Papers
5
Total Citations
278
H-Index
5
About
Jan Oberlander is a leading researcher in autonomous robotics, with a primary focus on motion planning, shared autonomy, and field robotics. His most impactful contribution is the development of RRT*-Connect, an asymptotically optimal motion planning algorithm that combines the efficiency of RRT-Connect with the optimality guarantees of RRT*. This work, which has garnered 201 citations, has become a foundational method for solving single-query path planning problems in complex environments. Oberlander has also advanced autonomous valet parking systems, introducing a multi-story navigation framework that integrates electric vehicle charging, a concept with 29 citations. In the domain of shared autonomy, he pioneered contextual task-aware teleoperation, enabling mobile robots to assist human operators in hazardous environments by recognizing operator intent. His work on multi-resolution 3D environmental modeling for planetary exploration further underscores his versatility, supporting safe autonomous navigation in unknown terrains. With a portfolio of highly cited papers and a focus on practical, deployable systems, Oberlander’s research bridges theoretical optimality and real-world application, making him a key figure in the evolution of intelligent, autonomous mobile robots.
Research Focus
Key Achievements
Top Papers
- 1RRT*-Connect: Faster, asymptotically optimal motion planning201 citations · 2015
- 2Autonomous multi-story navigation for valet parking29 citations · 2016
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