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...

In this letter, we introduce a generalized continuous collision detection (CCD) framework for the mobile robot along polynomial trajectory in cluttered environments including various static obstacle models. Specifically, find that conditions between robots and obstacles could be transformed into set of inequalities, whose roots can efficiently solved by proposed solver. addition, test different...

The skin is susceptible to different injuries and diseases. One major obstacle in skin tissue engineering is how to develop functional three-dimensional (3D) substitute for damaged skin. Previous studies have proved a 3D dynamic simulated microgravity (SMG) culture system as a "stimulatory" environment for the proliferation and differentiation of stem cells. Here, we employed the NASA-approved ...

A significant obstacle to the acceptance of transactional memory (TM) in real-world parallel programs is the abundance of substantially different TM algorithms. Each TM algorithm appears well-suited to certain workload characteristics, but the best choice of algorithm is sensitive to program inputs, available cores, and program phases. Furthermore, operating system and hardware characteristics ...

BACKGROUND Resistance of breast cancer cells to the available chemotherapeutics is a major obstacle to successful treatment. Recent studies have shown that magnetic nanoparticles might have significant application in different medical fields including cancer treatment. The goal of this study is to verify the ability of magnetic nanoparticles to sensitize cancer cells to the clinically available...

Dempster-Shafer theory provides a sensor fusion framework that autonomously accounts for obstacle occlusion in dynamic, urban environments. However, to discern static and moving obstacles, the Dempster-Shafer approach requires manual tuning of parameters dependent on the situation and sensor types. The proposed methodology utilizes a deep fully convolutional neural network to improve the robust...

We propose a universal strategy to realize broadband control on arbitrary scatterers, through multiple coherent beams. By engineering the phases and amplitudes of incident beams, one can suppress dominant scattering partial waves, making obstacle lose its intrinsic responses in spectrum. The associated beams generate finite static region, inside which corresponding electric field intensity Poyn...

Path planning is an important aspect and component in the research of mobile-robot-related technologies. Many path algorithms are only applicable to static environments, while practical tasks, uncertainty dynamic environments increases difficulty obstacle avoidance compared with environments. To address this problem, paper proposes RRT*-FDWA algorithm. RRT* first generates a global optimal path...

The movement of a mobile robot in non-deterministic environment is accompanied by maneuvering due to the need avoid collision with fixed or moving obstacle. Under certain conditions, several obstacles, including ones, may appear near zone robot. In this case, trajectory-planning algorithms based on “static” approach position obstacles will not be effective; their application lead collisions. Fi...