CrunchLabs’ Post

Line following Robot using Quarky ....

In this video we tell about our thoughts how our robot will look like. It would be great if you tell in coments what do you think about our ideas ) https://lnkd.in/ePDdPnif

here is the second video where me and my friend Lena are exploring our ideas about housekeeping robots

our next video, where we discuss robot ideas

Robot, can you say ‘cheese’? https://lnkd.in/gcuy2m8N What would you do if you walked up to a robot with a human-like head and it smiled at you first? You’d likely smile back and perhaps feel the two of you were genuinely interacting. But how does a robot know how to do this? Or a better question, how does it know to get you to smile back?

We're back on socials! Q: If a robot could do any task that a human could do, what task in your daily life would you have a robot do first? Share below! Think about what things waste your time or you don't enjoy or repetitive... it can be anything.

Learn to make a cute little robot in this quick and cheap tutorial 🤖 https://lnkd.in/ebPWGnMe

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Amazing manipulation results out of the Aloha group! Congrats to Tony Z. Zhao and the entire team. The minor error handling done at each task was especially impressive - missing attachments, shoe strings, and hanger insertions were all handled with ease. It's amazing how effective human-learned error-handling can be. Designing a state machine/behavior tree that can error, effectively retry, and still have a good idea of the next steps is no easy feat. Although executing on a full use case may be far away, smaller sub use cases like reaching into a container (Berkshire Grey/Covariant) where the time window is fairly short and the task complexity is reduced, might be pretty close. As an add-on demo, it would be interesting to see the same robot perform all three demoed tasks. Can the demo be rerun by tossing a shirt onto the table after the robot gripper is repaired? What blocks that macroscopic task switching? Super impressive work. Looking forward to seeing more from the Aloha team and Tony Z. Zhao. Check out the amazing results in the video: https://lnkd.in/eRg5eJvz

#Day58 of #100daysofcodechallenge For Today I solved There is a robot on an m x n grid. The robot is initially located at the top-left corner (i.e., grid[0][0]). The robot tries to move to the bottom-right corner (i.e., grid[m - 1][n - 1]). The robot can only move either down or right at any point in time. Given the two integers m and n, return the number of possible unique paths that the robot can take to reach the bottom-right corner. The test cases are generated so that the answer will be less than or equal to 2 * 109.#leetcode #drgvishwanathanchallenge