M. Asada

Publications721
h-index45
Citations11,395
Highly Influential Citations376
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RoboCup: The Robot World Cup Initiative
The Robot World Cup Initiative (R, oboCup) is attempt to foster AI and intelligent rohoties research by providing a standard problem where wide range of technologies especially concerning multi-agent… Expand
RoboCup: A Challenge Problem for AI
TLDR
Technical challenges involved in RoboCup, rules, and the simulation environment are described, including design principles of autonomous agents, multiagent collaboration, strategy acquisition, real-time reasoning, robotics, and sensor fusion. Expand
Versatile visual servoing without knowledge of true Jacobian
  • K. Hosoda, M. Asada
  • Mathematics, Computer Science
  • Proceedings of IEEE/RSJ International Conference…
  • 12 September 1994
TLDR
The proposed visual servoing control scheme ensures the convergence of the image-features to desired trajectories, by using the estimated Jacobian matrix, which is proved by the Lyapunov stability theory. Expand
Cognitive Developmental Robotics: A Survey
TLDR
Cognitive developmental robotics aims to provide new understanding of how human's higher cognitive functions develop by means of a synthetic approach that developmentally constructs cognitive functions through interactions with the environment, including other agents. Expand
Information processing in echo state networks at the edge of chaos
TLDR
Evidence is presented that both information transfer and storage in the recurrent layer are maximized close to this phase transition, providing an explanation for why guiding the recurrent layers toward the edge of chaos is computationally useful. Expand
RoboCup: A Challenge Problem for AI and Robotics
TLDR
Technical challenges involved in RoboCup, rules, and simulation environment are described and a software platform for research on the software aspects of RoboCups is offered. Expand
The RoboCup Synthetic Agent Challenge 97
TLDR
This paper presents three specific challenges for the next two years of RoboCup Challenge: learning of individual agents and teams; multi-agent team planning and plan-execution in service of teamwork; and opponent modeling. Expand
Cognitive developmental robotics as a new paradigm for the design of humanoid robots
TLDR
CDR may provide ways of understanding human beings that go beyond the current level of explanation found in the natural and social sciences and hold promise because they have many degrees of freedom and sense modalities and must face the challenges of scalability that are often side- stepped in simpler domains. Expand
Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning
TLDR
A method of vision-based reinforcement learning by which a robot learns to shoot a ball into a goal by using Learning from Easy Missions (or LEM), which reduces the learning time from exponential to almost linear order in the size of the state space. Expand
A constructive model for the development of joint attention
TLDR
The experimental results show that the proposed model makes the robot reproduce the developmental process of infants' joint attention, which could be one of the models to explain how infants develop the ability of joint attention. Expand
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