Results 211 to 220 of about 18,155 (261)

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

Trajectory priming through obstacle avoidance in motor imagery - does motor imagery comprise the spatial characteristics of movement? [PDF]

Exp Brain Res
Roberts JW, Wakefield CJ, Owen R.
europepmc   +1 more source

Adaptive Model Predictive Control for 4WD-4WS Mobile Robot: A Multivariate Gaussian Mixture Model-Ant Colony Optimization for Robust Trajectory Tracking and Obstacle Avoidance. [PDF]

Sensors (Basel)
Ait Dahmad H, Ayad H, García Cerezo A, Mousannif H.   +3 more
europepmc   +1 more source

Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot. [PDF]

Sensors (Basel)
Katona K, Neamah HA, Korondi P.
europepmc   +1 more source

Rhythmic auditory cues improve gait asymmetry during unobstructed walking in people with Parkinson's disease but have no effect on obstacle avoidance - AsymmGait-Parkinson study. [PDF]

Front Aging Neurosci
Cursiol JA, Dos Santos PCR, Beretta VS, Orcioli-Silva D, Simieli L, Schlenstedt C, Coelho DB, Barbieri FA.   +7 more
europepmc   +1 more source

Gradient-based autonomous obstacle avoidance trajectory planning for B-spline UAVs. [PDF]

Sci Rep
Sun W, Sun P, Ding W, Zhao J, Li Y.
europepmc   +1 more source

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Obstacle avoidance in formation

2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), 2004
In this paper, we present an approach to obstacle avoidance for a group of unmanned vehicles moving in formation. The goal of the group is to move through a partially unknown environment with obstacles and reach a destination while maintaining the formation. We address this problem for a class of dynamic unicycle robots.
Petter Ögren, Naomi Ehrich Leonard
openaire   +1 more source