEcho flag is set to 1, you can also read back the transmitted CAN data on the port /icub/joint_right_arm/analog:o.
[analog right_arm] CanAddress 0x0D Format 16 Channels 6 Period 2 UseCalibration 1 [analog joint_right_arm] CanAddress 0x0C Format 16 Channels 6 Period 2 UseCalibration 1 CanEcho 1 PortName /joint_vsens/right_arm:i
- In order to associate the right channel of the virtual joint torque sensor to the corresponding motor channel, a map is required. You can find these information in [GENERAL] section. TorqueId the address used by the joint torque sensor to transmit data on the CAN bus, and TorqueChan is the corresponding channel. In order to transmit the torque data on the CAN bus, the floating point torque value is converted into a 16-bits value using a conversion factor, represented by the TorqueMax parameter.
[GENERAL] Joints 8 MaxDAC 100 100 100 100 100 100 100 100 AxisMap 0 1 2 3 4 5 6 7 Encoder 11.375 11.375 11.375 11.375 706.67 978.46 978.4 6.66 Zeros 178 33 262.7422 171 90 -20 -52 262.5 TorqueId 0x0C 0x0C 0x0C 0x0C 0x0C 0 0 0 TorqueChan 0 1 2 3 4 0 0 0 TorqueMax 8 8 8 8 2 2 2 2
Basically the TorqueMax parameter represents the maximum torque value (in Newtons) that can be interpreted by the DSP using a 16 bits representation. For example if TorqueMax = 8 Newtons, the internal representation of the torque is:
Torque[N] Torque[DSP representation 16-bits] +8 32767 +4 16384 +2 8192 +1 4096 0 0 ... ... -8 -32768
Meaning that the resolution of the sensor is 8/32767 = 0,000244 N. Of course if you decrease the value of the TorqueMax parameter the resolution of the sensor will increase but the maximum representable torque will decrease, and torque values above the specified parameter will be saturated before transmitting them on the bus. Please note this parameter only affects the representation of the torque insided the control board DSP but is not changing/adjusting the resolution of any physical sensor/ADC converter. One final remark: remember that that this value will also affect the representation of the maximum stiffness and damping of joint.
Suggested PID gains
The following gains are currently used on iCub-Genova01:
[TORQUE_PIDS] // Proportional Derivative Integral Integral Limit PWM Limit scale factor >> offset TPid0 -8 0 0 1333 1333 10 0 TPid1 -8 0 0 1333 1333 10 0 TPid2 -30 0 0 1333 1333 10 0 TPid3 -30 0 0 1333 1333 10 0 TPid4 -50 0 0 1333 1333 10 0 TPid5 0 0 0 1333 1333 10 0 TPid6 0 0 0 1333 1333 10 0 TPid7 0 0 0 1333 1333 10 0
[TORQUE_PIDS] // Proportional Derivative Integral Integral Limit PWM Limit scale factor >> offset TPid0 8 0 0 1333 1333 10 0 TPid1 8 0 0 1333 1333 10 0 TPid2 30 0 0 1333 1333 10 0 TPid3 30 0 0 1333 1333 10 0 TPid4 50 0 0 1333 1333 10 0 TPid5 0 0 0 1333 1333 10 0 TPid6 0 0 0 1333 1333 10 0 TPid7 0 0 0 1333 1333 10 0
[TORQUE_PIDS] // Proportional Derivative Integral Integral Limit PWM Limit scale factor >> offset TPid0 8 0 0 1333 1333 10 0 TPid1 -8 0 0 1333 1333 10 0 TPid2 8 0 0 1333 1333 10 0 TPid3 -8 0 0 1333 1333 10 0 TPid4 0 0 0 1333 1333 10 0 TPid5 0 0 0 1333 1333 10 0
[TORQUE_PIDS] // Proportional Derivative Integral Integral Limit PWM Limit scale factor >> offset TPid0 -8 0 0 1333 1333 10 0 TPid1 8 0 0 1333 1333 10 0 TPid2 -8 0 0 1333 1333 10 0 TPid3 8 0 0 1333 1333 10 0 TPid4 0 0 0 1333 1333 10 0 TPid5 0 0 0 1333 1333 10 0
If you are going to modify the PID gains of your robot, please pay attention to the signs and remember to change the gains little by little to avoid dangerous oscillations / unstable behaviours.
- NOTE: integral action is currently under debug and should be not used for now.
Controlling iCub joints using force control is probably one of the most intriguing features of our robotic platform. However, this control modality has been only recently added, and some parts of the control software are still currently under development. This means that force control has still to be consider an *experimental* feature, and you are encouraged to report your problems/eventual erratic behaviour observed using your robot.
Currently (6/10/2010, BLL firmware build 50, 4DC firmware build 38) the following issues are known (and we are working on it).
- Erratic behaviour using force control/impedance control when a joint exceeds the allowed angular limit.
If you are commanding a force that brings the joint beyond the allowed joint limits (or you are pushing a joint beyond its limit in impedance mode), the controller will turn off the PWM in order to protect the tendons from breaking. However, if the joint is pushed back inside the allowed range of motion, the PWM will be turned on again, causing a sudden quick motion of the joint. We are currently fixing this problem with a new firmware release. For now, please avoid to push the joints beyond their limits.
- Torque control PIDs.
The current firmware implementation uses only a proportional gain (+ filter to improve control stability) while tracking a commanded reference torque. We are currently investigating on the effects of integral gain in order to improve tracking accuracy. To avoid problems, in your robot (.ini configuration files) the integral gain has been set to zero on purpose. You are warned that playing with PID gains (without knowing what you are going to do) may lead to control instability (and likely breaking of joint tendons). We do not suggest to change your torque PID gains without first asking suggestion about it.
- Integral Control.
The integral accumulator (torque PID) is not set back to zero when the joint exceeds its angular limits.
- Watchdog on commanded torques missing.
Torque control should be stopped if the reference torques are not commanded by the user every xxx milliseconds (configurable timeout). Same issue regards the feedforward term in impedance control. This features will be implemented in the next firmware release.
- Position commands in torque control mode.
During torque control mode, sending a position command will set back the control mode to position mode. This behaviour is made on purpose, because you are allowed to send position commands ONLY in IMPEDANCE control mode, but and not in torque mode (you can send only torque commands in torque mode). However this change of control modality can cause the robot to quickly move to the commanded position, without using the minimum-jerk trajectory generator. Please avoid sending position commands in torque mode.
- gravityCompensator module.
It's currently under debug. Do not use this module yet.
- Which joints can be currently controlled using torque/impedance control mode?
- Currently torque/impedance control is supported only on the following joints:
- The complete shoulder (3DOF, joints: 0 1 2)
- The elbow (joint: 3)
- Wrist pronosupination (joint: 4)
- The complete hip (3DOF, joints 0 1 2)
- The knee (joint: 3)
- What are the measurement units employed by the YARP torque / impedance interfaces?
- yarp::dev::ITorqueControl::getTorque() returns the current joint torque in [Nm]
- yarp::dev::IImpedance Control::getImpedance() returns the current joint stiffness in [Nm/deg] and the currnt joint damping in [Nm/(deg/s)]
- What is the maximum joint torque that can be commanded?
- Depends on the joint. For example, typical maximum torque for leg joint is 12Nm, while for the arm is 8Nm.
- You can modify this values in the .ini configuration files of your robot. Remember that since the torque is currently internally represented by a 16 bit value, if you increase the maximum allowed torque value, the resolution of the measurement will be reduced (For further information please refer to the configuration files section.)
- You can also use the yarp method yarp::dev::ITorqueControl::getTorqueRange() in order to retrieve the max/min torque allowed for the specified joint (but you cannot currently modify these values).
- What is the control frequency?
- Torque PID control is performed by the DSP of the controller board, so the control frequency is fixed to 1KHz. However, other parameters affect the effective control speed. For example, torque measurements are obtained from the 6-axis force sensors every <x> millisecond, where <x> is the value of parameter 'period' specified in the section [analog <sensor_name>] of your .ini configuration files. Typically this parameter is set to 1 or 2 milliseconds depending on your hardware capabilities (iCub version). Furthermore, the performance of the wholeBodyTorqueObserver module, which is responsible of the dynamic computation, depends on the computational power of the machine on which it is executed (high performance machine suggested). The main thread of wholeBodyTorqueObserver tipically runs @ ten milliseconds.
- What is the suggested stiffness value in order to start playing with impedance control?
- A very soft spring behaviour can be obtained setting stiffness to 0.8[Nm/deg] and damping to 0.01[Nm/(deg/s)]. You can then gradually increase these values in order to simulate an harder spring. Always remember to set a damping in order to avoid joint oscillations (no damping = ideal spring that will oscillate forever!). Suggestion: the higher is the stiffness, the higher must be the damping parameter.
- What is the default stiffness value when I start the impedance control?
- If you just start the iCubInterface + wholeBodyTorqueObserver and then you set a joint in impedance control mode, the stiffness/damping parameters will be zero by default and the joint will be free to move. This is made intentionally because it's not possible to know the optimal joint stiffness for your application. Moreover, if you start the robot with a high stiffness value and one joint is already pushing against an obstacle you may damage the joint tendons. Setting a default stiffness to zero is the safest mode to protect your robot.
- If you run the demoForcecontrol, instead, the default stiffness/damping is 0.8[Nm/deg] and 0.01[Nm/(deg/s)] respectively.
- Should I care about the control mode when I close my application? And during the calibration of the robot, what happens if one joint is left in impedance control?
- Yes, you should. Next iCub user may not know if you left one arm in position or impedance control mode! It's thus a good practice to close your application returning the control modes of the joint you used to their previous configuration. With great power comes great responsibility.
- Regarding the second question, all the calibrators are allowed to change the control mode to position control (obviously!)
- What is the difference between a impedance control with zero stiffness and torque control?
- If the stiffness and damping parameters are both set to zero when using impedance control, you will obtain the same behaviour of running torque control and commanding a zero reference torque.
- Is there any quick tool in order to change online the desired position of the joint/stiffness/control mode etc?
- The robotMotorGui module provides a graphical interface that shows which boards are controlled in position/torque/impedance mode etc. You can change most of the control parameters using this Gui.
- I want to dump / plot the torque data of the joints. Is there any tool available?
- You can use the controlBoardDumper module and the portScope tool (located in iCub\contrib\src\modules\portScope).
- My joint goes in idle mode when I change from position control to impedance control, why?
- The control board (DSP) is not receiving the joint torque measurement (a watchdog is implemented in the firmware in order to disable the control if no torque measurements are received in 200ms). This probably means that:
- WholeBodyTorqueObserver module is not running.
- WholeBodyTorqueObserver ports are not connected with iCubInterface.
- WholeBodyTorqueObserver module is running on a slow machine and the computation time exceeded 200ms.
- When a joint is in impedance position control mode, I can observe a small position error respect to the commanded position. Why?
- This is a normal behaviour because gravity is acting on the joint and, unless you compensate for it, an accurate position tracking is not possible. In particular, if the joint stiffness is small (soft spring) the position error will be noticeable. On the contrary, the position error will be small when you use high stiffness values.
- Can I change the stiffness of a joint in realtime during the execution of a commanded trajectory?
- Yes, you can.
- I noticed that the power cables on the back of the elbow mechanically interfere with torque measurements of the arm joints.
- Yes, if the power cables push on the elbow joint, the F/T sensor will measure the resulting forces and the control will react to them. Try to fix the cables in a way that they do not interact with the joint.
- I set different control modes on different joints (i.e. impedance mode on joint x, position mode on joint y) but now I forgot everything. How can I retrieve the status of the joints?
- From your software application: you can use yarp::dev::IControlMode::getControlMode() method.
- In general: You can use the robotMotorGui application to monitor the status of your control boards.
- Is there any tutorial application about how to write a module that uses force control?
- Is gravity compensation available? And cartesian impedance control?
- The module gravityCompensator is currently in the debug phase. Do not use it yet. Cartesian impedance control is still in research phase.
- I'm controlling my robot in impedance/torque control mode. I'm pushing on the shoulder and I noticed that... WTF! the forearm moves?!? Why?
- The control algorithm implemented in your iCub v1.x assumes that you are applying external forces only on the end effector (wrists, ankles). Of course this because your robot does not have real joint torque sensors, and some assumptions are needed to perform the dynamic calculation (refer also to the iDyn page). Because of this, if you exert an external forces not on the end effector of your robot, some miscalculation of the joint torques will occur.
- Of course you can change the external forces application point, but it will be always a fixed point.
- Can I change the PID gains of torque control?
- You are not recommended to do it, because wrong gains may cause control instability and eventually break joint tendons. Integral control is experimental and not currently recommended. Please ask before playing with PID gains and avoid random numbers.
- Where are located the .ini configuration files?
- In iCub\app\<your robot name>\conf directory. Read section
- I found a bug! And now??
- Please report bugs on rc-hackers mailing list.
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More coming soon...
The IIT force control group: Matteo Fumagalli, Serena Ivaldi, Marco Randazzo, Francesco Nori