Results 41 to 50 of about 170,372 (295)
Robots That Do Not Avoid Obstacles [PDF]
, 2018 To appear in the Handbook of Nonlinear Analysis, Edt Th.
Kyriakos Papadopoulos +1 more
openaire +2 more sources
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Trajectory generation for road vehicle obstacle avoidance using convex optimization [PDF]
, 2010 This paper presents a method for trajectory generation using convex optimization to find a feasible, obstacle-free path for a road vehicle. Consideration of vehicle rotation is shown to be necessary if the trajectory is to avoid obstacles specified in a ...
Betts J. T. +6 more
core +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Fast Path Recovery Algorithm for Obstacle Avoidance Scenarios [PDF]
Jisuanji kexueA fast path recovery algorithm for unmanned aerial vehicles(UAVs) in obstacle avoidance scenarios is proposed to address the shortcomings of most existing obstacle avoidance algorithms that lack consideration for UAV path recovery,and a few path recovery
MA Yinghong, LI Xu’nan, DONG Xu, JIAO Yi, CAI Wei, GUO Youguang
doaj +1 more source
Algorithms for fitting cylindrical objects to sparse range point clouds for rapid workspace modeling [PDF]
, 2003 Current methods for construction site modeling employ large, expensive laser range scanners that produce dense range point clouds of a scene from different perspectives.
Bosché, Frédéric +3 more
core +1 more source
Advanced Engineering Materials, EarlyView.A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
EMBEDDED LEARNING ROBOT WITH FUZZY Q-LEARNING FOR OBSTACLE AVOIDANCE BEHAVIOR [PDF]
, 2009 Fuzzy Q-learning is extending of Q-learning algorithm that uses fuzzy inference system to enable Q-learning holding continuous action and state. This learning has been implemented in various robot learning application like obstacle avoidance and target ...
Anam, Khairul
core
Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios
, 2018 In this work, we consider the problem of decentralized multi-robot target tracking and obstacle avoidance in dynamic environments. Each robot executes a local motion planning algorithm which is based on model predictive control (MPC).
Ahmad, Aamir +4 more
core +1 more source
Learning obstacle avoidance with an operant behavioral model [PDF]
, 2004 Artificial intelligence researchers have been attracted by the idea of having robots learn how to accomplish a task, rather than being told explicitly.
Gutnisky, D. A. +1 more
core +1 more source