Deep Space Probe Intelligence: Takashi Kubota

Deep Space Probe Intelligence

Advanced intelligence is strongly required for spacecraft and explorer to land on and explore the surface directly, safely, reliably, and efficiently in deep space such as the moon, planets, small bodies.
Kubota Lab is promoting some researches on intelligent explorer for the near future missions, SELENE-series, Hayabusa-series, Mars missions, and other exploration missions. Kubota Lab. welcomes graduate students who are interested in intelligence or space robotics in lunar or planetary exploration.
You can meet interesting research topics in space missions, and ISAS can provide you attractive and exciting research environment.

Understanding the environment with robot vision

It is required to understand the environment to explore unknown areas on the moon or other planets. Due to the limitation of bit rate or time delay, on-board decision based on AI can make the rovers to explore efficiently. So Kubota Lab. is promoting some research on vision system for planetary exploration, image processing, recognition algorithm, terrain mapping, sensor fusion, obstacle detection, natural terrain understanding, visual tracking etc.

Movement Mechanism of Lunar and Planetary Exploration Rovers

It is important to traverse lunar or planetary surface safely and flexibly without stacking on sandy terrain. New mobility system is also required to explore in lower gravity such as the moon, Mars, asteroids or comets. So Kubota lab. is promoting some research on walking robot with multiple legs, mole type robot for subsurface exploration, mobility system for wheeled robots, novel rover under micro gravity environment, insect typed micro probe robot etc.

Autonomous exploration robot system with artificial intelligence

It is important to develop autonomous rovers with AI to explore unknown environment efficientlty and effectively such as the moon, Mars, asteroid, etc. Kubota Lab. is studying intelligent path planning for rover, SLAM technology, behavior planning, terrain map making for traverse, self-, exploration strategy planner, machine learning for optimal exploration, etc.

Research on intelligence for cooperative exploration by multiple robots

Recently exploration missions have been bigger and required a lot cost and time to develop spacecrafts. That is why, a game changing is required, such as small explores cooperated mission compared with one big explorer. Kubota lab. is studying swarm robot system, self-organized mapping scheme, biometric approach, distributed system, coordination and cooperation functions, etc.

電気の回廊