Control Systems Engineering Laboratory

Focuses on evaluating the social acceptability of Urban Air Mobility (UAM). Since conducting experiments with actual UAMs is difficult, this study utilizes real and CG drones, a simplified electroencephalograph (Kansei Analyzer), and subjective questionnaires. It evaluates differences in human sensitivity between real and CG drones, supporting the development of a simulator for social acceptability evaluation.

Simulated experiments for sensibility evaluation using an actual drone

Aims to introduce Autonomous Mobile Robots (AMRs) into aircraft manufacturing facilities, where complex working environments require both autonomous and manual operation. The research develops seamless switching between autonomous navigation and manual control, along with power-assist control for longitudinal and turning operations, enabling workers to efficiently maneuver the robots when needed.

Research shock absorption, energy conversion, and overturning-prevention mechanisms for lunar and planetary landers operating on steep and challenging terrains. By focusing on momentum exchange and energy conversion during landing, the research develops landing mechanisms and control methods to absorb impact and prevent lander overturning upon touchdown.

Develops emergency landing mechanisms for multirotor UAVs falling from various heights. The system uses a serially connected spring-damper mechanism with a lockable mechanical switch and plastic deformation material to mitigate landing impact and suppress rebound. Depending on the falling height, the plastic deformation mechanism is activated when the spring reaches a predefined threshold, providing additional impact mitigation for higher falls.

Proposes mid-air retrieval of low-speed-descent objects, such as radiosonde balloons and failed drones, using fixed-wing UAVs. The research focuses on developing control methods to safely retrieve these objects before they reach the ground, addressing the difficulty of controlling their landing points and reducing the risk of insufficient deceleration and ground impacts.

International Collaboration: Expanded into an international student flying-robot design program collaborating with North Carolina State University (NC State) and Gifu University.

• NC State ECE Feature Article— Competing Across Continents: Students from NC State and Universities in Japan Team Up on ‘Robot Gliders’

• Official X Video— NC State Team Championship Flight Video

Conducted in collaboration with Yamaha Motor Co., Ltd. using the MOTOROiD platform, this research focuses on self-stabilization control of motorcycles during stationary and low-speed conditions. By combining mathematical modeling with Bayesian optimization, the study identifies optimal control parameters and designs robust feedback control systems against external wind disturbances, with future work extending control to drive torque.

Establishes an internet-connected remote experimentation platform for simultaneous stabilization of two inverted pendulums located at Nagoya University and Gifu University, approximately 50 km apart. Utilizing hierarchical optimal control, the system balances individual stability and coordination between the two pendulums while enhancing robustness against communication delays and system uncertainties. The platform is designed for remote student experiments and can also be applied to remote product demonstrations.

Develops high-speed and high-precision line-of-sight target tracking systems using steering mirrors for small satellite asteroid flyby missions. The research addresses modeling errors, temperature-dependent actuator variations, image processing delays, and optical conditions to enable accurate tracking during close approaches.

Researches Shape Memory Alloy (SMA)-based holding and release mechanisms for spacecraft as an alternative to conventional pyrotechnic systems. By developing mathematical models of SMA actuators and suitable control systems, the research aims to achieve safe, reusable, and low-shock deployment mechanisms for space applications.

Research on dynamic modeling, trajectory generation, and flight control systems for fixed-wing aircraft and flight vehicles

Investigation into dynamic behavior, traction/stability control, and optimized motion control strategies for electric vehicles (EVs).

Development of motion and vibration control techniques to achieve rapid settling and precise positioning for horizontally moving mechanisms.

Research on orbital trajectory design and optimization using impact geometry mapping to deflect hazardous Near-Earth Asteroids (NEAs) effectively.

Development of autonomous decision-making and on-board mission planning algorithms to enable self-sufficient spacecraft operation during complex missions.

Research on autonomous path planning, obstacle avoidance, and robust flight navigation control for Unmanned Aerial Vehicles (UAVs).

Development of the Tokai Climax Series Metaverse Game presented at the Osaka-Kansai Expo.

Metaverse Showcase: NU CESL Official X Post