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| Type | Private |
|---|---|
| Industry | Robotics |
| Founded | 2001; 20 years ago |
| Founder | Trevor Blackwell |
| Headquarters | Santa Clara, California |
| David Rogan (CEO) | |
| Website | anybots.com |
Anybots Inc. is a robotics company founded in 2001 by Trevor Blackwell in Santa Clara, California.David Rogan became CEO in July 2012.[1]
History[edit]
Robots[edit]
Q(X)[edit]
Q(X) (also known as the QX) is the latest robot from Anybots. It supports a 21-inch display, or 1 or 2x 15.6 inch screens. It supports 1080p60 High Def video conferencing, 64x zoom camera, and crystal clear audio. It's designed to work with a Polycom Group 500 video conferencing system as supports standard H.323 and SIP video conferencing.[2][3] Casino games slot machines.
Its modular design allows for customer specified payloads and alternate conferencing systems to be included.
QB[edit]
QB is a two-wheeled, gyroscopically stabilized remote telepresence unit driven via web browser. The user can select one of a range of bots located around the world, and drive it off from the Anybots website. All that is needed onsite is power, WiFi or 3G/4G. On-board is a touch screen display, speaker and microphone plus a laser for pointing at objects.
Applications include marketing,[4] remote experts, a remote lobby service (where receptionists can remotely ‘bot in' to greet and guide clients), museum guides, education, and translation services in airports and public spaces, remote property tours provided to foreign clients by real estate agents (engendering trust in that the client can drive them-self around), mobile exhibition attendants and security patrols, as well as the more mundane business meeting presence.
It may also be useful for the handicapped, severely disabled,[5][6] and sick children.[7][8]
Anybots can be purchased in the United States, Japan, and Europe.
QA[edit]
QA, debuted at the 2009 Consumer Electronics Show, is the first of Anybots' two telepresence Robots.[9] QA, a 5-foot-tall (1.5 m), 35-pound (16 kg) robot,[10] balances on two wheels, like a Segway,[11] has 5-megapixel cameras, two-way audio and a laser pointer for gesturing.[12] The user connects to QA via WiFi.[13]
The robot was never produced commercially.[14]
Dexter[edit]
Dexter is a dynamically balancing bipedal humanoid robot research project. [15]It is learning to walk and can jump, with its feet clearing the ground for a third of a second. [16]Because it uses pneumatics as actuators, its joints are compliant and provide a springy restoring force, much like a human's tendons, allowing it much greater capability to deal with obstacles.[17][18]
Monty[edit]
Monty is a telemanipulation prototype. It picks things up with an 18 degree of freedom hand [19] and is operated remotely through the use of a suit that includes a special glove.
References[edit]
- ^Anybots Names David Rogan as Chief Executive OfficerArchived November 7, 2013, at the Wayback Machine
- ^VideoTechnology: Anybots creates new virtual presence robot in partnership with Polycom Inc.
- ^Anybots creates new virtual presence robot in partnership with Polycom Inc.Archived October 7, 2013, at the Wayback Machine
- ^Coca-Cola presents: The Social RobotArchived October 17, 2013, at the Wayback Machine
- ^Disabled Gain FreedomArchived October 7, 2013, at the Wayback Machine
- ^Creative Communication: Using iPads, iPods, and even Robots as communication devices via Mac OS X.
- ^NBC: Bay Area Boy Makes a 'Wish,' Gets Robotic Tour
- ^BBC: Boy 'lived as a robot' for two months
- ^Engadget: Anybots rolls out the QA Telegenic Telepresence Robot
- ^Pocket Lint: Anybots unveils QA telepresence robot CES 2009: Be anywhere in the world, without actually being there
- ^Live From CES: Will Physically Going to CES Become Obsolete?
- ^Business robot debuts at CES
- ^SF Engadget: Anybots rolls out QA, the telegenic telepresence robot
- ^Las Vegas Sun: Teleconferencing robot
- ^none BBC: Walking robot steps up the pace
- ^Researchers Dream of Humanizing AndroidsArchived January 2, 2009, at the Wayback Machine
- ^Tech Digest: Anybots: the world's first dynamically balancing robot
- ^YouTube: Anybots' Dexter Jumps (March 2008)
- ^Engaget: Robot walks independently with dynamic balancing
External links[edit]
- Media related to Anybots at Wikimedia Commons
- Jeri Ellsworth trying a demo of Dexter operating over immersive telepresence on YouTube
Posted: 2016-11-07
Mixups by powgi mac os. Command Line Emulator for the Bot Framework - interacting with ocrbot on Shakespeare
UPDATE: The Command Line Emulator has been replaced with a full-fledged emulator which is cross-platform (info and install here).
Inventioneers mac os. tl;dr: I built a simple OCR bot using the Bot Framework (BF) from Microsoft and the Cognitive Services Computer Vision API. I chose the Node.js Bot Builder SDK from BF. I tested with the BF's unix-compatible emulator (black box above). It was nice and straightforward the whole way through. All of the instructions are here, but feel free to keep reading.
There's really almost too much to say about chat bots: definitions, bot builders, history (more), warnings and cautionary tales (more), guidelines, delightful stories, sad stories, etc. For our purposes, other than a few considerations, I'll sum it up with: they've been around for decades and will be for many more.
However, let's cover some vocabulary to start.
A blog post here details the different types of chat bots, progressing from simple to ones that can hold down a conversation. These are the bot types discussed and an example to illustrate:
- Notifier - sends a one-way message e.g. ping me with today's weather forecast at the start of the day ('push' bot i.e. bot initiates)
- Reactor - replies when I send a message, but does not remember anything e.g. send me the weather forecast when I ask for it ('pull bot' i.e. I initiate), but don't remember me or what I ask for
- Responder - replies and remembers me and my message history e.g. send me today's weather forecast, use my user name on this channel, and remember what cities I choose
- Conversationalist - replies, remembers me and my message history, knows what service I'm on, if there are others there, and when I come and go e.g. send me today's weather forecast, use my user name on this channel, remember what cities I choose, format it nicely for this channel, and if the conversation is old, archive it and send as email
Bot builders lower the activation barrier for developing bots and the MS Bot Framework (BF) Bot Builder SDKs give us a wealth of methods for building dialog and user prompts, making the creation of effective waterfalls really easy. Along with the SDKs, the BF provides free emulator tools, a Windows-compatible desktop app and a Mac OS X / Linux-compatible console app (more information on emulators here).
I know you've been waiting to dive into the code, so let's begin..
There are two choices on bot builder functions for testing locally. We can use the ConsoleConnector which simply and directly allows us to run our Node.js code on the command line. Using the bot builder SDK our code is pretty concise (see more examples on the Core Concepts page for the BF here):
Interacting with ocrbot could look like:
It's simple, but we don't get to see the actual JSON that gets passed to the bot and the JSON passed back. If we want to be able to see the message and also write code that can be used for production later, the Bot Framework Emulator is the way to go. Note, this is the beginning of my server.js Node.js file - see my ocrbot github repo for the complete project and code and the included lab file for more instructions on doing this at home. We replace ConsoleConnector with ChatConnector, for a full deployment-compatible setup, as follows:
One of the major reasons I used github to host this project is that (and outlined in a later blog, TBD) it afforded me the ability to do a continuous deployment directly from the repo. Any change I push up, immediately reflects in my bot on whichever channel I'm on - it was actually pretty astonishing to see a quick typo fix show up so immediately when chatting to my bot at the same time as pushing up the change. But I'll save this for the deployment article to come.
I've always been a fan of command terminals, so even on a Windows machine I'd probably choose to download and use the BF Command Terminal Emulator (download instructions are here). Honestly, I enjoy the simplicity and control a command prompt affords. And now I can develop bots in the exact same way agnostic of OS.
So, I decided to create a bot I could give image links to and if there was text in the picture it would reply with that text. Pretty simple and straightforward since I knew about the free subscriptions to Microsoft Cognitive Services and in particular the Vision APIs. I went to the Cognitive Services main page and clicked on My Account and signed up (or I could have signed up this way with MS, github, or LinkedIn accounts). After that I had a secret key for the service. Now to splice that into my bot.
So, I borrowed much of my code from Samuele Resca's blog post (excellent blog, btw). I placed these helper methods in with the server.js code above:
Then I set up a config file as shown in the repository containing my Computer Vision API key (as well as placeholders for the future app id and app password I get after the deployment step - in a followup article TBD). So, don't worry about the app id and app password for now. Fresh cuts mac os.
If you are doing this at home, replace the process.env.VISION_API_KEY with a string holding your key (this is a separate file I called configuration.js), see instructions in this lab file.
Crazybots Mac Os Download
Then back in my server.js file with the main code I set up my vision OCR functions to read the image text (basically call out the the Computer Vision service with an image url) and then process the text:
Finally, we tie it all together in a user dialog:
Then I set up a config file as shown in the repository containing my Computer Vision API key (as well as placeholders for the future app id and app password I get after the deployment step - in a followup article TBD). So, don't worry about the app id and app password for now. Fresh cuts mac os.
If you are doing this at home, replace the process.env.VISION_API_KEY with a string holding your key (this is a separate file I called configuration.js), see instructions in this lab file.
Crazybots Mac Os Download
Then back in my server.js file with the main code I set up my vision OCR functions to read the image text (basically call out the the Computer Vision service with an image url) and then process the text:
Finally, we tie it all together in a user dialog:
We could have added a waterfall here to say confirm they want to process this image or perhaps added a built-in prompt that allows uploading an image attachment. Perhaps in future releases.
Now we test.
On Windows one would double click on the BFEmulator.exe directly and on Mac we use the Mono framework software to run BFEmulator.exe from the command line. Pretty easy, peasy.
Let's take this image:
Mac Os Catalina
The emulator experience will look a little something like:
Command Line Emulator for the Bot Framework - interacting with ocrbot locally on stats
Mac Os Download
In conclusion, to get started now, check out the github repo and start playing with the code and emulator. For more instructions check out this lab. Chat later!
