rdk-project-showcase
#21
Posté 19 mai 2025 - 12:18
#22
Posté 19 mai 2025 - 12:23
#23
Posté 19 mai 2025 - 12:35
#24
Posté 19 mai 2025 - 12:35
#25
Posté 19 mai 2025 - 12:36
#26
Posté 20 mai 2025 - 05:04
#27
Posté 25 juin 2025 - 09:29
#28
Posté 04 juillet 2025 - 18:43
https://youtu.be/seW...Lf_geoZEMTOqmWR
#29
Posté 09 août 2025 - 05:05
#30
Posté 29 août 2025 - 02:53
1. Face/human body recognition.
2. Face sketching into form of data and storing them with time, and date in database.
3. Attach a one layer laser barrier to easily detect housebreak in night time, and add sirens and emergency warning
#31
Posté 17 novembre 2025 - 02:48
#32
Posté 17 novembre 2025 - 02:54
#34
Posté 24 novembre 2025 - 05:11
https://github.com/b...dk_x5_imx477_4k
#35
Posté 24 novembre 2025 - 08:18
https://github.com/D...timedia-samples
Try to revise the vp_sensors config to 4k and recompile
img_v3_02sb_9c18971c-340e-409e-933d-3aee706e789g.jpg 43,82 Ko
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#36
Posté 29 janvier 2026 - 03:40
With just an RDK X5 + Sensor module,
you can run vision + speech + LLM-driven robot applications locally!
More Details in: https://medium.com/@...hedType=initial
img_v3_02ud_a1b2ca18-694e-4a84-a5eb-9bd2c6f9e42g.jpg 234,19 Ko
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#37
Posté 30 janvier 2026 - 22:48
#38
Posté 20 février 2026 - 08:25
#40
Posté 09 mai 2026 - 04:00
Many think bipedal robots are exclusive toys for elite labs, with million-dollar price tags and impossible algorithms. But with the RDK X5 and the open-source RL ecosystem, building an AI-driven biped in your own garage or dorm is now a reality.
I've navigated the pitfalls from simulation to hardware so you don't have to. Here's the "level-up" roadmap to mastering the Sim2Real loop:
The Workflow:
1 Sim Training: Massive parallel RL in Isaac Gym.
2 Validation: Cross-engine testing for better generalization.
3 Deployment: Real-world testing via RDK X5 and ROS 2.
Check out the full "Zero to One" tutorial here:
78.png 1,08 Mo
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