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Path planning

What are guding principles How can they be defined e.g. in relation to paradigms, technological paths, plans etc. What effects can guiding principles have What are the prerequisites for the effectiveness of guiding principles ... [Pg.127]

II. Problem-Solving Behavior, Using a Path-Planning Task... [Pg.5]

Mushiake, H., Saito, N., Sakamoto, K., Sato, Y., and Tanji, J. (2001). Visually based path-planning by Japanese monkeys. Brain Res. Cogn. Brain Res. 11, 165—169. [Pg.15]

Fig. 13.12 Factors and interactions for intelligent friction stir welding path planning... Fig. 13.12 Factors and interactions for intelligent friction stir welding path planning...
Vasant, P., Barsoum, N. Hybrid pattern search and simulated annealing for fuzzy production planning problems. Comput. Math. Appl. 60(4), 1058-1067 (2010) Wang, G., Guo, L., Duan, H., Wang, H., Liu, L., Shao, M. A hybrid metaheuristic DE/CS algorithm for UCAV three-dimension path planning. Sci. World J. 2012, 1-11 (2012). doi 10.1100/2012/583973... [Pg.211]

Five-Axis Tool Path Generation, Fig. 15 Tool paths by different tool path planning approaches (Lee 1998)... [Pg.522]

Dejonghe P (2001) An integrated approach for tool path planning and generation for multi-axis milling. [Pg.524]

M. Mahmud, D. Joannic, M. Roy, A. Isheil, J.F. Fontaine, 3D part inspection path planning of a laser scanner with control on the uncertainty, Computer-Aided Design. 43 (2011) 345-355. [Pg.14]

Parker LE (2009) Path planning and motion coordination in multiple mobile robot teams. Encyclopedia Complex Syst Sci 2009 5783-5800... [Pg.93]

Curkovic P, Jerbic B, Stipancic T (2009) Swarm-based approach to path planning using honeybees Mating algorithm and ART neural network. Solid state phenomena, vol 147-149, pp 74-79... [Pg.120]

Curkovic P, Jerbic B, Stipancic T (2008) Hybridization of adaptive genetic algorithm and ART neural architecture for efficient path planning of a mobile robot. Trans FAMENA 32(2) 11-21... [Pg.120]

On articulated vehicle modeling and SMC application, many researchers have revealed approaches. More analytically, in Ridley and Corke (2003), Lee and Yoo (2009), Nayl et al. (2012), kinematics model of articulated vehicle and error model between real and reference path are presented, and the path tracking simulation with model predictive control is applied, while in Petrov and Chakyrski (2009) the feedback controller based on Lyapunov approach is designed. The simulations in these literatures are non-real-time. The real-time feature is not verified. Moreover, in Korayem et al. (2012), the spatial cable robot path planning is presented, while in Aslam et al. (2014) the fuzzy SMC is used for path tracking of the four-wheel skid steer vehicle. Both the literatures have designed the controller of SMC. However, the models of the plants are distinct from the articulated vehicle. [Pg.323]

Korayem, M.H., H. Tourajizadeh, M. Jalali, and E. Omidi, 2012, Optimal path planning of spatial cable robot using optimal sliding mode control International Journal of Advanced Robotic Systems, v. 9. [Pg.331]

The requirements of an assisted navigation are automatic path planning, collision detection, and... [Pg.96]

Paik DS, Beaulieu CP, Jeffrey RB, Rubin GD, Napel S (1998) Automated flight path planning for virtual endoscopy. Med Phys 25 629-637... [Pg.100]


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See also in sourсe #XX -- [ Pg.96 , Pg.157 ]

See also in sourсe #XX -- [ Pg.11 , Pg.19 , Pg.20 , Pg.26 , Pg.28 , Pg.39 , Pg.40 , Pg.43 , Pg.44 , Pg.49 , Pg.50 , Pg.51 , Pg.52 , Pg.53 , Pg.54 , Pg.55 , Pg.56 , Pg.59 , Pg.61 , Pg.123 , Pg.124 , Pg.125 , Pg.134 , Pg.138 , Pg.140 , Pg.142 , Pg.144 , Pg.145 , Pg.146 , Pg.183 , Pg.234 ]




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Path-planning task, states

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