Slime Mold is a soil-dwelling amoeba, a brainless, single-celled organism, often containing multiple nuclei. It grows in humid conditions e.g. agar (organic jelly like substance) and can react and adapt to its surroundings. It has swarm intelligence and can rebuild artificially removed connections and regenerate left behind traces if it finds a nutrient source.
It is responsive to external factors such as light and humidity. It is attracted to sources of sugar such as glucose, galactose, Maltose,
leucine etc. found in Oats, honey etc. whereas repels chloride salts, potassium, salt, calcium etc.
leucine etc. found in Oats, honey etc. whereas repels chloride salts, potassium, salt, calcium etc.
Slime Mold Color Detection
The study deals with the use of real-time feedback from a camera mounted on a robotic arm to analyze the growth patterns and simulate it through use of various chemo attractors and chemo repellents.
Categorizing the Slime Mold Growth Patterns
The data from the feedback is analyzed to categorize the dead and alive traces of slime mold and control them using oats to stimulate the growth in a direction or feeding it salt to discourage growth in another direction.
Analyzing Food Source Location from Nearest Alive Slime Mold
The program analyses the locations for the chemo attractors and chemo repellents within the growth area and streams them to the robot arm. The following process is repeated every 2 hours to achieve the desired growth patterns.
Realtime Robotic Simulation
Realtime Robotic Simulation
Extruding Oat Paste through Realtime Feedback
Experiments for Robotic Tools for Extrusion