Bo Xiong

About

Bo Xiong is a leading researcher in industrial human-robot collaboration (HRC), with a focus on developing safe, intelligent, and human-aware robotic systems. His work bridges reinforcement learning and shared autonomy to enable seamless cooperation between humans and robots in manufacturing environments. Xiong’s most influential contribution, "Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function" (2021), has garnered 124 citations, demonstrating its significant impact on the field. This paper introduces a novel approach that uses intrinsic reward functions to train robots to prioritize safety while maintaining task efficiency, a critical advancement for real-world factory settings. His earlier work, "Towards Shared Autonomy Framework for Human-Aware Motion Planning in Industrial Human-Robot Collaboration" (2020), laid the groundwork by proposing a framework where robots dynamically adapt their motion planning based on human behavior, ensuring both productivity and physical safety. Xiong’s research is notable for its practical orientation, directly addressing the challenges of deploying collaborative robots alongside human workers. His achievements contribute to the broader goal of creating intuitive, trustworthy robotic teammates, making him a key figure in advancing Industry 5.0’s vision of human-centric automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function

   124 citations · 2021
2. 2
   Towards Shared Autonomy Framework for Human-Aware Motion Planning in Industrial Human-Robot Collaboration

   10 citations · 2020

Key Collaborators

Contact & Links