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When I saw the RoboMaster S1 for the first time, I was completely stoked. I was impressed by its sturdy look. It’s a powerful hefty drone weighing around 7 pounds and feels like a heavy tank. The DJI Robomaster S1 is undoubtedly one of the most complex battling robot that you can build yourself and control with your smartphone. You can install a special app to play games, drive around, and even shoot small water-based pellets at targets or other RoboMaster flawlessly.

Everything about the S1 is extremely sturdy and well-built. It’s mostly heavy-duty plastic. The DJI RoboMaster S1 arrives completely disassembled requiring you to build it from the ground up using the 46 customizable components that make up the unit. It displays AI technology in six cool ways, including: line recognition, vision marker recognition, people recognition, clap recognition, gesture recognition, and S1 recognition. Line recognition allows users to program the S1 to cruise along a line placed on the ground. AI technology lets the S1 recognize gestures, sounds, and even other S1 robots. Working with the RoboMaster S1 opens the doorway to AI learning, giving you a practical introduction to the technologies of tomorrow.

In my previous blog post, I showed how to assemble Robomaster S1 for the first time. I also showed how to connect to Robomaster via Python and Scratch programming language. In this blog post, I will show you how to hack into Robomaster S1 bot in easy steps. Let’s get started –

What do you need?

Clone the repository

git clone https://github.com/collabnix/robomaster

  • Unzip the Android SDK Platform‐Tools somewhere in your system
  • Use the Intelligent Controller Micro USB Port and connect the S1 to your computer.
  • Start the Robomaster S1 application. Go to the Lab, create a new Python application and paste the following code:
def root_me(module):
 __import__=rm_log.__dict__['__builtins__']['__import__']
 return __import__(module,globals(),locals(),[],0)
builtins=root_me('builtins')
subprocess=root_me('subprocess')
proc=subprocess.Popen('/system/bin/adb_en.sh',shell=True,executable='
/system/bin/sh',stdout=subprocess.PIPE,stderr=subprocess.PIPE)
  • Ensure that you run the Code within the S1 Lab. If you followed the steps correctly there should be no compilation errors. The Console will show: Execution Complete
  • Ensure that you don’t close the S1 Application! Open an Explorer window and go to the directory which holds the earlier extracted Android Platform Tools. Open a PowerShell in this directory (Shift + Right‐Click)
  • It’s time to run the ADP command to list the devices:
.\adb.exe devices

You should see something like this:

Screen Shot 2021-07-21 at 2 04 14 PM
  • Execute:
.\adb.exe shell
Screen Shot 2021-07-21 at 2 04 35 PM

DJI Specific Commands

dji
dji_amt_board       dji_derivekey       dji_monitor         dji_verify
dji_blackbox        dji_hdvt_uav        dji_net.sh          dji_vision
dji_camera          dji_log_control.sh  dji_network
dji_chkotp          dji_mb_ctrl         dji_sw_uav
dji_cpuburn         dji_mb_parser       dji_sys

Checking IP address

 ip a
1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536 qdisc noqueue state UNKNOWN
    link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
    inet 127.0.0.1/8 scope host lo
       valid_lft forever preferred_lft forever
8: rndis0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP qlen 1000
    link/ether 0a:f8:f6:bb:55:64 brd ff:ff:ff:ff:ff:ff
    inet 192.168.42.2/24 brd 192.168.42.255 scope global rndis0
       valid_lft forever preferred_lft forever
9: wlan0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast state UP qlen 1000
    link/ether 60:60:1f:cd:95:f7 brd ff:ff:ff:ff:ff:ff
    inet 192.168.2.1/24 brd 192.168.2.255 scope global wlan0
       valid_lft forever preferred_lft forever

Checking the type of Hunter.py file

./hunter.py
vision_ctrl.enable_detection(rm_define.vision_detection_marker)  

Checking Memory Stats

127|root@xw607_dz_ap0002_v4:/system/bin # cat /proc/meminfo
MemTotal:         271708 kB
MemFree:           59076 kB
Buffers:           18700 kB
Cached:            94776 kB
SwapCached:            0 kB
Active:           117648 kB
Inactive:          58020 kB
Active(anon):      62724 kB
Inactive(anon):      136 kB
Active(file):      54924 kB
Inactive(file):    57884 kB
Unevictable:         500 kB
Mlocked:               0 kB
HighTotal:             0 kB
HighFree:              0 kB
LowTotal:         271708 kB
LowFree:           59076 kB
SwapTotal:             0 kB
SwapFree:              0 kB
Dirty:                36 kB
Writeback:             0 kB
AnonPages:         62696 kB
Mapped:            12308 kB
Shmem:               176 kB
Slab:              12712 kB
SReclaimable:       6248 kB
SUnreclaim:         6464 kB
KernelStack:        2152 kB
PageTables:         1300 kB
NFS_Unstable:          0 kB
Bounce:                0 kB
WritebackTmp:          0 kB
CommitLimit:      135852 kB
Committed_AS:     341612 kB
VmallocTotal:     745472 kB
VmallocUsed:      153220 kB
VmallocChunk:     432132 kB

Top Command

oot@xw607_dz_ap0002_v4:/system/bin # top



User 8%, System 13%, IOW 0%, IRQ 0%
User 126 + Nice 0 + Sys 203 + Idle 1138 + IOW 2 + IRQ 0 + SIRQ 1 = 1470

  PID PR CPU% S  #THR     VSS     RSS PCY UID      Name
14020  1   3% S    28 146468K   8588K  fg root     /system/bin/dji_camera
  247  3   3% S    24 213128K  14876K  fg root     /system/bin/dji_vision
  483  1   2% S     8 112412K  11072K unk root     /data/python_files/bin/python
  233  1   2% S    22  44460K   5232K  fg root     /system/bin/dji_hdvt_uav
  239  0   1% S    15  31368K   4464K  fg root     /system/bin/dji_sw_uav
  237  0   0% S    13  24208K   4092K  fg root     /system/bin/dji_network
   41  0   0% S     1      0K      0K  fg root     kworker/0:1
  245  1   0% S     6  31904K  20492K  fg root     /system/bin/dji_blackbox
   69  1   0% S     1      0K      0K  fg root     mmcqd/0
  243  1   0% S    27  50832K   9300K  fg root     /system/bin/dji_sys

References

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Categories: ARMRobotics

Ajeet Raina

My name is Ajeet Singh Raina and I am an author of this blogging site. I am a Docker Captain, ARM Innovator & Docker Bangalore Community Leader. I bagged 2 special awards last year(2019): Firstly, “The Tip of Captain’s Hat Award” at Dockercon 2019, San Francisco, and secondly, “2019 Docker Community Award“. I run Collabnix Community Slack with over 5300+ audience . I have built popular GITHUB repositories like DockerLabs, KubeLabs, Kubetools, RedisPlanet Terraform etc. with the support of Collabnix Community. Currently working as Developer Relations Manager at Redis Labs where I help customers and community members adopt Redis. With over 12,000+ followers over LinkedIn & close to 5100+ twitter followers, I like sharing Docker and Kubernetes related content . You can follow me on Twitter(@ajeetsraina) & GitHub(@ajeetraina)

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