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        1 Lab+Hwk 2 - (DISAL) at EPFL
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1.  I    How robust is  your new controller when the first robot tries to avoid a wall  How constant    3 k      x   x  Supervisor is useful agent in Webots  See the User Manual for more information on supervisors        NC  JP  CC  SC741  Lab Hwk 2  Coordinated and collective movements in Webots    Swarm Intelligent Systems Research Group EPFL       is the distance between both robots  What happens to the effective forward  speed of the first robot when the follower is introduced    Qs  5   Recall the performance of your flocking controller in Iz  What did you  observe  How does avoiding obstacles affect the performance of the  controller    Qs  5   What happened when you increased the speed of the leader in S4  Why did  this occur  Does this reflect what would occur on real robots  or is it just an  aspect of the simulation environment    Qio  5   How does the flocking capabilities of robots that can track the leader with the  same bias speeds compare to the previous flocking strategy  What about  with different bias speeds  What does this tell you about the importance of  Reynold s different rules    Q    5   What would happen if we maintained the same type of system with a  designated leader robot  and increased the number of followers  Recall that  the communication abilities will only work for a finite range  Can you think  of a way which the system could be changed to work better in this situation    Q12  5   In this program  although they are given the information  we do
2.  following formulas    R    R amp    axle_length  le  Vri  R Ry    rl    with R   and R   being the radius of the left and right wheel of robot n   respectively  and axle_length being the distance between the wheels of a  single robot  With these formulas  you can calculate R    R   and some term    which is constant for any velocity radius pair  This allows you to calculate  the wheel speeds of the follower robot as a function of their radius with  v  aR     Implement formation flocking behavior using flocking2 wbt  leader cc  and  follower2 cc  and save it as follower2 cc  In this situation  robot 2 can  observe the wheel speeds of robot 1  and robot 3 can observe the wheel  speeds of robot 2  robot 3 should use the same equations as robot 2 by  symmetry   You should initially just have the leader travel in a circle  with  no obstacles  but may try more complicated formations if you wish  Take  note of how the system performs    Try changing the leader speed to different values  Note what happens when  turning if you set the leader speed to a very high value   Points for this  problem will be assigned based on the answer to the corresponding question  in the homework         NC  JP  CC  SC741  Lab Hwk 2  Coordinated and collective movements in Webots    EPFL    Swarm Intelligent Systems Research Group EPFL        j             doe    Figure 1  The robot formation first translates a length T and than rotates along a circle of radius  R  d represents the inter robot separatio
3. 0     2 First Part  Simple Collective Motion    In the first lab  you programmed an obstacle avoidance behavior using the  distance sensors of the Khepera  In  correll webots  you find the worlds  flockingl wbt  flocking2 wbt  and flocking3 wbt  and controllers leader  leader3   followerl  follower2  follower3  and flock_super  In all these worlds  there will be  both leader and follower robots  Leader robots are red in color  while followers are  green  Copy all worlds and the controllers into your webots directory    The controller Jeader cc enables you to control a robot using the arrow keys on  your keyboard  The goal of the first part of this exercise is to implement a simple  following behavior using the Braitenberg vehicle framework in followerl cc that  allows a follower robot to follow a leader robot     Remark  In order to facilitate the grading of exercise set  copy all your controller   supervisor  and world modules    to   correll ab02 youruser   name webots worlds and  correll lab02 yourusername webots controllers       NC  JP  CC  SC741  Lab Hwk 2  Coordinated and collective movements in Webots    Swarm Intelligent Systems Research Group EPFL       only after you finish the exercise  World files contain all the information  not only for recovering the environment but also the corresponding  controllers and supervisor programs  make sure that you save them and  deliver as part of your solution even if not explicitly mentioned  Answer  to the theoretical question
4. Swarm Intelligent Systems Research Group EPFL       1 Lab Hwk 2  Coordinated and collective movements in  Webots    This laboratory requires the following equipment     C programming tools  gcc  make    Webots simulation software   Webots User Guide   Webots Reference Manual     The laboratory duration is about 2 hours  Homework will be due on the 6 day  after your lab session  at 5 p m  Please copy your solutions  plots  descriptions     doc    ps    html    pdf    txt   movies  and so on into the directory    correll lab02 yourusername   The directory   correll lab02 allows you to write but  not to read  The corresponding Webots files  see section 2 for details  should be saved  in a sub  directory webots   Please strictly follow these guidelines to facilitate the  grading process  and keep in mind that no late solutions will be accepted unless  motivated by health reasons  doctor certificate required      1 1 Grading    In the following text you will find several exercises and questions  The notation Ix  means that the problem has to be solved by implementing a piece of code and  performing a simulation  The notation Sx means that the question can be solved using  only additional simulation  The notation Qx means that the question can be answered  theoretically without any simulation  Please use this notation in your answer file    The number of points for each exercise is given between parenthesis  The total  sum of the points is for the laboratory and homework part is 10
5. ccomplished using Braitenberg vehicles  You will now modify the  Braitenberg obstacle avoidance routine to accomplish this behavior     I   10   Load flocking 1 wbt  The leader robot is controlled by the leader controller to  provide manual control  Modify the follower  controller to obtain a Braitenberg  vehicle able to follow the leader robot  Save your solution as follower1 cc  Hint  Have  a look at the Braitenberg vehicles that implement light following and avoidance from  last exercise  what is the difference between them       Both range and channel are parameters that can be set in the Scene Tree Window  The channel  can also be changed dynamically by the robot itself        NC  JP  CC  SC741  Lab Hwk 2  Coordinated and collective movements in Webots    Swarm Intelligent Systems Research Group       3 Second Part  Formation Control    For some applications  e g   lawn mowing  vacuum cleaning  it might be useful  for having your flock maintain a relative formation  i e  if the robots form a line  and  the leader turns  the line itself turns   Figure 1 shows an example of this type of  behavior  You will now implement relative formation flocking  using robot wheel    speeds     Q2  10   Compute the left and right wheel speeds of robot 2  v12  vr2  as a function of    13 5      S4         robot 1  vu  vri   shown in Figure 2 1  as they perform a translation of a  length T and a rotation in formation of radius R while maintaining the  distance d between them  Hint  use the
6. n t give a  physical method by which the follower robots track the relative position of  the leader robot  What are some ways that this could be accomplished with  real robots  What might be the pros and cons of these strategies  Recall that  robots do NOT have access to their global coordinates        NC  JP  CC  SC741  Lab Hwk 2  Coordinated and collective movements in Webots    
7. n that should be maintained during the movement     4 Third Part  Robust Flocking    In this part  you will attempt to implement flocking using the relative positions of  robots  Copy the flocking3 wbt world and leader3  follower3  and flock_super  controllers to your home directory  flock_super is the controller for the world  supervisor      The robots begin in a diamond formation with the leader at the head   The leader will travel a random path around the arena  Followers have the leader  robot   s relative range  distance between leader and follower  and bearing  relative  angular offset of the leader   s location in radians  i e  0 is straight ahead  7 2 is directly  right   7 2 is directly left  available to them     I5 30   Implement a flocking algorithm for the follower robots so that the diamond  formation is roughly maintained  using the relative leader position and  proximity sensors  You must still use obstacle avoidance  You should use  the same forward bias speed for all the follower robots  Save your code as  follower3 cc    S  6 10   Test the robustness of the controller you implemented in question Is with  different robot bias forward speeds  Randomly assign different bias speeds to  each robot within an interval   A and quantitatively determine the threshold A  where your control schema breaks  Higher thresholds will garner more points   but will also be more vigorously verified     5 Homework    Q  5   Recall the performance of your following controller in
8. s  a description of where the files can be found  and their names  plots  movies   and so on should be saved instead in the  directory  correllNab02 ourusername  Do not save your controller   supervisor  and world modules in this directory but use the appropriate  subdirectories     2 1 Communication    In this lab  certain information must be transferred between robots  This could be  accomplished using wireless radio transmissions or by broadcasting data with  infrared  Robots that need to communicate have two additional nodes  namely an  emitter and a receiver node  allowing for emitting and receiving data over a fixed  range and a dedicated  arbitrary channel     This will be used to allow robots to track  wheel speeds  part 3  and relative positions  part 4  of other robots     2 2 Flocking Rules    In    Flocks  Herds  and Schools  A Distributed Behavioral Model  in Computer  Graphics    by Reynolds  a successful simulation of flocking is described  Reynolds  lists several rules which he determines are needed for realistic flocking  They are     1  Collision Avoidance  avoid collisions with nearby flockmates  2  Velocity Matching  attempt to match velocity with nearby flockmates  3  Flock Centering  attempt to stay close to nearby flockmates    In this lab  you will explore the influence and importance of each of these rules     2 3 Implementing a following behavior    The most primitive type of flocking is one robot  follower  following another  leader    This can be a
    
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