Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Sadayoshi Mikami
Adaptive Gait Acquisition Using Multi-Agent Learning for Wall Climbing Robots
Related publications
Gait Planning of Concave Transition for a Wall-Climbing Robot
Adaptive Load Balancing: A Study in Multi-Agent Learning
Journal of Artificial Intelligence Research
Artificial Intelligence
S-Dlcam: A Self-Design and Learning Cooperative Agent Model for Adaptive Multi-Agent Systems
Agent Learning for Mixed-Initiative Knowledge Acquisition
A Reinforcement Learning Approach Using Reliability for Multi-Agent Systems
Transactions of the Society of Instrument and Control Engineers
HyperNEAT Versus RL PoWER for Online Gait Learning in Modular Robots
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Adaptive Algorithm Design for Cooperative Hunting in Multi-Robots
International Journal of Intelligent Systems and Applications
Control
Signal Processing
Human-Computer Interaction
Optimization
Computer Networks
Simulation
Communications
Computer Science Applications
Modeling
Artificial Intelligence
Research Status and Analysis of Technology Application for Magnetic Adsorption Wall-Climbing Robots in China
Stair-Climbing Gait for a Four-Wheeled Vehicle
ROBOMECH Journal
Control
Instrumentation
Mechanical Engineering
Simulation
Optimization
Modeling
Artificial Intelligence