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Ms. Zamani wonderful job👏👏

What a wonderful study! I am currently a fourth-year student, and I am also conducting a scientific research project on obstacle avoidance algorithms for drones. May I contact you to discuss this research a bit further?"

Have you uploaded it to GitHub?

very interesting thank you for sharing

Hello ! i am a student in VIT and wanted to know how these swarm robots or drones can work ? can you help me with these ?

Dr. Alonso-Mora, you and your team have done it again!

Really Cool! Can you share the repository

fine result! Do you have a github repo of your code?

3:45 That looks quite dangerous)

Excellent Work. At 3:44 you probably have a typo replacing "Unstructured" with "Unconstrained" in the title.

Hi, is the code for this paper open source?

Hello Professor, Recently, I’m learning multi-robots self-organizing cooperative pursuit algorithm based on Voronoi graph. but I have encountered some troubles when trying to implement the Buffered Voronoi Cells algorithm. If possible, can you send me your Buffered Voronoi Cells part source code or pseudocode?

Yes: paper: www.alonsomora.com/docs/19-brito-ral.pdf code: github.com/tud-amr/amr-lmpcc

Can you share the lmpcc local planner imformation? and how to use it

How can I contact you

Is this paper code open source?

Super great job👍

Hi, professor. I am a junior student and currently trying to integrate the methods you proposed in this paper to real-world ride-sharing problems. One obstacle I met is that it's quite hard to solve the optimal assignment problem because it is an integer programming problem and using a solver to solve it requires a lot of time. Do you think there might be some ways to just use a linear programming solver to solve it?

你好 这个代码可以分享吗

Hi, Does Bebop 2 itself support intel realsense D435i?

Dr. Alonso-Mora, how do we get a hold of you?

splendid work by you!!

I would love some explanation on figure1 :)

Are you using the motion capture system in the robots motion planning or in the pose estimation ?

hello Professor, I am very interested in your research and want to continue it.Can I refer to your source code ?How can i get your source code? 1263305115@qq.com

This is amazing! can't wait to read the paper! well done!

the value of "travel distance, c.m." is supposed to be a mean value for current 30 second period, measured in "km/vehicle" but it keeps increasing steadily throughout the first part of the video from 0 to 367. Clearly this can not be the mean km / vehicle in the last 30 seconds. What does the value measure? Mean km / vehicle since beginning of video?

WOW!

Hello, does anyone know how to get the number of active taxis? I am using www.nyc.gov/html/tlc/html/about/trip_record_data.shtml.

So, what's the drones equipped with?

Nice! Could use some work at the jitter, but really cool to see the amount of tracking that is possible ;)

Can I have the code and other useful stuff for some more study on this topic?

I have a question (well several, but I'll make just one ... for now :D), how did you create the trajectory?

This is awesome. May I have the code for this ? It doesn't seem like you used ROS for this simulation. Was it Matlab ?

can i get matlab simulation?

can i get matlab simulation for this project.

Would be interesting to take Uber driver data and use as a "collective experience set" for autonomous / AI driving robots making the decisions processes a touch more human / organic. (I'm like a 3rd grader talking to a professor here haha)

The ability to select the target and choose a camera angle on that target, and then to watch the drone execute that change in 3D space, in time, and repositioning is amazing. AAAANNNDD tracking of multiple objects with the variable position changes and the "choices" it's making are on such another level! Dream team in action. Crazy tech. I feel like I'm witnessing a necessary milestone in AI. Amazing job guys.

It's great. Could it possible for me to have your code behind? Thanks

I've been studying multi-robot formation control. Your work is amazing. Wondering if you have plan to open source the project.

My understanding is that this model is using real historical NYC taxi trips; but all the trips seem to begin and end in Manhattan. So other taxi trips (that didn't both begin and end in Manhattan) were excluded from the data used in the simulation?

As your video stands at the point I was unable to make out at all what you are trying to say. It would of helped me understand if you added a voice over tell the viewer what we are looking at and how the color dots moving very fast is related to On-demand High-capacity Ride-sharing.

what application did you use to make simulation?