Compared with the space fixed feature of traditional wireless sensor network (WSN), mobile WSN has better robustness and adaptability in unknown environment, so that it is always applied in the research of target tracking. In order to reach the target, the nodes group should find a self-adaptive method to avoid the obstacles together in their moving directions. Previous methods, which were base...

We present a collision avoidance system for powered wheelchairs used by people with cognitive disabilities. Such systems increase mobility and feelings of independence, thereby enabling reversal of some symptoms of depression and cognitive impairment and improvement of quality of life. We use a novel 3D sensor developed by Canesta Inc. that allows the wheelchair to “see” obstacles, avoid collis...

Autonomous sprayer UAVs are one of the most used aerial machines in modern agriculture. During flight missions, some common narrow obstacles appear flying zone. These non-detectable from satellite images and biggest challenges for autonomous farmland. This work introduces an obstacle avoidance architecture specifically UAVs. has generality spraying UAV problem, it reduces reliance on global map...

Dynamic obstacle avoidance is essential for unmanned surface vehicles (USVs) to achieve autonomous sailing. This paper presents a dynamic navigation ship domain (DNSD)-based approach USVs in compliance with COLREGs. Based on the detected information, can not only infer collision risk, but also plan local path trajectory make appropriate maneuvers. Firstly, analytical DNSD model established taki...

Obstacles are represented in the attentional landscape. However, it is currently unclear what the exclusive contribution of attention is to the avoidance response. This is because in earlier obstacle avoidance designs, it was impossible to disentangle an effect of attention from the changing features of the obstacle (e.g., its identity, size, or orientation). Conversely, any feature manipulatio...

The ability to autonomously navigate safely, especially within dynamic environments, is paramount for mobile robotics. In recent years, DRL approaches have shown superior performance in obstacle avoidance. However, these learning-based are often developed specially designed simulation environments and hard test against conventional planning approaches. Furthermore, the integration deployment of...

The paper deals with obstacle avoidance for a mobile manipulator. Mobile manipulator consists of a velocity controlled mobile platform and a torque controlled robot manipulator. Therefore combined torque-velocity control is used. In spite of a combined control the system maintains dynamic compensation. The proposed algorithm enables obstacle avoidance in real time. The platform has integrated u...

We consider the reinforcement learning problem of simultaneous trajectory-following and obstacle avoidance by a radio-controlled car. A space-indexed non-stationary controller policy class is chosen that is linear in the features set, where the multiplier of each feature in each controller is learned using the policy search by dynamic programming algorithm. Under the control of the learned poli...

With the advantages of long-range flight and high payload capacity, large fixed-wing UAVs are often used in anti-terrorism missions, disaster surveillance, emergency supply delivery. In existing research, there is little research on 3D model design V-tail UAV environment modeling. The study focuses designing a comprehensive simulation using Gazebo ROS, referencing UAVs, to aircraft, incorporati...