Arne Sieverling
Papers
7
Total Citations
301
H-Index
6
About
Arne Sieverling is a roboticist whose work sits at the intersection of manipulation, motion planning, and uncertainty. He is best known for his role in the winning entry to the 2015 Amazon Picking Challenge, a landmark event that catalyzed industrial bin-picking research. His highly cited paper on that experience (over 200 combined citations) distilled the challenge into four key aspects of building robotic systems—modularity, perception, planning, and system integration—providing a lasting framework for the field. Beyond that headline achievement, Sieverling has made foundational contributions to planning under uncertainty. He developed planners that interleave free-space motion with deliberate contact, allowing robots to reduce positional uncertainty by touching and sensing the environment. His work on contingent contact-based motion planning shows how robots can reason about multiple world hypotheses and use contact to disambiguate them. These methods are critical for real-world manipulation where sensor noise and dynamic obstacles are inevitable. Sieverling’s research demonstrates a rare combination: a deep theoretical grasp of probabilistic planning and a proven ability to build complete, competition-winning robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Contingent Contact-Based Motion Planning23 citations · 2018
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- 7Sensor-based, task-constrained motion generation under uncertainty4 citations · 2014