Xin‐She Yang

About

Xin‐She Yang is a leading researcher in swarm robotics and bio-inspired computation, with a focus on energy-efficient coordination and multi-robot systems. His work bridges nature-inspired algorithms and practical robotics, particularly in optimizing task allocation and decision-making for robot teams. His most cited paper, "Comparison of bio-inspired algorithms applied to the coordination of mobile robots considering the energy consumption" (2017, 57 citations), demonstrates how algorithms like particle swarm optimization can reduce energy use in multi-robot coordination. He further advanced the field with "Self-adaptive decision-making mechanisms to balance the execution of multiple tasks for a multi-robots team" (2018, 37 citations), introducing adaptive strategies for dynamic environments. His edited volume "Soft Computing for Swarm Robotics: New Trends and Applications" (2019, 28 citations) has become a key reference for researchers. Yang also contributed to the prestigious 27th International Conference on CADCAM, Robotics and Factories of the Future (2014), highlighting his role in shaping industrial robotics research. With over 130 cumulative citations, his work continues to influence energy-aware swarm robotics and adaptive multi-agent systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Comparison of bio-inspired algorithms applied to the coordination of mobile robots considering the energy consumption

   57 citations · 2017
2. 2
   Self-adaptive decision-making mechanisms to balance the execution of multiple tasks for a multi-robots team

   37 citations · 2018
3. 3
   Soft Computing for Swarm Robotics: New Trends and Applications

   28 citations · 2019
4. 4
   27th International Conference on CADCAM, Robotics and Factories of the Future 2014

   8 citations · 2014

Key Collaborators

Contact & Links