A vision-based approach for autonomous motion in cluttered environments

HIGHLIGHTS

• who: Zhenping Wu and colleagues from the School of Aeronautic Science and Engineering, Beihang University, Beijing, China have published the research work: A Vision-Based Approach for Autonomous Motion in Cluttered Environments, in the Journal: (JOURNAL)
• what: The authors propose a combined strategy to achieve the real-time safe and smooth autonomous motion of robots in complex environments. Based on the acquired perception data, the authors propose a new motion-planning algorithm to generate a safe and smooth path in real time that theoretically guarantees the safety of the entire path and avoids the time . . .
  

   

  

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