Monday 21 December 2015

Playing with Aldebaran's NAO - walking and talking.

Ok, I need to read the manual! Managed today to play with Aldebaran NAO again and was struggling to get it to interact - this is the should have read the manual bit, it was all in there.


  • Mistake number 1 - I hadn't set a channel for all the apps so it was reacting to sounds and movement but not much more. So I set it.
  • Mistake number 2 - not understanding the meaning of the changes in the colour of the eyes, when the eyes go blue NAO is listening.


Now  it does what I was after - to be lead by the hand using the follow me app and react to some vocal commands. The video below shows "Red" in action.



I would be interest in others experiences with these robots, if you would like please add your comments below.


All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with.

Thursday 17 December 2015

Aldebaran NAO 'Red' in Teaching

Photo by John Sinclair

I had my first opportunity today to try an Aldebaran NAO robot as a teaching tool in an AI class today. The session was an end of term activity around summarising what we did in the AI class so far and questions. 

A question came up around AI and it's impact on society. Perfect opportunity to bring in a social robot - especially as a precursor for when we include a session on social robotics next term.


All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with.

Sunday 13 December 2015

Playing with Aldebaran NAO

This is just a short post, as well as being able to go to Picademy this week (http://robotsandphysicalcomputing.blogspot.co.uk/2015/12/picademy-7-8th-december-2015.html); I have been fortunate to be able to borrow an Aldebaran NAO robot (https://www.aldebaran.com/en) for the weekend to play with.




This is an extermly cool robot, straight out of the box, tracking movement and dynamic balancing. Hopefully, more on this in future posts.

All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with.

Saturday 12 December 2015

Experience at Raspberry Pi Cademy 7-8th December 2015

I was fortunate to get a place at Picademy (#picademy) this week. It was a fantastic opportunity and great fun, especially as most of it was about Physical computing.





In the screenshot above I was playing SonicPi (http://sonic-pi.net/) programming music (or trying to create music in my case). If you haven't had a go at throughly recommend it. It is great that SonicPi is available on the Mac and PC as well. 

Playing with connecting Python and Minecraft is very engaging and fun, but programming LEDs and Motors through either the the GPIO or using an HAT (see the images below) is just what I enjoy the most.


In the above image was my attempt at a simple 'Dalek' - essentially a cup and straw, with a wheeled motor inside. Controlled using python,  Pi through an ExplorerHat. It essentially moved in a circle either clockwise or anti-clockwise.

Rise of Rabbitsapien - A team of us put together a project of a robot with a rabbit (no other soft toys were available) with a Passive IR sensor in its belly; that carries out a set routine when movement is detected.




It was also great to come away with some many resources both physical and activities. Thank you to the Pi Foundation for such a good experience.




All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with.

Tuesday 1 December 2015

Controlling junk with LEGO

Up to this point the junk bot building has largely being about building a moving (or drawing) 'bot' moved by vibration - limited control, but fun. A Nuffield funded bursary student, Hayden Tetley,  has being working within staff from the University of Northampton on whether LEGO 8547: Mindstorms NXT 2.0: Robot or Raspberry Pi based solutions can be incorporated with the bot to add some control of the movement (still by vibration).


Idea One 

Is to add a LEGO NXT brick, to move a junkbot similar.The motor and broken propeller combination in the earlier junkbots is replaced with the NXT brick and LEGO motor. A good potential feature is it a self-contained unit with power and control together, as well as being potentially fairly simple to set-up. This is the focus of this post. 

Here are some videos showing idea one in action using LEGO motors, brick and the software that comes with the LEGO 8547: Mindstorms NXT 2.0: Robot :





For more information on how this was done go to: http://legojunkbots.weebly.com/uploads/3/7/2/2/37227791/nuffield_nxt_mindstorms.docx or http://legojunkbots.weebly.com/

Idea Two

Is to do a similar approach as idea one but keep the motor and broken propeller combination but control the motors via a Raspberry Pi. This is discussed in another post http://robotsandphysicalcomputing.blogspot.co.uk/2015/07/raspberry-pi-controlled-robot-from-junk.html

Details of the work will be published on the Junkbots Blog (htttp://junkbots.blogspot.co.uk/ ) as the project progresses.




All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with.

Monday 23 November 2015

5 Fascinating Facts about the Booming Robot Market

An analyst report explains why the robot industry is booming.The robot industry is experiencing a boom period that’s not likely to slow anytime soon.Bank of America Merrill Lynch  BAC  released a report this week that said that annual global sales of robots reached a record $10.7 billion in 2014. The authors valued the overall market for robotic technologies, which also includes related software and sensors, at $32 billion for the same year. By 2020, the authors expect the robot market to be worth $83 billion.

To read more go to: http://snip.ly/0eeu#http://fortune.com/2015/11/06/five-fascinating-facts-robotics-market



'via Blog this'

All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with.

Sunday 22 November 2015

Robot Software

In the previous blog posts for this 'series' "It is a good time...." 


  • Post 1 looked at the hardware unpinning some of this positive rise in robots;
  • Post 2 looked at social robots;
  • Post 3 looked at a collection of small robots;
  • Post 4 looked at further examples of small robots

Robots, such as the forthcoming Buddy and JIBO, will be based some established open sourceand other technologies. Jibo will be based around various technologies including Electron and JavaScript (for more details see: http://blog.jibo.com/2015/07/29/jibo-making-development-readily-accessible-to-all-developers/). Buddy is expected to be developed around tools for Unity3d, Arduino and OpenCV, and support Python, C++, C#, Java and JavaScript (for more details see http://www.roboticstrends.com/article/customize_your_buddy_companion_robot_with_this_software_development_kit). This post continues with some of the software being used with the smaller robots. 

A number of these robots are being programmed via Scratch or Scratch-like environments for example the OhBot (http://ohbot.weebly.com/) or Crumblebot (http://robotsandphysicalcomputing.blogspot.co.uk/2015/07/edge-following-crumblebot.html). Arduino based systems, discussed in Post 1, form the basis of a relatively large number of robots. Some other ways are discussed below.  



LeJOS
LeJOS (http://www.lejos.org/index.php) is an alternative way to program the LEGO Mindstorms Robotic Systems including the oldest RCX to the latest EV3. What it does is allow the robots to be programmed in Java by putting a small virtual machine on the controller/Brick. 

Some examples of it in use or being discussed can be found at:


A relate tool that use LeJOS as one of its underpinning technologies is Enchanting. A Scratch-like way to program LEGO robot based around Mindstorm NXT and EV3. For more details on this go to: http://enchanting.robotclub.ab.ca/tiki-index.php



Tickle


Tickle (https://tickleapp.com/en-us/) is one of my favourite of the physiclal computing programming tools at the moment. It is designed for program a quite range of devices using a 'Blockly-like' graphical programming approach. The Sphero range of robots and some of the Parrot Drone are supported.


When  I recently bought a Parrot Rolling Spider Mini-drone, I used the Tickle App (https://tickleapp.com/en-us/)  to control it. This was the first time I have actual programmed something that flies; the fact you are controlling  something you able to move in all directions is very engaging.

On the left is an example used; essentially lift off, repeatedly move forward, turn and in the end land.

As well as drones, the Sphero robots can be controlled using Tickle (that is how I first came across it). This does also include the entertaining and popular Sphero Star Wars BB-8. Which is well worth a play, if you get an opportunity. Dash and Dot (see http://robotsandphysicalcomputing.blogspot.co.uk/2015/07/cutest-computational-thinking-in-world.html for more details)  are also controllable through Tickle was well. 


Also a number of devices such as Punch Through Design's Arduino-based LightBlue Bean (https://punchthrough.com/bean-teaser), a Bluetooth Low Energy (BLE) microcontroller are supported- I have get to play with this one though.

I like the Tickle App because of its easy of use but mainly for the company's expansion of the range of devices supported.




Feedback
Please add comments with other software choices.



All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with. The author does not and can not take responsible for any harm cause by the software discussed - if you are unsure do not use the software.

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