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Ă la recherche dâun contrat de professionnalisation en robotique
Actuellement Ă©tudiant en robotique Ă Polytech Sorbonne, je suis Ă la recherche dâune opportunitĂ© en contrat de professionnalisation pour approfondir mes compĂ©tences et contribuer activement Ă des projets innovants.
Avec une solide expĂ©rience en traitement du signal, traitement dâimage et dĂ©veloppement logiciel (Python, C, C++), jâai eu lâoccasion de travailler sur des systĂšmes haptiques 3D, la vision par ordinateur et la conception de robots interactifs. Jâai Ă©galement explorĂ© ROS 1 et ROS 2.
You Should Know:
Here are some practical commands and codes related to robotics, AI, and embedded systems:
1. ROS (Robot Operating System) Commands:
- Initialize a ROS workspace:
mkdir -p ~/catkin_ws/src cd ~/catkin_ws/ catkin_make
- Launch a ROS node:
rosrun <package_name> <node_name>
- Check ROS topics:
rostopic list
2. Python for Robotics:
- Example of a simple ROS publisher in Python:
#!/usr/bin/env python import rospy from std_msgs.msg import String </li> </ul> def talker(): pub = rospy.Publisher('chatter', String, queue_size=10) rospy.init_node('talker', anonymous=True) rate = rospy.Rate(10) # 10hz while not rospy.is_shutdown(): hello_str = "hello world %s" % rospy.get_time() rospy.loginfo(hello_str) pub.publish(hello_str) rate.sleep() if <strong>name</strong> == '<strong>main</strong>': try: talker() except rospy.ROSInterruptException: pass3. Linux Commands for Embedded Systems:
- Check system information:
uname -a
- Monitor system processes:
top
- Cross-compile for ARM architecture:
arm-linux-gnueabi-gcc -o output_program input_program.c
4. Computer Vision with OpenCV (Python):
- Capture video from a camera:
import cv2 cap = cv2.VideoCapture(0) while True: ret, frame = cap.read() cv2.imshow('frame', frame) if cv2.waitKey(1) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows()
What Undercode Say:
Robotics and AI are rapidly evolving fields, and mastering tools like ROS, Python, and Linux is essential for innovation. Whether you’re working on embedded systems, computer vision, or AI-driven robotics, these commands and codes provide a solid foundation. For further learning, explore resources like the ROS Wiki and OpenCV Documentation. Keep experimenting and pushing the boundaries of technology!
References:
Reported By: Oualid Boudemagh – Hackers Feeds
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