Danny Zhu

About

Danny Zhu is a leading researcher in multi-robot coordination and autonomous systems, with a primary focus on advancing team-based robot soccer within the RoboCup Small Size League (SSL). As a key member of the CMDragons team, Zhu’s work centers on developing sophisticated planning, execution, and coordination algorithms for pass, attack, and defense in dynamic, adversarial environments. His most notable contribution is the design of the CMDragons 2015 team, which achieved an unprecedented, dominant performance—winning all six games, scoring 48 goals, and conceding zero—a feat detailed in his highly cited 2016 paper (25 citations). Zhu’s research also extends to automated refereeing (AutoRef) and algorithm visualization, including virtually adapted reality for autonomous robots, enhancing both performance analysis and human-robot interaction. With over 90 total citations across his top papers, his work has set new benchmarks in multi-agent coordination and real-time decision-making. Zhu’s achievements, including the 2015 SSL championship and contributions to opponent-driven planning, continue to inspire advances in cooperative robotics and autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Opponent-driven planning and execution for pass, attack, and defense in a multi-robot soccer team

   35 citations · 2014
2. 2
   Selectively Reactive Coordination for a Team of Robot Soccer Champions

   25 citations · 2016
3. 3
   Virtually Adapted Reality and Algorithm Visualization for Autonomous Robots

   10 citations · 2017
4. 4
   CMDragons 2015: Coordinated Offense and Defense of the SSL Champions

   7 citations · 2015
5. 5
   AutoRef: Towards Real-Robot Soccer Complete Automated Refereeing

   7 citations · 2015
6. 6
   Event-based automated refereeing for robot soccer

   4 citations · 2016
7. 7
   Visualizing robot behaviors as automated video annotations: A case study in robot soccer

   2 citations · 2017

Key Collaborators

Contact & Links