
Human touch makes robots smarter: On Learning Context-Driven User Preferences
Published November 1, 2013
At a glance
Views
141,750
Likes
276
Comments
68
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
More details can be found at http://pr.cs.cornell.edu/coactive This research was done at the Cornell University Personal Robotics Lab by PhD student Ashesh Jain and Prof. Ashutosh Saxena. In this video, the robot does not know how to move a knife safely and learns through Interactive zero-G and tablet touch user inte…
- Published
- November 1, 2013
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Human touch makes robots smarter: On Learning Context-Driven User Preferences is doing
It has 141K views in total. It ranks #11,273,518 among tracked YouTube videos by views.
Key facts about Human touch makes robots smarter: On Learning Context-Driven User Preferences
- Total views
- 141K
- Total likes
- 276
- Total comments
- 68
- Published
- November 1, 2013
- Global rank by views
- #11,273,518
Frequently asked questions
How many views does Human touch makes robots smarter: On Learning Context-Driven User Preferences have?
Human touch makes robots smarter: On Learning Context-Driven User Preferences has 141,750 views, 276 likes and 68 comments, ranking #11,273,518 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.