Mattias Wahde

Chalmers University of Technology

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

7
H-Index
14
Papers
138
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Learning Traversability From Point Clouds in Challenging Scenarios
39 citations · 2017
📈 Most Prolific Year: 2005 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Chalmers University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago