Thank you very much. Is it possible to get these PPT Slides?
@ColtonKinstley2 ай бұрын
Cheers for these lectures Dr. Prorok they are extremely helpful 🙏
@dorcyh.a11582 ай бұрын
Great video!!
@KrithishSuresh-qm8bj3 ай бұрын
Is the original video removed?
@mkkpoi-ss5qc4 ай бұрын
Hi good job. Can you give me your code? I would like to learn from it Thanks a lot
@user-mg3ey1uq8f4 ай бұрын
my gf asking me if this viedo is trying to entertain people.
@alirezaabbasimoshaei87264 ай бұрын
thanks. but I think in 1:00:00 delta hat is from odomotery measurements
@user-bw7xq4sd9p5 ай бұрын
thank you!
@andreamangrella39195 ай бұрын
Coolest shit ever
@eranda19857 ай бұрын
Fantastic! What's the simulation platform being used ?
@andreamangrella39195 ай бұрын
Looks like gazebo
@andreamangrella39195 ай бұрын
Hate that thing
@internetgzb55477 ай бұрын
what degree is this course included on?
@psychedeliccoffee27377 ай бұрын
I am having trouble getting your code to run. Is there any way you can help?
@winx9107 ай бұрын
great lecture!
@Takeover967 ай бұрын
Auf jeden Fall ein Banger! Thanks for uploading
@mostinho78 ай бұрын
13:00 treating odometry data as controls 21:51 bel(x) with bar is the belief before incorporating the most recent measurement data Zt. After including Zt it becomes bel(x)
@firdosnaji52628 ай бұрын
good job I would like to ask you about the code are used in this project, Can I have the code of this project, I am doing same project but adding artificial potential field with reinforcement learning and I facing some problem in write code.
@XhWang-je3pq4 ай бұрын
hi do you get the code?
@harishsharma33769 ай бұрын
Nice work, can you share more details of code or any git repo
@revimfadli46669 ай бұрын
Thanks, been looking for this. I wonder how well would this apply to Poker, Bridge, Mascarade, and other deduction games. Or maybe 'positive' interaction modern euro board games like Keyflower
@siimoch316110 ай бұрын
Best course ever
@jeffrichley11 ай бұрын
Very cool work you've done. Do you have a git repo we can look at?
@junghwanro4829 Жыл бұрын
Watching from Lecture 1... One of the best in the world. Well organized, and very helpful.
@saliexplore3094 Жыл бұрын
Quality lecture!
@erfanzandi1362 Жыл бұрын
Can you please provide the assignments and tutorial files?
@xokay9152 Жыл бұрын
thank you. excellent video and very well explained... getting me through my finals rn
@sahanrandika4371 Жыл бұрын
Do have research paper or tutorials for do experiment about this technology
@subarnapudasaini5491 Жыл бұрын
Thank you for the lecture videos. Can you please provide the assignments and tutorial files?
@abrahamyalley9973 Жыл бұрын
does any part of these lectures teach ros?
@tahanmkh5763 Жыл бұрын
It was an awesome tutorial. you did great. I am waiting for some practical projects. Hope you will designate this request
@EchONailer Жыл бұрын
Thank you!!! This is so interesting!
@lucaslopesf Жыл бұрын
Great contribution!
@deshawnstewart768 Жыл бұрын
Inspiring lectures indeed! Wonder if the slides will be released? Just for personal educational purposes.
@josepharmstrong6852 Жыл бұрын
Thanks for making this it's really great to see wish more academics would do this opening up education is really great.
@thomasbonenfant4486 Жыл бұрын
The music is fire ahahah
@NoNTr1v1aL Жыл бұрын
Absolutely amazing video!
@user-bk4rv6qx2z Жыл бұрын
Pure Genius!
@Olorunnisola01 Жыл бұрын
Can I get the slide used in this lecture? Thanks
@SPaICTHub Жыл бұрын
Thank you, Prorok, for this expository lecture.
@1volkansezer Жыл бұрын
Dear professor, thanks for this great lecture. I would like to ask about the mean-field approach. Is it really a task assignment solution? Because in the example you have shown, the required abilities for each task have already been assigned. And the robots are assigned to the tasks for ensuring the previously assigned abilities. This seems like the relation between global and local path planning for a single robot. Like a global assignment and a local assignment.
@exoticlacesandmore10252 жыл бұрын
Hi, thanks you Your video was very helpful I would appreciate it if you help me understand the concept of using metahueristics algorithm of solving path planning.
@haris14972 жыл бұрын
Can I get the presentation document?
@scottybaird27212 жыл бұрын
I've downloaded the entire series of these lectures. Outstanding work, Dr.
@ahmedmustahid49362 жыл бұрын
Anyone has the assignments?
@prompltydesigns2 жыл бұрын
can i get a soft copy of the lecture
@zuhair952 жыл бұрын
A robot is an autonomous system which exists in the physical world, can sense its environment, and act on it to achieve some goals. (This definition need to be optimized because not all robots fully autonomous, is not it ?)
@jaigarg39902 жыл бұрын
thanks for these lectures
@nicorobin76662 жыл бұрын
before even starting the course, I would love to ask please, what should I know in general? Is it enough to know undergraduate math level? what else? It seems there is a reinforcement learning topic? should I know it very well? thank you
@Zartris2 жыл бұрын
Would love to see a presentation of your new work: "Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning"
@dragonxxx63023 жыл бұрын
You are the best thank you from syria
@anas77xd Жыл бұрын
i'm from Syria also do you recommend this video, and is this practical enough ? i got confused after watching Indian course and i want something more practical
@dragonxxx6302 Жыл бұрын
@@anas77xd This video is very good in order to give a unique introduction, but if you want to go deeper, you can take the research keys and see research papers
@muhtadinmuhtadin37459 ай бұрын
@@anas77xd Which video do you mean?
@michaelblake94773 жыл бұрын
Thank you for these excellent lectures. Wonderfully explained for an introduction into these topics.