This is a Hackathon Project for the AI in Motion Hardware Hackathon part of SF Deep Tech, This is not the entire codebase, we started to use Discord instead of Github cause one of the Team Members faced an authentication problem with Github: 2-factor authentication. Most of the ROS, Roomba operating code, and robot command code are with my teammates, Scott, and LLM-related code with Ameya and GPT, and chat functionality with Ally.
High costs of existing lab scheduling software
Small labs are forced to spin up custom software due to cost & time investment.
3 Major companies in the sector. Monopoly. High knowledge barrier to entry->high product costs
Example Software: Biosero’s Green Button Go Scheduler Costs: Roughly $80k average installation additional costs for custom hardware integration Time: 6-month long initial consultations for setup
The significant commonality between laboratory automation hardware used: 60 of systems cover 80% of the market
Low- tech-overhead workflow lab automation software, using interoperable communication standards (SLIA2 and OPCUALADS)
Streamlined Interface for Custom Machine and Schedule Building
Community of Lab Automator Researchers to share configurations and process schedules
Reduce average installation from $80k to $5k per customer.
Reduce setup time from 6+ months to 1 month.
Uncommon machines can be set up quickly with shared configurations and process schedules
Build towards full orchestration functionality
Dynamic scheduling at no additional cost to the consumer
LLM Chatbot to improve the speed of data entry for custom machine schedules.