Rebecca Kramer-Bottiglio

4 papers · 2019–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze

Venues

RSS (2) CoRL (1) L4DC (1)

Top co-authors

Josh Bongard (2) Mridul Aanjaneya (2) Nelson Chen (2) Kostas Bekris (2) Michael Levin (2) Sam Kriegman (2) Douglas Blackiston (1) William R. Johnson III (1) Stephanie Walker (1) Dylan S. Shah (1)

Research topics

Deep Learning (2) Reinforcement Learning (2) Robotics (2) Applications · Reinforcement Learning (2) Architectures (2) Systems (2) Knowledge & Reasoning (1) Machine Learning (1) Application Areas (1) Applications · Robotics (1) Capabilities (1) Representation (1)

Keywords

graph neural network (2) partial observability (1) robot morphology (1) evolutionary algorithm (1) degrees of freedom (1) contact dynamics (1) autonomous robot (1) scale invariance (1) soft robot (1) damage recovery (1) shape change (1) robot adaptation (1) cable-driven robot (1) function recovery (1) fractal structure (1) self-similar structure (1) shapeshifting robot (1) locomotion adaptation (1) trajectory rollout (1) model predictive path integral (1)

Papers

CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics L4DC 2026 Learning Differentiable Tensegrity Dynamics using Graph Neural Networks CoRL 2024 Scale invariant robot behavior with fractals RSS 2021 Automated Shapeshifting for Function Recovery in Damaged Robots RSS 2019