The Brains on Board team in Sheffield Robotics are proud to unveil their new custom research quadcopter, BeeBotV2. Unlike the MiniBeeV1 platform, BeeBotV2 enables on-board brain models, with a modular compute and sensor payload; this enables us to flexibly alter BeeBotV2's capabilities based on our research needs. Co-designed with the Advanced Manufacturing Research Centre [...]
We have been developing our own quad copters to replicate the senses and flight of honey bees. Minibee is the new smallest member of our quad copter family. With panoramic vision stabilised onboard and powerful motors it allows us to test our models of the bee brain in a smaller, [...]
We are pleased to announce that Brains on Board has become a Partnering Project of the Human Brain Project
Insect neuroethology: From brains and behaviours to models and robots. The Brains on Board project is delighted to host a one-day workshop on insect neuroethology and computational neuroscience at the University of Sussex. We are enthused about the prospect of bringing together neuroscientists, modellers and behavioural scientists, who work on insect sensory systems, learning and cognition. [...]
The BBC has published a short film about the Brains on Board project, featuring an interview with Andy Philippides from our team at the University of Sussex.
James Marshall and colleagues from the University of Sheffield have contributed to a feature aired by Canadian news broadcaster CBS News on concerns over lethal autonomous weapons systems.
For the first time, researchers from four major UK research centres are coming together with their academic and industrial collaborators in London to talk about how they can create neuromorphic controllers with the capabilities of a honeybee. Researchers from the universities of Sheffield, Sussex, and Queen Mary presented their facilities, tools, software, and robots to [...]
We are delighted to announce the recently awarded £4.8M EPSRC programme grant: “Brains on Board”: Neuromorphic Control of Flying Robots! The grant will fuse computational and experimental neuroscience to develop a new class of highly efficient 'brain on board' robot controllers, able to exhibit adaptive behaviour while running on powerful yet lightweight General-Purpose Graphics Processing [...]