Scholarlink

This study presents a four-wheel-steering, four-wheel-drive (4WS4WD) robot designed for autonomous exploration in unknown environments. The system integrates SLAM, global path planning, and a dynamic local path adjustment method for efficient navigation. A fuzzy logic controller enhances maneuverability using counter-steering and crab-steering. Experimental results in simulation and real-world settings demonstrate robust mapping, obstacle avoidance, and path optimization, contributing to improved autonomous vehicle navigation in unstructured terrains.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Autonomous Navigation and Path Optimization for 4WS4WD Robots

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Sourabh Subhash Rajput

摘要

This study presents a four-wheel-steering, four-wheel-drive (4WS4WD) robot designed for autonomous exploration in unknown environments. The system integrates SLAM, global path planning, and a dynamic local path adjustment method for efficient navigation. A fuzzy logic controller enhances maneuverability using counter-steering and crab-steering. Experimental results in simulation and real-world settings demonstrate robust mapping, obstacle avoidance, and path optimization, contributing to improved autonomous vehicle navigation in unstructured terrains.