Rasmus Pedersen
Papers
7
Total Citations
36
H-Index
4
About
Rasmus Pedersen’s research sits at the intersection of cognitive robotics, model predictive control, and probabilistic robotics, with a focus on enabling intelligent, autonomous systems to operate in dynamic and uncertain environments. His most cited work introduces a novel path-following model predictive controller for ballbots—dynamically unstable robots that balance on a single ball—simplifying quaternion-based models for real-time control. He has also proposed an idiomatic framework for cognitive robotics, inspired by the “cognitive hourglass” model, to streamline the development of cognitive architectures for embodied agents. In the domain of construction robotics, Pedersen contributed a model-free controller for a wall-mounting robot (WallMo) and explored physical human-robot interaction through external force estimation. His more recent work advances distributed multi-robot systems, combining stochastic variational inference with message passing to achieve computationally tractable navigation and collision avoidance. Additionally, he has developed a probabilistic programming idiom for active knowledge search, demonstrating its utility in exploration algorithms. With over 30 citations across his top papers, Pedersen’s contributions span control theory, cognitive architecture design, and human-robot collaboration, marking him as a versatile researcher pushing the boundaries of autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1Path-Following Model Predictive Control of Ballbots8 citations · 2020
- 2Toward an idiomatic framework for cognitive robotics8 citations · 2022
- 3Control of Wall Mounting Robot7 citations · 2017
- 4A Probabilistic Programming Idiom for Active Knowledge Search4 citations · 2022
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