Papers

2

Total Citations

8

H-Index

2

About

Peng Ping is a researcher whose work bridges robotics, autonomous systems, and practical engineering solutions. Their key research areas include continuum robotics for search and rescue operations, and the development of intelligent navigation systems for autonomous vehicles. One of their major contributions is the design of a dynamic obstacle avoidance system for self-driving sweepers, which adapts the lattice-planner algorithm within the Robot Operating System (ROS) to create a control system tailored to the unique driving characteristics of cleaning vehicles. This work, published in 2021, has garnered 4 citations and represents a practical step toward safer, more efficient autonomous urban maintenance. Earlier, Ping introduced a novel continuum robot for search and rescue, deriving its forward kinematics using the product of exponentials formula—a more concise approach than the traditional Denavit–Hartenberg method. This foundational work, also with 4 citations, demonstrates Ping’s ability to innovate in both soft robotics and autonomous navigation. Together, these contributions highlight a career focused on creating intelligent, adaptable machines for real-world challenges, from disaster response to smart city infrastructure.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Design of dynamic obstacle avoidance system for self-driving sweeper based on lattice-planner
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Nantong University, Hebei University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago