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This is a negative comment that adds little to the conversation and belittles hard work being done. Comments like this is why many people are afraid to share th

This is a negative comment that adds little to the conversation and belittles hard work being done. Comments like this is why many people are afraid to share their efforts - I ask that you consider people on the other side of the screen. Also, Boston Dynamics largely uses classical non deep learning techniques. We're still exploring AI and deep learning techniques to hopefully create such performance.

sashank_1509 3y ago
Quite the contrary, I think such comments are sorely needed in AI and its intersection with robotics. If we have a problem in Deep Learning today it’s that we’re over sharing. There are a ridiculous number of papers, and none of them add any value whatsoever to the literature. We’ve gone past the stage where people are sharing small incremental results and clogging the space, now they’re actively covering up their lack of new results with nice presentation, acronyms, buzzwords and making a paper out of it. We really need to be discouraging every run of the mill result from being published as a paper, and holding high standards for them (like say Boston Dynamics Tier) doesn’t seem like a bad idea!
- krasin 3y ago
  This work (RoboAgent) is not a run of the mill result. It might look not as shiny as Boston Dynamic does the demos, but it's an actual improvement of what's possible. One of the biggest issues with Robotics is that it's really hard to program the robots. The ability to set the tasks to a robot with a language brings the complexity down and makes it potentially accessible to regular people. We are not there yet, but RoboAgent is a fine step towards that direction. Let's hope that the code will be released soon as promised at https://github.com/robopen/roboagent/ https://github.com/robopen/roboagent/. RoboAgent is much better than RT-1, and comparable to RT-2. But the latter is not open-source, and so has a limited usefulness in advancing the state of art (unfortunately). Dismissing great results only because they don't have a video with $100k production budget is not what science is about.

sashank_1509 3y ago

Quite the contrary, I think such comments are sorely needed in AI and its intersection with robotics. If we have a problem in Deep Learning today it’s that we’re over sharing. There are a ridiculous number of papers, and none of them add any value whatsoever to the literature. We’ve gone past the stage where people are sharing small incremental results and clogging the space, now they’re actively covering up their lack of new results with nice presentation, acronyms, buzzwords and making a paper out of it. We really need to be discouraging every run of the mill result from being published as a paper, and holding high standards for them (like say Boston Dynamics Tier) doesn’t seem like a bad idea!

krasin 3y ago
This work (RoboAgent) is not a run of the mill result. It might look not as shiny as Boston Dynamic does the demos, but it's an actual improvement of what's possible. One of the biggest issues with Robotics is that it's really hard to program the robots. The ability to set the tasks to a robot with a language brings the complexity down and makes it potentially accessible to regular people. We are not there yet, but RoboAgent is a fine step towards that direction. Let's hope that the code will be released soon as promised at https://github.com/robopen/roboagent/ https://github.com/robopen/roboagent/. RoboAgent is much better than RT-1, and comparable to RT-2. But the latter is not open-source, and so has a limited usefulness in advancing the state of art (unfortunately). Dismissing great results only because they don't have a video with $100k production budget is not what science is about.