This study develops a hybrid simulation framework that integrates Life Cycle Simulation (LCS) and Agent-Based Modeling (ABM), in order to examine how consumer behaviour influences the economic and environmental performance of circular business models. Using reusable timber wall panels in Norway as a case study, we operationalize the Theory of Planned Behavior (TPB) through a logistic purchase probability function that links environmental awareness, perceived convenience, policy intensity, and product attitude to market adoption. Simulation experiments with 576 scenarios reveal strong nonlinear propagation effects from micro-level behavioral parameters to macro-level system outcomes, which are often overlooked in static assessment tools. Environmental awareness and policy strength significantly shift the system toward low-emission regimes, while lease pricing primarily affects economic viability without directly reducing carbon emissions. The results demonstrate that integrating behavioral dynamics into lifecycle simulation can alter the feasibility boundaries of circular business models, highlighting the importance of endogenous market adoption mechanisms in sustainability transitions.

The design for an artificial mark attached to small objects is presented in this paper. Three conditions are required for the design of the marks: (1) short calculation time, (2) easy attachment, and (3) individual calculation for each item. The marks are obtained by using three different extraction methods. The experiments determine the best mark. The mark using the method that extract colors and calculated the gravity has good results. We analyze the errors of the mark that has best experiment. The appropriateness of the experimental results is then confirmed. We have the experiment that the manipulator handles the objects with the best mark. The experiment is successful. Therefore, the usability of the mark is verified.

To achieve smooth motion of car-like robots, it is necessary to generate paths that satisfy the following conditions: maximum curvature, maximum curvature derivative, and curvature continuity. Another requirement is that human operators can manipulate the robots with ease. In this paper, a path expression methodology consisting of line segments, circular arcs and clothoid arcs is presented. In addition, a method of global path generation with a visibility graph is proposed. To establish this method, the following steps are proposed: (a) the arrangement of subgoals (middle points) and (b) the construction of the graph for path generation. By using the proposed method, the paths were shortened 14% on average.

This paper presents a robot system for handling various objects in home or office environments. A fixed manipulator utilizes marks on objects for handling and motion planning. A mark consists of two parts. One is the outer part, which indicates its pose (in this paper, "pose " denotes 3D position and orientation), and the other is a QR code, which is a kind of 2D barcode. A QR code is stored information of an object (e.g. its name). A user attaches several marks on each object. The manipulator accesses the information using a camera in its hand. The robot can decide its complex handling motion based on the information in QR codes, pose of the objects, which are estimated from pose of marks, and signals from proximity sensors. Experiments are conducted to verify the whole system.