Papers
26
Total Citations
695
H-Index
14
About
Steven L. Waslander is a prominent robotics researcher whose work spans autonomous systems, multi-robot coordination, autonomous vehicles, and robotic perception. He is perhaps best known for his foundational contributions to persistent multi-robot tasking, particularly his development of dedicated charging robot teams to sustain long-duration UAV missions — work that has garnered over 240 citations across two landmark papers from 2013 and 2015. His research on path-following controllers for car-like robots using transverse feedback linearization further established his expertise in mobile robot motion planning and control. Waslander's impact extends into real-world applications, including automated bridge inspection using ground robotics and autonomous exploration systems capable of SLAM, coverage planning, and object detection without GPS reliance. More recently, his group has advanced robotic bin-picking through novel datasets and probabilistic depth fusion techniques for handling reflective objects — a notoriously difficult perception challenge. His 2024 work on SmartRefine demonstrates his growing influence in motion prediction for autonomous vehicles. With contributions spanning theory, algorithms, and field deployment, Waslander has established himself as a versatile and impactful figure in modern robotics research, with a cumulative citation record reflecting broad influence across the field.
Research Focus
Key Achievements
Top Papers
- 1Multirobot Rendezvous Planning for Recharging in Persistent Tasks171 citations · 2015
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- 4Automated Bridge Inspection Using Mobile Ground Robotics55 citations · 2019
- 5ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking50 citations · 2021
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