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PYXIS Robocar
@ExplorerRobocar
4G/LTE Robocar, which is going to become more and more autonomous... Developed by
youtube.com/channel/UC-oLW…Joined January 2021
PYXIS Robocar’s Tweets
PYXIS just performed today its craziest #LTE #teleoperated #mission ever!!
Bringing a petanque jack to a friend, a few kilometers from the house, next to a shopping mall...
An incredible experience... Raw footage to be uploaded in the Pyxis YouTube channel...
Video x12👇
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This children #Buggy can also be radiocontrolled!!!
I wonder if it could be hacked, so that, PCs, sensors and so on could be easily installed for an nice UGV test platform...
It costs +450€, and reaches 7 km/h...
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This is a bible!! Respect!!
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The full text of my Ph.D. thesis on autonomous off-road driving is now available online. It is entitled "Cognitive Processing in Behavior-Based Perception of Autonomous Off-Road Vehicles" and proposes a novel human-inspired perception design for robots.
researchgate.net/publication/36
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Installing an #RxMux board, to be able to swith between #autopilot and R/C #receiver... Ideal for debugging!!
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Today, test of a PIWOKA camera, on an old non stabilized platform...
It's maybe not a GOPRO, but the result is quite impressive for 19€!
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Next objective of PYXIS 😉
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Fortunately, some interactions are more fun!!!
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Sad...
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I already proposed this solution in a past tech contest, but unfortunately without success...
Maybe there would be a better solution than an arm to collect the wastes?
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This is Helsinki in 2022. We found solution to deliver burgers with autonomous robots but not for collecting trash from our streets.
Is there an autonomous robot that does the job (not beach cleaning or sweeping bots) or should we start making one? twitter.com/IhmistenK/stat…
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Very interesting comparison between #depth #sensor #technologies...
- #Kinect, #Xtion, #Intel #RealSense L515... are ToF
- #Astra series... are Structured Light
- #Intel #RealSense D455, D435... are a mix between Structured Light and Stereo
(Source: kudan.io/blog/depth-cam)
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When the #robocar performs longer missions, it is accompanied by someone who watches it, and lifts it across public roads...
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When I meet a good friend of mine (Hi Jean-Pierre! 😉) during a 30mn #teleoperated mission (performed today)...
Of course, impossible to follow him in the expressway, because of the legislation...
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Currently testing the #ROS gbplanner package (github.com/ntnu-arl/gbpla) from and used in the Subterranean Challenge (#SubTChallengee) in #simulation.
It's insane!! Perception, mapping, localization, path planning, control... An incredible amount of work!!
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The "Elevation Map" #ROS package has been tested in the real life (living room).
"Grid Map", which powers it, is based on #elevation data. So, in consequence and as planned, the table is seen as a miniature hill, and a mobile #robot #path #planning #algorithm would bypass it...
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The main #drawback of this library is that each detected point is considered to belong to the relief... So this table will impassable by the path planning algorithm...
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Back to #ROS after several years, for powering Pyxis #Robocar 😜...
Currently assessing the "Elevation Mapping" package for #autonomous #navigation!
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Unfortunately, the motor battery ran out, and the mission had to be aborted… Great random guys watched the car before I arrived…
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The project has been on hold since November, but some missions are sometimes performed, as this first Paris by night robocar drive, at 11 pm…
Complete video here:
youtu.be/lKpaF3YJzu4
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Last Explorer Robocar #Paris mission was a good opportunity to test the very first shot of the developed #synthetic #vision, in real life (it is based on Yolov4)...
Still a lot of things to do, but could be promising...
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Happy New Year to all of you...
Back in #Paris... with a small tour around the block with the old 1/10th Explorer Robocar (performed this morning).
No GPS, Manual mode, old camera system...
Complete raw footage here: youtu.be/HS-aOELUcGs
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#Carla #Simulator is absolutely beautiful in high resolution... It's a kind of peaceful #GTAV 😂🙃 (timelapse video in fly mode)
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And now, 3D position (#syntheticvision)
Looks like some filter and/or data fusion with depth estimation (or other) will be required...
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- My father: "Your way too old to play with kid toys"
- Me ⤵️
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I am not dreaming… I just receive a message of encouragement on my last YouTube video from Gary McKinnon 😱😱
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Today, the first #autonomous #mission around a miniature forest has been successfully performed😋
The #waypoints are now displayed in the #3D window as the steering wheels angle (red cone)👀
The navigation still used raw GPS data, but a 27-state IMU/GPS EKF is being implemented🤞
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When you perform an #autonomous mission in a forest, but your car is still not able to avoid obstacles 😟😭
Anyway, the first mission with the upgraded Ground Control System #GCS took place today, and I can't wait to have a complete #synthetic #vision!!
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On thrusday, I arrived like a rocket on a woman and her two children... 😱😥
I saw them at the very last moment, as the object detection (indeed, with a poor 640x480 video)...
I really hope that the #pushchair is one of the first trained objects in #selfdriving cars... !!!!
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Its objective would be to have a synthetic view...
It would display the environment perception: detected objects, elevation map, etc.
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Currently assessing a 3D window for the Ground Station...
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I am currently assessing the feasiblility of autonomously driving through trees, by testing some monocular depth estimation algorithms (whose yours), and path planning on point cloud (in the future)...
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Artificial intelligence controls the flight of the drone through the branches of trees at a speed of 40 km/h.
Intel RealSense T265 and an Intel RealSense D435i are used.
Learning High-Speed Flight in the Wild: vladlen.info/publications/l
Video: youtu.be/m89bNn6RFoQ
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