Papers
15
Total Citations
240
H-Index
8
About
Sven Cremer is a robotics researcher whose work centers on physical human-robot interaction (pHRI), adaptive control systems, and assistive robotics. He has made significant contributions to the development of intelligent controllers that enable robots to work safely and effectively alongside humans, with his most influential work — a model-free neuroadaptive controller with intent estimation — accumulating 73 citations since its 2019 publication. Cremer's research addresses a fundamental challenge in collaborative robotics: building systems that can anticipate human intent and dynamically adapt to variable human dynamics in real time. His 2015 work on intent-aware adaptive admittance control (50 citations) laid important groundwork in this space, while complementary studies explored neuroadaptive safety frameworks and tactile sensing simulation through tools like SkinSim. Beyond control theory, Cremer has broadened his scope to applied domains, investigating robotic nursing assistants, personal robots in household environments, and adaptive teleoperation interfaces. His evaluation of the Baxter research robot (28 citations) also reflects a commitment to benchmarking real-world collaborative platforms. Collectively, Cremer's portfolio demonstrates a researcher dedicated to bridging theoretical rigor with practical deployment of robots in human-centered environments.
Research Focus
Key Achievements
Top Papers
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- 3On the performance of the Baxter research robot28 citations · 2016
- 4Neuroadaptive control for safe robots in human environments: A case study18 citations · 2015
- 5Investigation of human-robot interface performance in household environments15 citations · 2016
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- 8Robotic waiter with physical co-manipulation capabilities8 citations · 2014
- 9
- 10Adaptive Interface for Robot Teleoperation using a Genetic Algorithm6 citations · 2018