We have been studying multiple mobile robot systems since 1989. We consider intelligent systems as consisting of three factors: (a) multiple robots or intelligent machines (multiple agents), (b) human-beings who operate or cooperate with multiple agents, and (c) working environments. Now we deal with “design of robotics system”, “design of large-scale production/transport systems”, and “human analysis, service, and hyper-adaptability science” based on motion planning methodology, evolutionary computation, control theory, and so on.
Our final target is to establish design methodology of multi-agent systems including artificial agents, humans and working environments through clarifying the underlying structure and function in the intelligence and mobility (mobiligence) of these agents.
Current research areas
Introduction [Japanese PDF] [English PDF]
Design of robotics system
- Learning difficult robot motion from human demonstration collected via a single RGB camera
- Automatic action recognition algorithm for industrial manual workers with human skeleton and object information
- Measurement Pose Optimization for Joint Offset Calibration with a Hand-Eye Camera
- Robot System Arrangement Using Experience-based Hierarchical Optimization Methods
Design and management of large-scale production, transport systems, and plants
- Off-line task assignment and motion planning algorithm considering agent’s dynamics[Movie]
- Development of Virtual Reality System for Identification of Specific Expert Skills in Refinery Inspection Task with Explainable AI
- A Framework to Support Failure Cause Identification in Manufacturing Systems through Generalization of Past FMEAs
Human analysis, service, and hyper-adaptability science
- Development of a Nursing Skill Training System Based on Manipulator Variable Admittance Control[Movie]
- Analysis of the relationship between DAT-SPECT and motor symptoms using machine learning
- Modeling of human gait and gait initiation
- Evaluation of changes over time in stance postural control mechanisms in stroke patients
- Modeling of standing postural control in Parkinson’s disease patients
※These links are PDF files