Modellers of biological, ecological, and environmental systems cannot take for granted the maxim 'simple means general means good'. We argue here that viewing simple models as the main way to achieve generality may be an obstacle to the progress of ecological research. We show how complex models can be both desirable and general, and how simple and complex models can be linked together to produ...

This paper presents the first stage of research into a multi-agent complex environment, called “FlatLand” aiming at emerging complex and adaptive obstacle-avoidance and targetachievement behaviors by use of a variety of learning mechanisms. The presentation includes a detailed description of the FlatLand simulated world, the learning mechanisms used as well as an efficient method for comparing ...

Unmanned surface vehicle (USV) path planning is a crucial technology for achieving USV autonomous navigation. Under global planning, dynamic local obstacle avoidance has become the primary focus safe In this study, method based on enhanced velocity proposed in order to achieve replanning. Through further analysis of obstacles, geometric model set conventional was redefined. A special triangular...

This paper presents a method to solve the problem of obstacle avoidance for a redundant manipulator so that it closely tracks the desired end-effector trajeclory and simultaneously avoids workspace obstacles. The proposed method introduces the describing Cunction J to indicate whether collision occurs between the robot and obstacles. The obstacle avoidance task is achieved by Cormulating the pe...

Microorganisms naturally move in microstructured fluids. Using the simulation method of multi-particle collision dynamics, we study in two dimensions an undulatory Taylor line swimming in a microchannel and in a cubic lattice of obstacles, which represent simple forms of a microstructured environment. In the microchannel the Taylor line swims at an acute angle along a channel wall with a clearl...

BACKGROUND Obesity has a negative impact on motor function, leading to an increase in fall risk. Massive weight loss improves some aspects of gait on flat ground. However, we have little information about whether gait changes during flat-ground walking and during more complex motor tasks beyond flat-ground walking. OBJECTIVES Our objectives were to examine how massive weight loss after Roux-e...

The autonomous mobile robot must be capable of avoiding static and dynamic obstacles in the environment navigating towards target without any human effort. A valid low-cost path from start to goal is obtained by A* algorithm. Neural network used for Zone classification. relative values between obstacle are classification which distance, velocity, angle. Zone1 very dangerous while zone 5 not dan...

Bat echolocation is an ability consisting of many subtasks such as navigation, prey detection and object recognition. Understanding the echolocation capabilities of bats comes down to isolating the minimal set of acoustic cues needed to complete each task. For some tasks, the minimal cues have already been identified. However, while a number of possible cues have been suggested, little is known...

In view of the problems that exist in working plane inspection robot equipped with precision instruments cannot always maintain a stable state when moving on complex road surface, floating mobile chassis was designed based Teoriya Resheniya Izobreatatelskikh Zadatch (TRIZ) theory, and suspension device also optimized substance field. The kinematic model established, obstacle-surmounting analysi...

Given the a priori knowledge of the environment and the goal position, mobile robot navigation refers to the robot’s ability to safely move towards the goal using its knowledge and the sensorial information of the surrounding environment. Even though there are many different ways to approach navigation, most of them share a set of common components or blocks, among which path planning and obsta...