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Angela Schoellig

2 accepted papers

2023

POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments

RSS 2023poster

Simultaneous localization and mapping (SLAM) in slowly varying scenes is important for long-term robot task completion in GPS-denied environments. Failing to detect scene changes may lead to inaccurate maps and, ultimately, lost robots. Classical SLAM algorithms assume static scenes, and recent work…

2017

Safe Model-based Reinforcement Learning with Stability Guarantees

NeurIPS 2017poster

Reinforcement learning is a powerful paradigm for learning optimal policies from experimental data. However, to find optimal policies, most reinforcement learning algorithms explore all possible actions, which may be harmful for real-world systems. As a consequence, learning algorithms are rarely ap…