Selection of Actions for an Autonomous Social Robot
نویسندگان
چکیده
Autonomy is a prime issue on robotics field and it is closely related to decision making. Last researches on decision making for social robots are focused on imitating humans’ mind for taking decisions. Following this approach, we propose a motivational system for decision making using internal (drives) and external stimuli for choosing the right action. Actions will be selected from a finite set of skills in order to keep robot’s needs within an acceptable range. We present how our motivational decision making is applied to a social robot showing an improvement in robot’s autonomy.
منابع مشابه
A Q-learning Based Continuous Tuning of Fuzzy Wall Tracking
A simple easy to implement algorithm is proposed to address wall tracking task of an autonomous robot. The robot should navigate in unknown environments, find the nearest wall, and track it solely based on locally sensed data. The proposed method benefits from coupling fuzzy logic and Q-learning to meet requirements of autonomous navigations. Fuzzy if-then rules provide a reliable decision maki...
متن کاملEffective Mechatronic Models and Methods for Implementation an Autonomous Soccer Robot
Omni directional mobile robots have been popularly employed in several applications especially in soccer player robots considered in Robocup competitions. However, Omni directional navigation system, Omni-vision system and solenoid kicking mechanism in such mobile robots have not ever been combined. This situation brings the idea of a robot with no head direction into existence, a comprehensi...
متن کاملLearning the Selection of Actions for an Autonomous Social Robot by Reinforcement Learning Based on Motivations
Autonomy is a prime issue on robotics field and it is closely related to decision making. Last researches on decision making for social robots are focused on biologically inspired mechanisms for taking decisions. Following this approach, we propose a motivational system for decision making, using internal (drives) and external stimuli for learning to choose the right action. Actions are selecte...
متن کاملRobot Motion Vision Part II: Implementation
The idea of Fixation introduced a direct method for general recovery of shape and motion from images without using either feature correspondence or optical flow [1,2]. There are some parameters which have important effects on the performance of fixation method. However, the theory of fixation does not say anything about the autonomous and correct choice of those parameters. This paper presents ...
متن کاملEmotion-Based Learning of Intrinsically Motivated Autonomous Agents living in a Social World
This paper presents the performance of autonomous agents living in a role-playing game, where social interaction is allowed. These agents are controlled by an emotion-based architecture where the control architecture has a motivational model, which performs homeostatic control of the internal state of the agent. The agents learn the behaviour selection using reinforcement learning algorithms wh...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010