Papers
102
Total Citations
1,250
H-Index
19
About
Jacky Baltes is a pioneering robotics researcher whose work sits at the intersection of humanoid robotics, autonomous systems, and artificial intelligence. Best known for his sweeping contributions to humanoid robot development and robot soccer competitions, Baltes has helped shape how the global research community approaches embodied intelligence and autonomous behavior in complex, dynamic environments. His highly cited survey on humanoid robot development (2019, 106 citations) stands as a definitive reference for researchers entering the field, cataloguing the state of the art across design, locomotion, and application. Baltes has been a central figure in the RoboCup community, contributing to Robot Soccer World Cup documentation and articulating a bold vision for humanoid robots competing against humans by 2050 (71 citations). He also founded the HuroCup competition, a multi-event athletic challenge that has pushed humanoid robot capabilities far beyond single-task benchmarks since 2002. Beyond competitions, Baltes has made meaningful advances in multi-robot task allocation using metaheuristic optimization, fuzzy-logic-based navigation, and deep reinforcement learning for physical manipulation tasks. His research consistently bridges theoretical rigor with real-world robotics challenges, and his cumulative citation record reflects sustained, broad influence across robotics, AI, and autonomous systems research spanning nearly two decades.
Research Focus
Key Achievements
Top Papers
- 1A comprehensive survey on humanoid robot development106 citations · 2019
- 2RoboCup 2009: Robot Soccer World Cup XIII84 citations · 2010
- 3Humanoid Robots in Soccer: Robots Versus Humans in RoboCup 205071 citations · 2015
- 4Multi-robot Task Allocation Using Clustering Method44 citations · 2016
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- 6HuroCup: competition for multi-event humanoid robot athletes35 citations · 2016
- 7Fuzzy potential energy for a map approach to robot navigation32 citations · 2006
- 8Robotics competitions as benchmarks for AI research30 citations · 2011
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