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Pretty cool! > My research goal is to train models using various hardware telemetry data with the hope that the models learn to interpret sensor inputs and con
by ingenieroariel 3y ago
Pretty cool!
> My research goal is to train models using various hardware telemetry data with the hope that the models learn to interpret sensor inputs and control actuators based on the insights they glean from the sensor inputs. This research direction may open up exciting possibilities in fields such as automation, space, robotics and IoT, where L2E can play a pivotal role in bridging the gap between AI and physical systems.
This part was easy to miss but quite interesting, could you expand a bit here? What does L2E stand for?
- throwaway10965 3y agoIt's the name of the project - Llama2Everywhere.
- ingenieroariel 3y agothanks! I am still curious about the sensor inputs part. I am trying to replace the 2.4ghz controller on my electric skateboard to make 0 to 5kmh and braking more pleasant and maybe use gyroscopes to do away with the controller altogether. What would tokens be in that case? Do you create a CAN style representation and feed that to the llm? What kind of throughput do you foresee being possible on which hardware?
- AMICABoard 3y agoI am still thinking how I'll pull this off. But basically it is collect tons of Telemetry converted to in ascii/text. Telemetry in sense sensor streams, both command and responses. Then we'll just train a small model for long enough. Then we will see how it would respond. That's the plan sort of.
- datadrivenangel 3y agoIn this case, I would ask the LLM to suggest an algorithm to minimize acceleration, jerk and snap based on the expected sensor input data, and then just implement that. Probably in memory on whatever runs the board. Straightforward control problem of bringing the board from 5-0kmh smoothly?
- AMICABoard 3y agoLet's see.
- ilc 3y agoBasic control theory will work better than AI here. The mathematical models used in control theory have been used in computing since at least the 50's (Kalman Filters). I suspect you won't have issues with computational power. Figuring out exactly which model to use and how, may take some work. Also understanding control theory will allow you to do things like traction control, etc.
- AMICABoard 3y agoIn addition. I Agree.
- AMICABoard 3y agoCorrect :)
- AMICABoard 3y agoThank you. So L2E stands for Llama 2 Everywhere. Thanks again for checking it out.
- pmarreck 3y ago> What does L2E stand for? um...