There’s a solid argument for the above. The Real World is an unforgiving place. Anything remotely safety critical requires human oversight when it comes to robotics not least because of culpability. We can embolden our creations with all kinds of sensors and autonomous behaviours yet the one thing you can almost guarantee is that at […]
Working on a new robot controller as time allows. It’s based on a cardputer adv which is part of the M5 ecosystem. Just ordered a tiny analogue joystick to use with it and considering exploring LoRa communications. Found that current Bluetooth control is limited by distance and obstacles, LoRa should work better in both regards.
Above left is the reincarnated solar, metal detecting, robot. Above right is the Android controller interface. An attempt was made to move from Breadboard to a Printed Circuit Board (PCB). A PCB would add much needed rigour to the overall design. However, the first attempt was a bit of a disaster requiring more modifications than
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Back to looking at the BrainChip neuromorphic computer. Ran into software issues previously which need revisiting but here testing a potential (prototype) portable power system. There is a solar panel option underneath the keyboard/display. However, as the sun is somewhat reluctant to shine at times this is using a USB power bank. The LED display
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This device crawls at the moment. The rear wheels are, for now, freewheeling so they’re dragged. Imagining the front ‘whiskas’ additionally detecting something or other as they sweep from side to side. It is a hacked DFrobot Insectbot. Yellow washers are ballast (big buggy ‘eyes’ are sensors). No software updates just yet so it still
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Still planning (for want of a better term) the neuromorphic Raspberry Pi 5 so that it can be powered by solar energy. Decided to add the battery gauge as well as external LEDs for indicating charge/done, etc by both solar and other energy sources. As you can see this is an extremely early mock up
This is a Raspberry Pi 5 with active cooler + M. 2 HAT containing an Akida 1000 neuromorphic card. The Akida uses Spiking Neural Networks (SNNs) to simulate the way our brain operates as opposed to using Graphics Processing Units (GPUs) for the implementation of (convolution) neural networks. Additionally, squeezed inside of the case is
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The above video is the robots executing the demonstration code which was executed remotely. It will be a relatively steep learning curve now to try to replicate the detection swarming behaviour described elsewhere on this site. This can then be executed remotely too then no doubt refined to try to work towards proving or refuting
Very early experiment in concurrent control of multiple elements: a tracked robot, a robot dog and a drone. It’s taken some effort to get this far and there’s still further to go! Programmatic control requires improvements. Here the cognitive burden is quite high although with practice that should lessen. Additionally, there is no clear shared
