Mattias Wahde
Papers
14
Total Citations
138
H-Index
7
About
Mattias Wahde is a Swedish robotics and artificial intelligence researcher whose work spans autonomous systems, evolutionary computation, and mobile robotics. His research is particularly distinguished by its focus on applying biologically inspired algorithms to solve complex real-world challenges in robot locomotion, navigation, and decision-making. Wahde has made notable contributions to bipedal robot locomotion, pioneering the use of evolutionary optimization and central pattern generators (CPGs) to develop naturalistic walking gaits in both simulated and physical humanoid robots — work that has accumulated dozens of citations and demonstrated practical viability in real hardware. His utility function framework for behavioral organization offers a flexible, robust approach to autonomous robot decision-making, further cementing his influence in the field. Beyond locomotion, Wahde has advanced robot perception through point cloud-based traversability detection using support vector machines, and explored potential field navigation optimization through genetic algorithms. More recently, his team developed ISOLDE, an interactive hospital robot designed to support social distancing during the COVID-19 pandemic, showcasing his commitment to socially impactful robotics. With a body of work totaling over 120 citations, Wahde continues to bridge evolutionary intelligence and practical autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1Learning Traversability From Point Clouds in Challenging Scenarios39 citations · 2017
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- 3Evolutionary optimization of a bipedal gait in a physical robot15 citations · 2008
- 4
- 5A Mobile Interactive Robot for Social Distancing in Hospitals9 citations · 2021
- 6A Robot Localization Method Based on Laser Scan Matching8 citations · 2009
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- 9A General-Purpose Method for Decision-Making in Autonomous Robots5 citations · 2009
- 10Evolution of Biped Locomotion Using Linear Genetic Programming5 citations · 2007