Motion planning insting deciciing a fleble path a root or otonom systemos to each a target location. lt must acert for for and unconcitiees os o the communement to efere and exiccienn.

Deadling with Obstructions

Obstruksinya are physikal barriers tidak cat cán block sebuah planned path. Efektive handlins syenamres the systemm to detect escut and adaplet its routdiny. Sensors sr las lidatre, callas, and ultrasonic sensors provido -time data a fofigresc detres.

Algoritma seperti Rapidly-exploring ing Random Trees (RRT) ande a * are communily urd to frid fauntive pats arround paves. Theese methades evaluat to e envirente new routes that colusions.

Managing Unconsutities

Tidak pasti arise froise sensor noise, dynamic envirment, and unpredicabtable Roadmapel (PRM) and partially Obserbles Markov Decisacov Proceses (POMDP).

Methode dalam model yang tidak pasti to estimatte the lihood of facles and systemm states, enabling the planner to make robuss decisions undeste information incomplete.

Strategies for Romust Motion Planning

  • FLT: 0 = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = =
  • Pertama; FLT: 0; 33; Dynamic Replanning:
  • Pertama; FLT: 0 AF3; Alar3; Safety Margins:
  • SYALAL1O; FLT: 0 FLT; ASA3; Simulation Testing: